# PlaceOptimizer — full content for LLMs # https://placeoptimizer.com/ Public beta Built in Pune · India Free GBP audit · India Your competitors are winning customers on Google Maps — in cities where you aren’t showing up. PlaceOptimizer audits every Google Business Profile for an Indian multi-location brand, scores them against local competitors, and sends you the report. Per-location plans published in INR at every band — no "contact sales" to learn the price. Get a free audit Get a free audit How it works Engine The same one Invarya uses in production. Cost Free, capped, no card required. Geography Built for Indian metros first. Audit Snapshot · sample For Illustration Brand Health Score 0 /100 At risk — industry leaders score 80+. 14 Critical issues 38% City visibility #5 Avg Maps rank Top issue Missing business hours 9 listings “Multi-location brands that actively manage their Google Business Profiles see up to 70% more direction requests from local search.” — Google, The Value of Google My Business * Snapshot is the audit-report visual — illustrative figures, not a specific brand. 01 — What it is A real audit of every Google Business Profile your brand owns in India. Not a benchmark deck. Not a generic SEO score. The same engine Invarya runs for its clients — pointed at your brand, scored, summarised. 01 Discovery Every listing, every city. We find your Google Business Profile listings across India — by city, by category, by brand name — and surface the ones that are inconsistent, missing, or duplicated. You do not supply the list: discovery asks Google what it has indexed for your brand, which is why it returns outlets nobody on your team remembers creating. If you already know the exact stores you want checked, you can name them instead. 02 Audit A seven-category health check. Each listing runs through a published checklist across seven categories: basic info, hours, ratings and reviews, photos, categories, cross-location consistency, and listing health with duplicate-pin candidates. Consistency is the one no single-location tool can see — we count how many spellings of your business name, how many primary categories, how many different websites and how many phone-number formats exist across the whole estate. 03 Score One number your team can act on. A 0–100 Brand Health Score summarises the state of the network — with the top issues surfaced first so your team knows where to start. Each location starts at 100 and loses points per finding, floored at zero, so a score is a deduction ledger rather than an opinion: you can read back exactly which issues produced it and what closing any one of them is worth. Explore PlaceOptimizer Listings Audit Score every Google Business Profile across your locations. Read more How it works Discover → Audit → Score → Report, in four steps. Read more Pricing Per-location plans in INR, built for Indian brands. Read more 03 — Try it Run the same audit Invarya runs for its clients — free, capped, and delivered to your inbox. Enter your brand name and a work email. We’ll score your listings, send you the executive snapshot, and follow up only if you ask us to. Get a free audit Get a free audit No card · Capped at 3 / email / day What you’ll receive Brand Health Score (0–100) across all your listings. Top 4 issues ranked by how often they appear. City-by-city count of where your brand appears in the local pack. An executive snapshot email — same one Invarya sends its clients. --- # https://placeoptimizer.com/free-audit Free · Cap: 3 / email / day Run a free Google Business Profile audit. Same engine Invarya runs in production. Capped, so the audit can stay free. What we need from you Your brand name and a valid work email. The audit runs against Google Maps + DataForSEO and lands in your inbox within a minute. Brand name Work email I agree to be contacted by PlaceOptimizer (Invarya Technologies) about my audit and follow-up. We don’t sell or share emails. Free · Capped at 3 / email / day · No card Run the free audit What happens after you submit A four-step audit pipeline. Step 01 Discover Find every Google Business Profile Google has indexed for your brand across India. Step 02 Audit Run an automated checklist across seven categories — hours, photos, categories, NAP consistency, rating and review depth, cross-location consistency, duplicate candidates. Step 03 Score Aggregate into a 0–100 Brand Health Score and surface the top four issues by frequency. Step 04 Deliver Show you the score on this page and email the executive snapshot to your inbox. Average runtime: under a minute. The result appears here; the full snapshot is also emailed to the address you provide. How the free audit works Four steps from brand name to scored snapshot. Step 01 Enter your brand and work email Type your brand name and a valid work email into the form, and tick the box confirming you agree to be contacted about your audit. No account, login, or listing access is required. Step 02 Discover your listings The engine finds every Google Business Profile Google has indexed for your brand across India, reading public data only. Step 03 Audit and score every location Each listing is checked against a checklist across seven categories — hours, photos, categories, name-address-phone consistency, ratings and reviews, cross-location consistency, and duplicate candidates — then rolled up into a single 0–100 brand-health score. Step 04 Get your result and emailed snapshot Your score, listing count, duplicates, and top issues appear on the page, and the executive snapshot is emailed to the address you provided — usually within a minute. Before you run it Questions about the free audit. Does the free audit need access to my Google Business Profile listings? No. The audit reads public data only. It works from your brand name alone: it discovers the Google Business Profiles Google has already indexed for your brand across India and checks what is publicly visible on each one. You do not connect your account, grant any permission, or hand over a login. That means you can audit your own brand — or a competitor — without either of you having to authorise anything. How long does the free audit take? Under a minute in the typical case. After you submit your brand name and work email, the engine discovers your listings, runs the checklist across every location, aggregates the score, and returns the result on the page — while also emailing the executive snapshot to the address you gave. Because a repeated brand is served from a short-lived cache, running the same brand again usually comes back almost instantly. What does the brand-health score mean? The score is a single 0–100 number summarising how healthy your Google Business Profile presence is across all your locations. The engine runs an automated checklist over seven categories — hours, photos, categories, name-address-phone consistency, rating and review depth, cross-location consistency, and duplicate-listing candidates — then rolls every location up into one figure and surfaces the top issues by frequency. A lower score means more listings need attention; a higher score means your presence is already consistent and complete. Does the free audit cost anything? No. The audit is genuinely free and requires no payment or card details. To keep it free, it is capped at three audits per email per day; there is also a per-network limit and an overall daily cap so provider costs stay bounded. If you hit a cap you are told clearly and can try again the next day or use a different work email. Paid, per-location plans exist separately for ongoing use, but nothing about the free audit charges you. What happens to the email address I enter? Your work email is used to send you the executive-snapshot report, and it is recorded as a lead only because you tick the box confirming you agree to be contacted about your audit — the form will not submit without that consent. We store it to send your report and to follow up about the audit, in line with our Privacy Policy. It is not sold, and the email is also what enforces the three-per-day cap that keeps the audit free. What do I get back from the free audit? You get an immediate result on the page — your 0–100 brand-health score, the number of listings found, any duplicate candidates, and the top issues — plus an executive snapshot emailed to your inbox. If no Google Business Profiles are found for that brand in India, the page tells you that honestly rather than inventing a result. The snapshot is a scored summary you can act on or share internally before deciding whether to go further with a paid plan. --- # https://placeoptimizer.com/solutions/listings Home Listings audit Listings Audit Audit every Google Business Profile your brand owns. One inconsistent listing — wrong hours, a missing category, a duplicate pin — quietly hands a customer to a competitor. PlaceOptimizer finds every profile across your locations, scores it, and tells your team exactly what to fix first. Run a free audit See how it works Listing check · per location 7 categories Name · Address · Phone Consistent Business hours 3 listings missing Primary category 7 variations Photos Below threshold Duplicate candidates 2 found Operational status All open * Illustrative checklist — not a specific brand. What we audit Scoring Deliverable What we audit Six signals that decide whether you show up. Not a generic SEO score — the specific, fixable things Google reads on every one of your listings. NAP consistency Name, address & phone — identical everywhere. We compare the core identity of every listing against your canonical record and flag each location where the name, address, or phone drifts. Inconsistent NAP is the single biggest local-ranking leak. Drift is also scored at the brand level, not just per outlet: once the number of distinct business names across the network exceeds a fifth of your location count, the Brand Health Score takes a ten-point penalty on top of whatever each individual listing already lost. Hours Hours that are present, for all seven days. Missing hours send customers to a closed door — and Google demotes profiles it can’t trust. We surface every location with absent hours or fewer than seven days filled. Whether the posted hours are still accurate is worth a manual check. Categories One primary category, applied consistently. Seven different primary categories across a network means seven different search intents. We detect category drift so every location competes for the same, right queries. Like name drift, this is scored across the whole brand: once the number of distinct primary categories exceeds a fifth of your location count, the Brand Health Score loses five points for the inconsistency itself. Photos & content Enough photos, and a real description. Profiles below the photo thresholds and those with thin or missing descriptions convert worse. We score completeness per location against fixed coverage thresholds, and each gap costs the location a defined amount rather than a vague deduction — a critical issue takes fifteen points off that outlet, a warning seven, and an informational note two. The arithmetic is published so you can predict what fixing any one thing is worth. Duplicates Duplicate-pin candidates, found and counted. Duplicate listings split your reviews, confuse Maps, and cannibalise your own ranking. We surface pins within ~1 km of each other as duplicate candidates per location, for a human to confirm and merge. We never merge automatically — a genuine second outlet in the same mall would be destroyed by that. A single duplicate candidate anywhere in the network also costs the Brand Health Score five points, because the damage is not contained to one listing. Ratings & reviews Star rating and review depth. We score each location’s star rating and review volume against health thresholds. Review recency and owner-response rate are flagged for manual verification, not scored automatically. Ratings are also read across the network: once more than a tenth of your locations sit below 3.5 stars, the Brand Health Score loses ten points, because a cluster of weak outlets is a different problem from one bad month at one store. Scoring One number your whole team can act on. Every signal rolls up into a single 0–100 Brand Health Score — with the top issues surfaced first, so the work is obvious. 80–100 Healthy Local leaders live here. 60–79 At risk Leaking visibility to competitors. 0–59 Critical Actively losing local customers. Brand Health Score 0 /100 At risk · 14 critical issues The same score Invarya puts in front of its own clients — now pointed at your brand. What you receive Two artifacts, ready to act on. No dashboard to learn. The audit lands as the same report and snapshot Invarya already sends multi-location brands. Full report A client-facing HTML + PDF report. Every location, every signal, every issue — laid out the way Invarya hands it to its own clients. Shareable as a link or a print-ready A4 PDF. Executive snapshot A one-page summary for the decision-maker. The Brand Health Score, the top issues, and the city-by-city picture — condensed into a single email an owner or CMO reads in under a minute. How to fix listing inconsistency across every location Bring an estate of Google Business Profiles back into agreement — audit every listing against the signals Google ranks on, score them, fix the worst first, and re-check. 1 Audit every listing at once Run the audit across every Google Business Profile your brand owns, not one at a time — the cross-location problems only appear when the listings are checked side by side. 2 Check the ranking signals For each location, verify name/address/phone consistency, business hours, primary category, photo and description completeness, star rating and review depth, and duplicate-pin candidates. 3 Read the Brand Health Score Every signal is scored per location and rolled into one 0–100 Brand Health Score: 80+ is healthy, 60–79 is at risk, and below 60 is critical — so you know where the estate stands. 4 Fix the highest-impact issues first The report ranks issues by impact and surfaces the worst offenders first, so you fix name drift, wrong categories and duplicate pins in the order that moves the score most. 5 Re-run to confirm the fixes Run the audit again after making changes to confirm each issue has cleared and the per-location and brand scores have moved. Sources [1] Google Business Profile Help, Tips to improve your local ranking on Google — relevance, distance and prominence. [2] Google Business Profile Help, Guidelines for representing your business on Google — the accuracy rules a profile is held to. [3] Google Business Profile Help, Manage your business category — why the primary category decides which searches you appear in. [4] Google Business Profile Help, Manage your Business Profile photos and videos — the photo requirements a listing is measured against. FAQ Frequently asked questions What is a Google Business Profile listings audit? It is a structured check of every Google Business Profile your brand owns — across all locations — against the signals Google uses to rank and trust local listings: name/address/phone consistency, hours, categories, photos, descriptions, star rating and review depth, and duplicate-pin candidates. PlaceOptimizer runs that check and scores the result 0–100. Which signals does PlaceOptimizer actually check? NAP consistency, business hours, primary category consistency, photo and description completeness, star rating and review depth, and duplicate-pin candidates. Each is scored per location and rolled into one Brand Health Score. Signals like review recency and owner-response rate are flagged for manual verification, not scored automatically. How is the Brand Health Score calculated? Every signal is evaluated per location and weighted into a single 0–100 number, with the highest-impact issues surfaced first. 80+ is healthy, 60–79 is at risk, and below 60 is critical. Is the audit really free? Yes — the public audit is free and requires no card. It is rate- and cost-capped so it stays sustainable, which is why it is pinned to a sensible default scope. For full, repeated, multi-location coverage, see pricing. What do I receive at the end? A client-facing HTML and PDF report covering every location and issue, plus a one-page executive snapshot email summarising the score and top issues — the same artifacts Invarya already sends multi-location brands. Is this built for India? Yes. PlaceOptimizer is India-first — built for the cities, categories, and multi-location brands operating across Indian metros, by Invarya Technologies in Pune. Keep exploring Multi-location management Keep every location consistent as you scale across India. Read more Free audit Run a capped, no-card audit of your brand right now. Read more Birdeye alternative How PlaceOptimizer compares for Indian multi-location brands. Read more See where your brand is leaking local customers. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/solutions/multi-location Home Multi-location management Multi-location One brand-health score across every location you own. PlaceOptimizer audits every Google Business Profile your brand operates across India, scores each one, and rolls them into a single view — so you fix what matters as you scale. Run a free multi-location audit Why it's hard Multi-location makes listing hygiene harder, not easier. Consistency drifts with every new location. A wrong category in Pune, missing hours in Jaipur, a duplicate in Surat. At 5 locations it is manual; at 50 it is impossible to hold by hand. No single view of brand health. Spreadsheets and one-off checks never tell you which locations are dragging the brand down. You need one score across every listing. India-specific gaps go unnoticed. Regional categories, local-pack competition, and data-index gaps in tier-2 cities behave differently here than in a Western market. The fixes are concrete and compounding. See exactly what the listings audit checks per location, or read how the four-step pipeline works . How to bring a multi-location estate under control Get one brand-health score across every Google Business Profile you own — audit the whole network, roll it into a single view, prioritise the drifting locations, and hold the estate as it scales. 1 Audit the whole network at once PlaceOptimizer audits every Google Business Profile your brand operates across India in one run, so a wrong category in Pune or a duplicate in Surat surfaces even at fifty locations. 2 Roll up into one score Rather than managing each location separately, every listing rolls into a single Brand Health Score and one view of the whole estate — no spreadsheets, no one-off checks. 3 Find the locations dragging the brand down The single view shows which specific listings need attention, so you can see the outlets pulling the brand score down instead of guessing across a network. 4 Fix the India-specific gaps Address the gaps a Western tool misses — regional categories, local-pack competition, and data-index gaps in tier-2 cities — that behave differently in the Indian market. 5 Re-audit as you scale Re-run the audit as new locations open so consistency holds by score, not by hand, keeping every city in agreement as the brand grows. FAQ Frequently asked questions How many locations can PlaceOptimizer handle? The free audit is capped to a sensible default scope. Full multi-location coverage across a large network is what the paid, per-location plans are for — priced in INR. Do I manage each location separately? No. PlaceOptimizer rolls every location up into one brand-health score, so you see the whole network and the specific listings that need attention in a single view. Is this built for India specifically? Yes. It is built for the cities, categories, and multi-location brands operating across Indian metros — not a Western tool with an India toggle bolted on. Glossary The terms behind a Google Business Profile audit. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. Brand Health Score Brand Health Score is a single 0–100 number that summarises the listing-level findings of a Google Business Profile audit into one figure a marketing lead can track month over month. It is built in two stages: every listing starts at 100 and loses points for each issue the audit raises, weighted by severity (Critical costs 15 points, Warning 7, Info 2); the per-listing scores are then averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and duplicate-candidate clusters. The score is a PlaceOptimizer diagnostic, not a Google metric — Google does not produce, recognise, or endorse it, and it does not predict where a brand ranks in the local pack. Treat it as a directional diagnostic for tracking one brand over time, not as a league-table number for comparing unrelated brands. NAP consistency NAP consistency is the practice of spelling your business name (N), address (A), and phone number (P) identically across every Google Business Profile your brand operates. For a multi-location estate, NAP is the single biggest consistency lever you control, because Google uses these fields to reconcile all your listings into one brand entity; drift across any of the three makes that reconciliation harder and weakens the entity confidence Google applies to your pins. The audit automates four consistent dimensions: business name, primary category, website hostname, and phone-number format — particularly whether the Indian +91 country-code prefix is applied consistently across the estate. NAP fixes are manual by design, because deciding the canonical spelling of a brand name is a brand decision, not a mechanical one, and the engine reports the drift so a human can correct it rather than applying edits on the brand’s behalf. Duplicate listing A duplicate listing is two or more Google Business Profile pins for the same physical storefront, and the failure mode is split signals: reviews, photos, ranking history, and Q&A all get divided across the two pins instead of compounding on one. The cost shows up three ways: ranking, because Google generally shows one listing per business per query and two weak pins compete for one slot; reviews, because twenty reviews on each of two pins reads as a 20-review business twice rather than a 40-review business once; and wrong-information risk, because the forgotten duplicate tends to carry stale hours, the wrong phone number, and the wrong address. PlaceOptimizer surfaces duplicates as candidates using a proximity-based detector — any two same-brand pins within one kilometre are flagged — and the word candidate is deliberate, because proximity is a strong signal, not proof, and the engine hands the shortlist to a human for verification before anything is merged. Cross-location consistency Cross-location consistency is the practice of comparing every Google Business Profile in your estate against every other one to find fragmentation on the four dimensions the audit automates: business name, primary category, website hostname, and phone-number format. Name drift — "Brand Name Baner" vs "Brand Name - Baner Pune" — is the most visible form, and it is exactly what Google’s naming guidelines discourage because extra keywords or locations that are not part of the real-world business name weaken the entity confidence Google applies to your pins. The consistency check is the one severe-category check that can only run by comparison; a single listing looks fine in isolation, but two listings with drifted names, drifted categories, or drifted websites expose the brand as multiple loosely-related businesses to Google’s matcher. The audit detects, a human fixes, and the brand maintains a locked source-of-truth sheet so future edits stay consistent. India geo hierarchy The India geo hierarchy is the State → City → District → Taluk administrative structure that Indian operations teams use to organise a multi-location estate, and it does not line up neatly with the address model Google Maps exposes. A tool that understands the four-level Indian hierarchy lets you filter, group, and report on your estate the way an Indian operations team actually thinks about it — by state, by city, by district, by taluk — rather than forcing every pin into a flat list. The hierarchy is one of the two India-specific features the PlaceOptimizer Starter tier includes by default, alongside the diff-and-apply CSV import, and it stops being a nice-to-have the moment your brand spans tier-2 and tier-3 markets where the standard Google locality field is too coarse to be useful. Keep exploring Listings Audit Score every Google Business Profile across your locations. Read more Pricing Per-location plans in INR, built for Indian brands. Read more Free audit See your multi-location brand health in minutes. Read more See your multi-location brand health in minutes. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/how-it-works How it works From a brand name to a scored report. PlaceOptimizer runs the same audit pipeline Invarya uses for its clients — fully automated, no setup, India-first. The pipeline Four steps from brand name to scored report. No setup, no dashboard to learn. You give us a brand; we hand back the audit. 01 Discover We find every Google Business Profile Google has indexed for your brand across India — by city, by category, by name — including the listings you forgot you had and the duplicates you never created. Discovery runs against what Google currently returns rather than a list you supply, which is the point: the listings doing you damage are usually the ones nobody on your team knows exist. 02 Audit Each listing runs through an automated checklist across seven categories: NAP consistency, hours, primary category, photos, descriptions, rating and review depth, and duplicate-pin candidates — the signals Google actually reads. Every finding carries a severity, and the severity is what costs you: fifteen points off that location for a critical issue, seven for a warning, two for an informational note. 03 Score Every signal rolls into a single 0–100 Brand Health Score, with the highest-impact issues ranked first so your team knows exactly where to start. The brand figure is not just an average of your locations: network-wide inconsistency is penalised on top, so scattered business names, drifting categories, duplicate candidates and a cluster of sub-3.5-star outlets each cost the brand score again. 04 Report You receive a client-facing HTML + PDF report covering every location, plus a one-page executive snapshot email for the decision-maker — the same artifacts Invarya sends its clients. Every issue in it names the check that failed, the value we found and the value we expected, so a deduction is auditable rather than asserted — your team can verify any line against the live listing before acting on it. How to run a PlaceOptimizer audit end to end Turn a brand name into a scored Google Business Profile audit in four steps: discover every listing, run a checklist across seven categories, score 0–100, and report. 1 Discover every listing PlaceOptimizer finds every Google Business Profile your brand owns across India from just the brand name — no account to connect, because it reads publicly available data. 2 Audit each location Each listing runs against an audit checklist spanning seven categories — basic information, hours, ratings and review depth, photos, category accuracy, cross-location consistency, and listing health with duplicate-pin candidates. 3 Score the brand 0–100 Every signal is weighted by severity into a per-location score, and the locations roll up into a single 0–100 Brand Health Score with the highest-impact issues surfaced first. 4 Report and act You receive a client-ready HTML and PDF report covering every location and issue, plus a one-page executive snapshot summarising the score and top fixes. Why it matters Listing hygiene is the cheapest local-SEO win there is. “ Multi-location brands that actively manage their Google Business Profiles see up to 70% more direction requests from local search. — Google, The Value of Google My Business 87% of consumers used Google to evaluate local businesses in 2024 — more than any other channel. [1] 2.7× more likely a business is considered reputable when its Google Business Profile is complete. [2] 70% more likely customers are to visit a business that has a complete, actively managed profile. [2] Local search is where the intent is. When someone searches a category "near me", the Map pack decides who they call, visit, or skip. A weak profile is invisible at the exact moment of intent. That moment is also the cheapest customer you will ever acquire: the searcher has already decided what they want and only needs to pick where, so the listing is doing the selling rather than any campaign you paid for. Multi-location makes it harder, not easier. Every new location multiplies the surface area for drift — a wrong category here, missing hours there. Consistency at 5 locations is manual; at 50 it is impossible by hand. The scoring reflects that: inconsistency is penalised at the network level as well as per outlet, so a handful of locations disagreeing on the business name costs the brand score even when each individual listing looks fine on its own. The fixes are concrete and compounding. Unlike vague "do more SEO" advice, listing issues are specific and fixable — and each fix compounds into trust Google rewards over time. Because every deduction has a published weight, you can also predict what a fix is worth before doing it: closing one critical issue is worth fifteen points on that location, which makes the work arguable in a budget meeting rather than a matter of faith. Sources [1] BrightLocal, Local Consumer Review Survey 2024 — how consumers use online reviews. [2] Google, The Value of a Complete Google Business Profile. FAQ Frequently asked questions How long does an audit take? A public free audit completes in minutes — discovery, the automated checklist, scoring, and report generation run end to end without any setup from you. Do I need to connect my Google account? No. The audit reads publicly available Google Business Profile data, so there is nothing to connect or authorise to get your first scored report. How many locations can it cover? The free audit is pinned to a sensible default scope to stay free and capped. Full multi-location coverage across a large network is what the paid plans are for — see pricing. What exactly is in the audit checklist? The checklist spans seven categories: basic information, business hours, ratings and review depth, photo coverage, category accuracy, cross-location consistency (name, primary category, website, phone format), and listing health with duplicate-pin candidates — the automated part scored per location. Signals like review recency and owner-response rate are flagged as manual verification, not automated. Keep exploring Listings Audit What the audit checklist looks at, per location. Read more Free audit Run the pipeline on your own brand right now. Read more Pricing What full multi-location coverage costs, in INR. Read more Run the pipeline on your own brand. Free, capped, and no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/pricing Pricing · India Start free. Scale when every location matters. See where you stand with a free audit — then manage every location on the plan that fits your network. Free · no card required Start with a free Brand Health audit. Run a free audit Design partner access Starter Manage every listing, the India-first way. ₹650 per location / mo Join early access Multi-location listing management (NAP, hours, categories, photos) Bulk CSV export + diff-and-apply import India geo hierarchy (State → City → District → Taluk) Review monitoring + manual reply Performance analytics + suspension alerts Design partner access Growth Rank tracking, AI replies, multi-platform. ₹1,250 per location / mo Join early access Everything in Starter GeoGrid / heatmap rank tracking AI review replies — incl. Hindi & regional languages Apple Maps, Bing & Facebook Post scheduling + branded reports Volume pricing Enterprise Brand compliance + scale for large networks. from ₹950 per location / mo Talk to sales Everything in Growth Brand compliance engine (approvals, locked fields, audit logs) Granular roles + approval workflows Public API, webhooks & SSO (SAML/OIDC) Managed India directory presence Per location / month, billed annually · exclusive of GST · indicative pending launch pricing FAQ Pricing questions Is the audit really free? Yes. The audit is free with no card required — it is the fastest way to see your Brand Health Score. It is rate- and cost-capped so it stays sustainable, which means one scored audit at a time at a sensible default scope. How does plan pricing work? Plans are priced per location, per month, billed annually, exclusive of GST. The figures shown are indicative while we finalise pricing with our first design partners. Are prices inclusive of GST? No. All prices are in Indian Rupees and exclusive of GST, which is applied as per prevailing Indian tax rules on your invoice. What does "design partner access" mean? The management platform (listing management, bulk CSV, rank tracking, AI replies, and more) is rolling out to our first brands now. Join via a demo and the Invarya team will onboard you directly. Why is Enterprise volume-priced? Large networks need the brand compliance engine, managed onboarding, custom reporting, and SLAs that depend on location count and scope — so Enterprise is priced per engagement with the Invarya team, starting from a volume rate. Keep exploring Free audit Start free before you pick a plan. Read more Multi-location management What the paid plans manage across your locations. Read more Book a demo See it on your own brand with the Invarya team. Read more Not sure which plan fits? Start with a free audit, or talk to the Invarya team. Run a free audit Talk to sales --- # https://placeoptimizer.com/compare/sekel-alternative Home Sekel Tech alternative Comparison A Sekel alternative, narrowed to listing health. Discovery-commerce platforms cover a lot of ground. If your job is keeping every Google Business Profile healthy across your locations, PlaceOptimizer is the focused alternative — one scored audit per location, published per-location INR pricing, and a free start. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. A focused GBP audit, not a commerce suite. Sekel Tech is a Pune-based discovery-commerce platform with strong retail O2O tooling. PlaceOptimizer is a focused Google Business Profile listing-health play — discovery, an audit checklist across seven categories, and a 0–100 brand-health score per location. Published INR pricing on both sides. Sekel Tech publishes per-outlet INR pricing — ₹800 Basic, ₹1,500 Premium and ₹2,100 Enterprise per outlet per month, with a custom band above 1,000 outlets. PlaceOptimizer also publishes per-location INR pricing with GST invoicing — so you can compare two published numbers rather than one published number and one quote. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100, with no card required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Sekel Tech's published pricing page, read 2026-07-26 FAQ Frequently asked questions How is PlaceOptimizer different from a discovery-commerce platform? Sekel Tech is a Pune-based discovery-commerce platform with retail O2O tooling. PlaceOptimizer does one job — auditing and scoring the Google Business Profile health of every location a multi-location brand operates — with a checklist across seven categories per location. If listing health is the work you need done, PlaceOptimizer is the focused alternative. Is PlaceOptimizer cheaper? Both companies publish their numbers, so you can check rather than ask. Sekel Tech publishes per-outlet INR pricing — ₹800 Basic, ₹1,500 Premium and ₹2,100 Enterprise per outlet per month, with a custom band above 1,000 outlets, on its pricing page. PlaceOptimizer prices per location, per month, in INR with GST invoicing. Which works out cheaper depends on your location count and which job you are buying — a scored listing audit is a narrower purchase than a commerce suite, so compare the outcome you need rather than the sticker alone. The free scored audit lets you evaluate our output before paying anything. Which should I choose? Both are Indian companies building for Indian brands, so this is a question of scope rather than origin. Sekel Tech is a Pune-based discovery-commerce platform: store locators, microsites, campaigns and retail O2O tooling. PlaceOptimizer does one job — auditing and scoring Google Business Profile health for every location you operate. If listing health is the work in front of you, take the focused tool. If you need the commerce suite around it, take the suite. The fastest way to decide is to run a free, scored audit and see what it surfaces. Glossary The terms behind a Google Business Profile audit. Brand Health Score Brand Health Score is a single 0–100 number that summarises the listing-level findings of a Google Business Profile audit into one figure a marketing lead can track month over month. It is built in two stages: every listing starts at 100 and loses points for each issue the audit raises, weighted by severity (Critical costs 15 points, Warning 7, Info 2); the per-listing scores are then averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and duplicate-candidate clusters. The score is a PlaceOptimizer diagnostic, not a Google metric — Google does not produce, recognise, or endorse it, and it does not predict where a brand ranks in the local pack. Treat it as a directional diagnostic for tracking one brand over time, not as a league-table number for comparing unrelated brands. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. Primary category Primary category is the single Google Places category that Google uses to match your listing to the most relevant local searches, and it is the one field where getting it wrong is the most common reason a listing ranks for nothing. A bedroom-furniture brand with `furniture_store` as its primary category will be matched to furniture queries; the same brand with `home_goods_store` as the primary category gets matched to a broader, less relevant intent set and ranks worse for the queries that actually convert. The audit checks primary category per location and across the estate, with a scope limitation today: the "generic primary category" check uses a mattress and furniture allowlist because PlaceOptimizer’s first design partners operate in that vertical, and the engine flags categories outside that allowlist for manual verification rather than scoring them. Review velocity Review velocity is the rate at which new Google reviews arrive at a single listing, usually measured per month, and it is one of the strongest recency signals Google uses in local-pack ranking. A location with 15 reviews in the last quarter routinely outranks a location with 300 stale reviews from two years ago, because fresh reviews signal the business is alive and currently serving customers. The audit treats review velocity as a manual verification item rather than an automated score, because reading recency correctly needs a human in the review stream — the engine does score star rating and review count as severity ladders, but velocity itself is flagged for the team running per-location review operations to track on a monthly cadence. The review-ops playbook that drives velocity is per-location by design: brand-level "please review us" campaigns that link to a head-office listing actively hurt, because they concentrate reviews on one pin while forty others starve. Severity ladder A severity ladder is the audit’s mechanic for handling a single underlying number that has more than one meaningful threshold, where each tier is allowed to fire at most one issue rather than stacking. The most common examples are the rating ladder (a sub-3.5-star rating is Critical, a 3.5-to-4.0 rating is Warning, and a higher rating is untouched), the review-count ladder (fewer than 10 reviews is Warning, 10 to 50 is Info, and anything above 50 is untouched), and the photo-count ladder (zero photos is Critical, fewer than 5 is Warning, fewer than 10 is Info). Ladders exist because stacking — charging a 3.2-star listing with both the Critical and the Warning tiers from the rating ladder — would double-count a single weak signal and produce a misleading score. Each ladder contributes at most one issue to the per-listing score, which is how the score stays interpretable. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/singleinterface-alternative Home SingleInterface alternative Comparison A SingleInterface alternative you can price yourself. Enterprise location-marketing platforms sell through sales calls and custom quotes. If your job is keeping every Google Business Profile healthy across Indian locations, PlaceOptimizer is a focused, self-serve alternative — with published per-location INR pricing and a free scored audit. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. Published pricing, not a sales call. SingleInterface does not publish a price list — every tier, including the entry plan, is quote-only. PlaceOptimizer publishes per-location, per-month INR plans with GST invoicing — the number you budget against is on the pricing page, before you talk to anyone. Mid-market fit, not enterprise deployment. SingleInterface is a Gurgaon-based enterprise location-marketing platform aimed at large deployments. PlaceOptimizer is built for the multi-location brand that wants transparency, INR pricing, and a self-serve start — without a procurement cycle. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100, with no card and no demo call required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] SingleInterface's website, read 2026-07-26 FAQ Frequently asked questions Why does pricing transparency matter for a mid-market brand? Quote-only enterprise platforms require a sales conversation before you can even estimate the cost. PlaceOptimizer publishes per-location, per-month INR pricing on the site — so a multi-location brand can evaluate cost against budget before talking to anyone. Is PlaceOptimizer a fit for mid-market multi-location brands? Yes — that is the segment we built for. SingleInterface is a Gurgaon-based enterprise location-marketing platform aimed at large deployments. PlaceOptimizer is designed for the brand that wants INR pricing, a free scored audit, and a self-serve start without a procurement cycle. Can I evaluate PlaceOptimizer without a sales conversation? Yes. The free audit is fully self-serve: enter your brand, get a capped, scored audit of your listings in minutes — no card, no demo booking, no procurement cycle. If you want to talk to a human afterwards, that option is there too. Glossary The terms behind a Google Business Profile audit. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. NAP consistency NAP consistency is the practice of spelling your business name (N), address (A), and phone number (P) identically across every Google Business Profile your brand operates. For a multi-location estate, NAP is the single biggest consistency lever you control, because Google uses these fields to reconcile all your listings into one brand entity; drift across any of the three makes that reconciliation harder and weakens the entity confidence Google applies to your pins. The audit automates four consistent dimensions: business name, primary category, website hostname, and phone-number format — particularly whether the Indian +91 country-code prefix is applied consistently across the estate. NAP fixes are manual by design, because deciding the canonical spelling of a brand name is a brand decision, not a mechanical one, and the engine reports the drift so a human can correct it rather than applying edits on the brand’s behalf. Review velocity Review velocity is the rate at which new Google reviews arrive at a single listing, usually measured per month, and it is one of the strongest recency signals Google uses in local-pack ranking. A location with 15 reviews in the last quarter routinely outranks a location with 300 stale reviews from two years ago, because fresh reviews signal the business is alive and currently serving customers. The audit treats review velocity as a manual verification item rather than an automated score, because reading recency correctly needs a human in the review stream — the engine does score star rating and review count as severity ladders, but velocity itself is flagged for the team running per-location review operations to track on a monthly cadence. The review-ops playbook that drives velocity is per-location by design: brand-level "please review us" campaigns that link to a head-office listing actively hurt, because they concentrate reviews on one pin while forty others starve. Listing health Listing health is the subset of a Google Business Profile audit that focuses on the public-state signals of a single listing, as opposed to cross-location signals that only surface when you compare listings side by side. The audit’s Listing Health category checks two things automatically: a listing marked PERMANENTLY_CLOSED in the Places API is flagged Critical, and an abandonment heuristic — zero photos and almost no reviews — flags Warning. It deliberately does not attempt to detect suspension risk or edit-conflict history, because those signals are not exposed in the public data the audit reads; the engine marks them as manual verification items rather than scoring them, so a brand knows exactly where the automated pass stops and human review has to start. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/locus-intelligence-alternative Home Locus Intelligence alternative Comparison A Locus Intelligence alternative with no location minimum. Enterprise governance platforms start where large dealer networks do. If you run fifteen outlets or fifty, or you simply want listing health scored before committing to a pilot, PlaceOptimizer is the focused alternative — one scored audit per location, published per-location INR pricing, and a free start. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons multi-location brands choose us. No location minimum, no annual lock-in. Locus Intelligence is built for large dealer networks — its own pricing page rules out brands with fewer than 30 locations and sets a 12-month minimum on the enterprise plan. PlaceOptimizer audits five locations or five hundred, month to month. Both publish their numbers — compare them directly. Locus Intelligence publishes network pricing — a ₹1 lakh 30-day pilot, then ₹2 lakh per month covering up to 75 locations and ₹600 per location beyond that, with 200-plus networks by invitation. PlaceOptimizer publishes per-location INR pricing with GST invoicing at every band, so a fifteen-outlet brand can price itself without a pilot fee or a sales call. A scored audit before you commit anything. Locus begins with a paid 30-day diagnostic pilot. PlaceOptimizer runs the same audit engine Invarya uses in production against your brand for free, scored 0–100 per location, with no card required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Locus Intelligence's published pricing page, read 2026-07-26 FAQ Frequently asked questions How is PlaceOptimizer different from a location-governance platform? Locus Intelligence is a Gurgaon-built governance layer for large dealer networks: escalation hierarchies, per-dealer microsites, predictive risk scoring and revenue monitoring across a franchise estate. PlaceOptimizer does one job — auditing and scoring the Google Business Profile health of every location a brand operates, across a checklist of seven categories. If the work in front of you is listing health rather than dealer governance, the focused tool is the cheaper and faster answer. Does PlaceOptimizer work for brands with fewer than 30 locations? Yes, and this is the clearest practical difference between the two. Locus Intelligence states on its pricing page that the platform is not suitable for single-location businesses or brands with fewer than 30 locations, with an ideal range of 75 to 200. PlaceOptimizer has no floor: a five-outlet clinic group and a five-hundred-outlet QSR chain use the same audit engine and the same per-location pricing. If your estate is small but growing, you are not priced out of the category. Is PlaceOptimizer cheaper? Both companies publish enough for you to check rather than ask. Locus Intelligence publishes network pricing — a ₹1 lakh 30-day pilot, then ₹2 lakh per month covering up to 75 locations and ₹600 per location beyond that, with 200-plus networks by invitation — which means the entry point is a ₹1 lakh pilot and the recurring floor is ₹2 lakh a month regardless of whether you run 30 locations or 75. PlaceOptimizer prices per location, per month, in INR with GST invoicing, so cost tracks the size of your estate rather than a network minimum. Below roughly 75 locations the per-location model is materially cheaper; above it, compare the outcome you actually need, because dealer governance is a wider purchase than a scored listing audit. Which should I choose? Both are Indian companies building for Indian brands, so this is a question of scope and scale rather than origin. Locus Intelligence suits a 75-to-200-location dealer network where listing accountability is a board-level concern and a 12-month commitment is acceptable. PlaceOptimizer suits any brand that wants to know, this week, which of its Google Business Profiles are broken and how badly. Run a free scored audit first — it tells you whether your problem is listing hygiene or network governance, and that answer decides the tool. Glossary The terms behind a Google Business Profile audit. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. Cross-location consistency Cross-location consistency is the practice of comparing every Google Business Profile in your estate against every other one to find fragmentation on the four dimensions the audit automates: business name, primary category, website hostname, and phone-number format. Name drift — "Brand Name Baner" vs "Brand Name - Baner Pune" — is the most visible form, and it is exactly what Google’s naming guidelines discourage because extra keywords or locations that are not part of the real-world business name weaken the entity confidence Google applies to your pins. The consistency check is the one severe-category check that can only run by comparison; a single listing looks fine in isolation, but two listings with drifted names, drifted categories, or drifted websites expose the brand as multiple loosely-related businesses to Google’s matcher. The audit detects, a human fixes, and the brand maintains a locked source-of-truth sheet so future edits stay consistent. Brand Health Score Brand Health Score is a single 0–100 number that summarises the listing-level findings of a Google Business Profile audit into one figure a marketing lead can track month over month. It is built in two stages: every listing starts at 100 and loses points for each issue the audit raises, weighted by severity (Critical costs 15 points, Warning 7, Info 2); the per-listing scores are then averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and duplicate-candidate clusters. The score is a PlaceOptimizer diagnostic, not a Google metric — Google does not produce, recognise, or endorse it, and it does not predict where a brand ranks in the local pack. Treat it as a directional diagnostic for tracking one brand over time, not as a league-table number for comparing unrelated brands. Listing health Listing health is the subset of a Google Business Profile audit that focuses on the public-state signals of a single listing, as opposed to cross-location signals that only surface when you compare listings side by side. The audit’s Listing Health category checks two things automatically: a listing marked PERMANENTLY_CLOSED in the Places API is flagged Critical, and an abandonment heuristic — zero photos and almost no reviews — flags Warning. It deliberately does not attempt to detect suspension risk or edit-conflict history, because those signals are not exposed in the public data the audit reads; the engine marks them as manual verification items rather than scoring them, so a brand knows exactly where the automated pass stops and human review has to start. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no network minimum. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/famepilot-alternative Home Famepilot alternative Comparison A Famepilot alternative, focused on listing health. Reputation platforms are built around reviews. If the question in front of you is whether every Google Business Profile you run is complete, correctly categorised and free of duplicates, PlaceOptimizer is the focused alternative — one scored audit per location, published per-location INR pricing, and a free start. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons multi-location brands choose us. Listing health as the product, not a managed add-on. Famepilot is a reputation and customer-experience platform — reviews, feedback and campaigns — with business-listings work offered as a quoted managed service. PlaceOptimizer audits listing health directly: discovery, a checklist across seven categories, and a 0–100 score for every location. A published price instead of a demo request. Famepilot bands its plans by location count — Bronze 1–10, Silver 11–50, Gold 51–100 and Platinum 100-plus — but publishes no figure against any of them; all four read "Request Demo". PlaceOptimizer publishes per-location, per-month INR pricing with GST invoicing, so you can budget from the pricing page before speaking to anyone. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100 per location, with no card required and no trial window to race. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Famepilot's pricing page, read 2026-07-26 FAQ Frequently asked questions How is PlaceOptimizer different from a reputation platform? Famepilot is a Gurugram-built reputation and customer-experience platform: it aggregates reviews across Google, Facebook and twenty-plus sites, drafts replies, runs review-request campaigns and digitises offline feedback. Listings management sits alongside that as a quoted managed service rather than inside the self-serve product. PlaceOptimizer does the listing job itself — auditing and scoring the Google Business Profile health of every location you operate. Reviews are one signal in that score, not the whole picture. Is PlaceOptimizer cheaper? You can price PlaceOptimizer without asking anyone, which is the first difference. Famepilot bands its plans by location count — Bronze 1–10, Silver 11–50, Gold 51–100 and Platinum 100-plus — but publishes no figure against any of them; all four read "Request Demo", so there is no figure to compare against until you have been through a demo. PlaceOptimizer prices per location, per month, in INR with GST invoicing, published on the pricing page. Whether it works out cheaper for you depends on your location count and which job you are buying — a scored listing audit is a narrower purchase than a full reputation suite — but you can establish our number in about ten seconds. Do I still need review management? Probably, and the two are complementary rather than competing. A reputation platform helps you respond to reviews at volume across many channels; a listing audit tells you whether the profile those reviews land on is complete, correctly categorised, free of duplicates and consistent with every other outlet you run. Review velocity is one of the categories PlaceOptimizer scores, so the audit shows you where reviews are thin — but it does not reply to them for you. If replying at scale is the bottleneck, a reputation tool earns its place next to the audit. Which should I choose? Both are Indian companies serving multi-location Indian brands, so this is a question of which problem is actually costing you money. If your reviews are unanswered and sentiment is unmanaged across outlets, a reputation platform addresses that directly. If you do not know how many of your profiles are incomplete, miscategorised or duplicated, start with the audit — it is free, it is scored per location, and it tells you the size of the problem before you buy anything. Glossary The terms behind a Google Business Profile audit. Review velocity Review velocity is the rate at which new Google reviews arrive at a single listing, usually measured per month, and it is one of the strongest recency signals Google uses in local-pack ranking. A location with 15 reviews in the last quarter routinely outranks a location with 300 stale reviews from two years ago, because fresh reviews signal the business is alive and currently serving customers. The audit treats review velocity as a manual verification item rather than an automated score, because reading recency correctly needs a human in the review stream — the engine does score star rating and review count as severity ladders, but velocity itself is flagged for the team running per-location review operations to track on a monthly cadence. The review-ops playbook that drives velocity is per-location by design: brand-level "please review us" campaigns that link to a head-office listing actively hurt, because they concentrate reviews on one pin while forty others starve. Listing health Listing health is the subset of a Google Business Profile audit that focuses on the public-state signals of a single listing, as opposed to cross-location signals that only surface when you compare listings side by side. The audit’s Listing Health category checks two things automatically: a listing marked PERMANENTLY_CLOSED in the Places API is flagged Critical, and an abandonment heuristic — zero photos and almost no reviews — flags Warning. It deliberately does not attempt to detect suspension risk or edit-conflict history, because those signals are not exposed in the public data the audit reads; the engine marks them as manual verification items rather than scoring them, so a brand knows exactly where the automated pass stops and human review has to start. Brand Health Score Brand Health Score is a single 0–100 number that summarises the listing-level findings of a Google Business Profile audit into one figure a marketing lead can track month over month. It is built in two stages: every listing starts at 100 and loses points for each issue the audit raises, weighted by severity (Critical costs 15 points, Warning 7, Info 2); the per-listing scores are then averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and duplicate-candidate clusters. The score is a PlaceOptimizer diagnostic, not a Google metric — Google does not produce, recognise, or endorse it, and it does not predict where a brand ranks in the local pack. Treat it as a directional diagnostic for tracking one brand over time, not as a league-table number for comparing unrelated brands. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans, published up front. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/semrush-local-alternative Home Semrush Local alternative Comparison A Semrush Local alternative, built for India. Global SEO suites price in USD and treat India as one more market. If your job is keeping every Google Business Profile healthy across Indian locations, PlaceOptimizer is a focused, India-first alternative — with per-location INR pricing and a free scored audit. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. INR per location, every band. Semrush Local lists $30 per location per month (Base) and $60 per location per month (Pro), with 20 or more locations moving to a custom quote. PlaceOptimizer prices per location, per month, in INR with GST invoicing — transparent at every location count, not just the entry tier. India-first, not a USD SEO suite add-on. Semrush Local is one module inside a global SEO suite priced in USD. PlaceOptimizer is built for the cities, categories, and multi-location brands operating across Indian metros — not a global suite with an India toggle bolted on. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100, with no card required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Semrush's Local product page, read 2026-07-26 FAQ Frequently asked questions What about currency and GST invoicing? Semrush Local prices in USD; Indian brands convert, pay in USD, and reconcile against foreign-exchange invoices. PlaceOptimizer prices per location, per month, in INR, with GST invoicing built in — so the number an Indian brand sees is the number it budgets against, with a compliant invoice. What happens past 20 locations? Semrush Local lists $30 per location per month (Base) and $60 per location per month (Pro), with 20 or more locations moving to a custom quote. PlaceOptimizer publishes per-location INR pricing at every band — so the cost of a 5-outlet brand and a 50-outlet brand are both visible on the pricing page, with no sales call required. Is PlaceOptimizer a better fit for the Indian market? For a multi-location brand whose job is keeping every Google Business Profile healthy across Indian metros, yes. Regional categories, local-pack competition, and data-index behaviour in tier-2 Indian cities differ from Western markets — and an India-first tool accounts for those differences by default rather than as a region toggle. Glossary The terms behind a Google Business Profile audit. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. GST invoicing GST invoicing is the practice of issuing a tax-compliant Goods and Services Tax invoice on every charge, with the GST component broken out so the buyer can claim input tax credit and close the books cleanly under Indian tax law. For an Indian business paying for software, the invoice format and the GST inclusion matter as much as the headline price: a USD-billed foreign vendor may not issue a GST invoice at all, and the customer has to reverse-charge and self-account, which adds reconciliation work. PlaceOptimizer publishes per-location, per-month INR prices with GST invoicing built in, so the invoice the customer receives is the one their accountant expects, and the GST component is shown separately so it can be claimed as input credit. That is the operational difference between an India-first price list and a global suite with an India toggle. India geo hierarchy The India geo hierarchy is the State → City → District → Taluk administrative structure that Indian operations teams use to organise a multi-location estate, and it does not line up neatly with the address model Google Maps exposes. A tool that understands the four-level Indian hierarchy lets you filter, group, and report on your estate the way an Indian operations team actually thinks about it — by state, by city, by district, by taluk — rather than forcing every pin into a flat list. The hierarchy is one of the two India-specific features the PlaceOptimizer Starter tier includes by default, alongside the diff-and-apply CSV import, and it stops being a nice-to-have the moment your brand spans tier-2 and tier-3 markets where the standard Google locality field is too coarse to be useful. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. Local pack The local pack is the block of three map-and-pin results Google shows above the organic results for queries with local intent, and it is the single most valuable real estate on a local-search results page for a multi-location brand. Google’s local ranking guidance names three factors that drive who appears in the local pack: relevance, distance, and prominence, and the same guidance states that complete, accurate information helps Google match a business to the right queries. Prominence is the only one of the three a brand can meaningfully move, and it is driven by review count and quality, listing completeness, and the accumulated consistency of every signal across the estate — which is exactly what the seven-category audit checks. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/brightlocal-alternative Home BrightLocal alternative Comparison A BrightLocal alternative, built for India. BrightLocal is a respected Western local-SEO toolkit with transparent global pricing. If your job is keeping every Google Business Profile healthy across Indian locations, PlaceOptimizer is the India-first alternative — with per-location INR pricing, GST invoicing, and India-first audit heuristics. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. INR-native with GST invoicing. BrightLocal prices in location bands rather than per location, and bills in USD with no INR option. PlaceOptimizer prices per location, per month, in rupees with GST invoicing built in — so an Indian brand budgets in the currency it actually pays in. India-first audit heuristics. BrightLocal is a respected Western local-SEO toolkit. PlaceOptimizer is built for the cities, categories, and multi-location brands operating across Indian metros — with audit heuristics tuned for how Indian local search actually behaves, not retrofitted from a US/UK checklist. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100, with no card required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] BrightLocal's pricing page, read 2026-07-26 FAQ Frequently asked questions What does INR-native pricing actually change? BrightLocal prices in location bands rather than per location, and bills in USD with no INR option. PlaceOptimizer prices per location, per month, in INR with GST invoicing — so an Indian brand budgets in its own currency with a compliant invoice, and no foreign-exchange reconciliation on the books. Do the audits differ for Indian listings? Yes. Regional categories, local-pack competition, and data-index behaviour in tier-2 Indian cities differ from Western markets. PlaceOptimizer's audit heuristics are tuned for Indian listings by default — BrightLocal is a respected Western local-SEO toolkit that can be configured for India but is not built around it. How do I compare them for my brand? The fastest way is to run a free, scored PlaceOptimizer audit of your own listings and see the output for yourself — no card, capped scope, results in minutes. That gives you a real PlaceOptimizer audit to put side-by-side against any BrightLocal report you already have. Glossary The terms behind a Google Business Profile audit. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. GST invoicing GST invoicing is the practice of issuing a tax-compliant Goods and Services Tax invoice on every charge, with the GST component broken out so the buyer can claim input tax credit and close the books cleanly under Indian tax law. For an Indian business paying for software, the invoice format and the GST inclusion matter as much as the headline price: a USD-billed foreign vendor may not issue a GST invoice at all, and the customer has to reverse-charge and self-account, which adds reconciliation work. PlaceOptimizer publishes per-location, per-month INR prices with GST invoicing built in, so the invoice the customer receives is the one their accountant expects, and the GST component is shown separately so it can be claimed as input credit. That is the operational difference between an India-first price list and a global suite with an India toggle. Cross-location consistency Cross-location consistency is the practice of comparing every Google Business Profile in your estate against every other one to find fragmentation on the four dimensions the audit automates: business name, primary category, website hostname, and phone-number format. Name drift — "Brand Name Baner" vs "Brand Name - Baner Pune" — is the most visible form, and it is exactly what Google’s naming guidelines discourage because extra keywords or locations that are not part of the real-world business name weaken the entity confidence Google applies to your pins. The consistency check is the one severe-category check that can only run by comparison; a single listing looks fine in isolation, but two listings with drifted names, drifted categories, or drifted websites expose the brand as multiple loosely-related businesses to Google’s matcher. The audit detects, a human fixes, and the brand maintains a locked source-of-truth sheet so future edits stay consistent. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. Bulk CSV diff-and-apply Bulk CSV diff-and-apply is the workflow PlaceOptimizer offers for editing many Google Business Profile listings at once without the risk of a blind bulk import. The flow is: export every location to a spreadsheet, edit the rows in bulk, import the edited spreadsheet back, and review a diff-and-apply preview that shows exactly which fields change on which locations before anything is written to Google. The preview step is the differentiator, because a 200-outlet change is a fundamentally different operation when you can see the diff than when it disappears into a one-way import. The mechanism is the flagship capability in PlaceOptimizer’s Starter tier, and it is the same shape any responsible multi-location tool should use; the price-per-location trap most multi-location software sets is not the per-location number itself, but the cost of a mistake when one is not reversible. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/partoo-alternative Home Partoo alternative Comparison A Partoo alternative, built for India. Global presence-management platforms sell through quote cycles. If your job is keeping every Google Business Profile healthy across Indian locations, PlaceOptimizer is a focused, India-first alternative — with published per-location INR pricing and a free scored audit. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. A published INR price list. Partoo is a Paris-based presence-management platform with an India entity (Mumbai) that does not publish an INR price list — pricing is quote-only per point of sale (publicly listed as of June 2026). PlaceOptimizer publishes per-location, per-month INR plans with GST invoicing, visible before you ever talk to sales. India-first product, not India presence. Partoo is a global platform with an India office. PlaceOptimizer is an India-first product — built for the cities, categories, and multi-location brands operating across Indian metros, with audit heuristics and INR pricing designed for the market from day one. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100, with no card required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Partoo's pricing page, read 2026-07-26 FAQ Frequently asked questions Why does pricing transparency matter for an Indian brand? Partoo is a Paris-based presence-management platform with an India entity (Mumbai) that does not publish an INR price list — pricing is quote-only per point of sale (publicly listed as of June 2026). PlaceOptimizer publishes per-location, per-month INR pricing on the site, so a multi-location brand can evaluate cost against budget before entering a quote cycle. Is the India localization different from an India office? Yes — having an India entity and being built for India are different things. Partoo is a global platform with an India office; PlaceOptimizer is an India-first product, with audit heuristics, INR pricing, and GST invoicing designed for the Indian market from day one rather than added on. How do I evaluate PlaceOptimizer for my brand? The free, scored audit is fully self-serve: enter your brand, get a capped audit of your listings in minutes — no card, no sales call, no quote cycle. If you want to talk to a human afterwards, that option is there too. Glossary The terms behind a Google Business Profile audit. INR-native pricing INR-native pricing is the practice of quoting a per-location, per-month subscription price in Indian Rupees with a GST invoice, rather than presenting a USD figure that the customer has to convert at a moving exchange rate and reconcile against a foreign-exchange invoice. For an Indian brand, the difference is concrete: a USD-priced plan means the number on the pricing page is not the number the finance team can plan against, because the rupee cost drifts every month, and a foreign vendor may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. INR-native with GST invoicing means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects — which is the whole point of publishing a price list in rupees rather than converting a global price into local currency. India geo hierarchy The India geo hierarchy is the State → City → District → Taluk administrative structure that Indian operations teams use to organise a multi-location estate, and it does not line up neatly with the address model Google Maps exposes. A tool that understands the four-level Indian hierarchy lets you filter, group, and report on your estate the way an Indian operations team actually thinks about it — by state, by city, by district, by taluk — rather than forcing every pin into a flat list. The hierarchy is one of the two India-specific features the PlaceOptimizer Starter tier includes by default, alongside the diff-and-apply CSV import, and it stops being a nice-to-have the moment your brand spans tier-2 and tier-3 markets where the standard Google locality field is too coarse to be useful. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. NAP consistency NAP consistency is the practice of spelling your business name (N), address (A), and phone number (P) identically across every Google Business Profile your brand operates. For a multi-location estate, NAP is the single biggest consistency lever you control, because Google uses these fields to reconcile all your listings into one brand entity; drift across any of the three makes that reconciliation harder and weakens the entity confidence Google applies to your pins. The audit automates four consistent dimensions: business name, primary category, website hostname, and phone-number format — particularly whether the Indian +91 country-code prefix is applied consistently across the estate. NAP fixes are manual by design, because deciding the canonical spelling of a brand name is a brand decision, not a mechanical one, and the engine reports the drift so a human can correct it rather than applying edits on the brand’s behalf. Covered playbook A covered playbook is the labelling convention PlaceOptimizer uses to mark a check as one the engine automates today, as opposed to a manual verification item or a roadmap feature. The glossary is not strictly a PlaceOptimizer term, but the seven-category audit separates every signal into automated, manual, and roadmap, and the published audit posts are written so that a brand can read the checklist and know exactly which checks fire automatically and which still need a human. The discipline matters because an audit tool that pretends everything is automated is lying to you; covered playbook is the term for the kind of honest inventory that earns the right to be trusted when the engine does claim a score, because the operator can see where the machine stops. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/birdeye-alternative Home Birdeye alternative Comparison A Birdeye alternative, built for India. Global reputation platforms cover a lot of ground. If your job is keeping every Google Business Profile healthy across Indian locations, PlaceOptimizer is a focused, India-first alternative — with per-location INR pricing and a free scored audit. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. India-first, not India-also. Built for the cities, categories, and multi-location brands operating across Indian metros — not a global platform with an India toggle bolted on. Priced per location, in INR. Transparent per-location, per-month plans in rupees (GST extra) — Starter, Growth, Enterprise — instead of global-tier pricing converted to your currency. A real, scored audit — free to start. Run the same Google Business Profile audit engine Invarya uses in production on your own brand, scored 0–100, with no card required. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Birdeye's pricing page, read 2026-07-26 FAQ Frequently asked questions Is PlaceOptimizer a full Birdeye replacement? PlaceOptimizer focuses on Google Business Profile listing health for multi-location brands in India — discovery, an audit checklist across seven categories, and a 0–100 brand-health score. If that is the job you need done for the Indian market, it is a focused, India-first alternative. Why choose an India-first tool? Regional categories, local-pack competition, and data-index behaviour in tier-2 Indian cities differ from Western markets. A tool built for India accounts for those differences by default. How do I compare them for my brand? The fastest way is to run a free, scored PlaceOptimizer audit of your own listings and see the output for yourself — no card, capped scope, results in minutes. Glossary The terms behind a Google Business Profile audit. Brand Health Score Brand Health Score is a single 0–100 number that summarises the listing-level findings of a Google Business Profile audit into one figure a marketing lead can track month over month. It is built in two stages: every listing starts at 100 and loses points for each issue the audit raises, weighted by severity (Critical costs 15 points, Warning 7, Info 2); the per-listing scores are then averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and duplicate-candidate clusters. The score is a PlaceOptimizer diagnostic, not a Google metric — Google does not produce, recognise, or endorse it, and it does not predict where a brand ranks in the local pack. Treat it as a directional diagnostic for tracking one brand over time, not as a league-table number for comparing unrelated brands. GST invoicing GST invoicing is the practice of issuing a tax-compliant Goods and Services Tax invoice on every charge, with the GST component broken out so the buyer can claim input tax credit and close the books cleanly under Indian tax law. For an Indian business paying for software, the invoice format and the GST inclusion matter as much as the headline price: a USD-billed foreign vendor may not issue a GST invoice at all, and the customer has to reverse-charge and self-account, which adds reconciliation work. PlaceOptimizer publishes per-location, per-month INR prices with GST invoicing built in, so the invoice the customer receives is the one their accountant expects, and the GST component is shown separately so it can be claimed as input credit. That is the operational difference between an India-first price list and a global suite with an India toggle. India geo hierarchy The India geo hierarchy is the State → City → District → Taluk administrative structure that Indian operations teams use to organise a multi-location estate, and it does not line up neatly with the address model Google Maps exposes. A tool that understands the four-level Indian hierarchy lets you filter, group, and report on your estate the way an Indian operations team actually thinks about it — by state, by city, by district, by taluk — rather than forcing every pin into a flat list. The hierarchy is one of the two India-specific features the PlaceOptimizer Starter tier includes by default, alongside the diff-and-apply CSV import, and it stops being a nice-to-have the moment your brand spans tier-2 and tier-3 markets where the standard Google locality field is too coarse to be useful. Primary category Primary category is the single Google Places category that Google uses to match your listing to the most relevant local searches, and it is the one field where getting it wrong is the most common reason a listing ranks for nothing. A bedroom-furniture brand with `furniture_store` as its primary category will be matched to furniture queries; the same brand with `home_goods_store` as the primary category gets matched to a broader, less relevant intent set and ranks worse for the queries that actually convert. The audit checks primary category per location and across the estate, with a scope limitation today: the "generic primary category" check uses a mattress and furniture allowlist because PlaceOptimizer’s first design partners operate in that vertical, and the engine flags categories outside that allowlist for manual verification rather than scoring them. Covered playbook A covered playbook is the labelling convention PlaceOptimizer uses to mark a check as one the engine automates today, as opposed to a manual verification item or a roadmap feature. The glossary is not strictly a PlaceOptimizer term, but the seven-category audit separates every signal into automated, manual, and roadmap, and the published audit posts are written so that a brand can read the checklist and know exactly which checks fire automatically and which still need a human. The discipline matters because an audit tool that pretends everything is automated is lying to you; covered playbook is the term for the kind of honest inventory that earns the right to be trusted when the engine does claim a score, because the operator can see where the machine stops. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/compare/synup-alternative Home Synup alternative Comparison A Synup alternative, built for India. Global listing platforms cover a lot of ground. If your job is keeping every Google Business Profile healthy across Indian locations, PlaceOptimizer is a focused, India-first alternative — with per-location INR pricing, GST invoicing, and diff-and-apply CSV edits. Compare for yourself — run a free audit Why teams pick PlaceOptimizer Four reasons Indian multi-location brands choose us. India-first, not India-also. Built for the cities, categories, and multi-location brands operating across Indian metros — with a State → City → District → Taluk geo hierarchy, not a global platform with an India toggle. Priced per location, in INR. Transparent per-location, per-month plans in rupees with GST invoicing — instead of enterprise pricing quoted in USD and converted to your currency. Diff-and-apply CSV bulk edits. Export every location to a spreadsheet, edit in bulk, and preview an exact diff before anything is applied — so a 200-outlet change is reviewable, not a blind import. Honest by default. We score what the engine actually finds and show what it actually checks. No fabricated benchmarks, no invented customer logos, no inflated numbers. See what the listings audit checks, review per-location pricing , or run a free audit . Sources [1] Synup's pricing page, read 2026-07-26 FAQ Frequently asked questions Is PlaceOptimizer a full Synup replacement? PlaceOptimizer focuses on Google Business Profile listing health for multi-location brands in India — discovery, an audit checklist across seven categories, a 0–100 brand-health score, and diff-and-apply bulk edits. If that is the job you need done for the Indian market, it is a focused, India-first alternative. How does the pricing compare? Global listing platforms typically quote enterprise pricing in USD. PlaceOptimizer prices per location, per month, in INR, with GST invoicing built in — so the number you see is the number an Indian brand actually budgets against. What makes the CSV workflow different? Instead of a one-way bulk import, PlaceOptimizer shows a diff-and-apply preview: you see exactly which fields change on which locations before anything is written. For multi-location brands that is the difference between a safe bulk update and an irreversible one. How do I compare them for my brand? The fastest way is to run a free, scored PlaceOptimizer audit of your own listings and see the output for yourself — no card, capped scope, results in minutes. Glossary The terms behind a Google Business Profile audit. Bulk CSV diff-and-apply Bulk CSV diff-and-apply is the workflow PlaceOptimizer offers for editing many Google Business Profile listings at once without the risk of a blind bulk import. The flow is: export every location to a spreadsheet, edit the rows in bulk, import the edited spreadsheet back, and review a diff-and-apply preview that shows exactly which fields change on which locations before anything is written to Google. The preview step is the differentiator, because a 200-outlet change is a fundamentally different operation when you can see the diff than when it disappears into a one-way import. The mechanism is the flagship capability in PlaceOptimizer’s Starter tier, and it is the same shape any responsible multi-location tool should use; the price-per-location trap most multi-location software sets is not the per-location number itself, but the cost of a mistake when one is not reversible. Duplicate listing A duplicate listing is two or more Google Business Profile pins for the same physical storefront, and the failure mode is split signals: reviews, photos, ranking history, and Q&A all get divided across the two pins instead of compounding on one. The cost shows up three ways: ranking, because Google generally shows one listing per business per query and two weak pins compete for one slot; reviews, because twenty reviews on each of two pins reads as a 20-review business twice rather than a 40-review business once; and wrong-information risk, because the forgotten duplicate tends to carry stale hours, the wrong phone number, and the wrong address. PlaceOptimizer surfaces duplicates as candidates using a proximity-based detector — any two same-brand pins within one kilometre are flagged — and the word candidate is deliberate, because proximity is a strong signal, not proof, and the engine hands the shortlist to a human for verification before anything is merged. India geo hierarchy The India geo hierarchy is the State → City → District → Taluk administrative structure that Indian operations teams use to organise a multi-location estate, and it does not line up neatly with the address model Google Maps exposes. A tool that understands the four-level Indian hierarchy lets you filter, group, and report on your estate the way an Indian operations team actually thinks about it — by state, by city, by district, by taluk — rather than forcing every pin into a flat list. The hierarchy is one of the two India-specific features the PlaceOptimizer Starter tier includes by default, alongside the diff-and-apply CSV import, and it stops being a nice-to-have the moment your brand spans tier-2 and tier-3 markets where the standard Google locality field is too coarse to be useful. Cross-location consistency Cross-location consistency is the practice of comparing every Google Business Profile in your estate against every other one to find fragmentation on the four dimensions the audit automates: business name, primary category, website hostname, and phone-number format. Name drift — "Brand Name Baner" vs "Brand Name - Baner Pune" — is the most visible form, and it is exactly what Google’s naming guidelines discourage because extra keywords or locations that are not part of the real-world business name weaken the entity confidence Google applies to your pins. The consistency check is the one severe-category check that can only run by comparison; a single listing looks fine in isolation, but two listings with drifted names, drifted categories, or drifted websites expose the brand as multiple loosely-related businesses to Google’s matcher. The audit detects, a human fixes, and the brand maintains a locked source-of-truth sheet so future edits stay consistent. Multi-location estate A multi-location estate is the set of every Google Business Profile your brand operates across every city or market you serve, treated as one connected network rather than a collection of independent pins. The point at which a single brand becomes an estate is roughly five locations: at that scale, manual consistency checks stop working, because a wrong category in Pune, missing hours in Jaipur, and a duplicate in Surat cannot all be tracked by hand, and the structural relationships between listings — fragmented names, drifted categories, and proximity-based duplicate candidates — become the dominant signal that moves the brand’s overall visibility. The audit reads the estate as one graph: every listing is compared against every other on four consistency axes, and a proximity-based duplicate detector flags same-brand pins within one kilometre for human review. Keep exploring Listings Audit The audit engine at the core of PlaceOptimizer. Read more Pricing Per-location INR plans — no global-tool markup. Read more Free audit Compare for yourself — run a free scored audit. Read more The fastest comparison is your own audit. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/tools/google-review-link-generator Home Google review link generator Free tool Google review link generator. Paste a Place ID, get a link that drops customers straight into the review box — no search, no wrong branch, no sign-up. Runs in your browser · Nothing is sent to a server Google Place ID Generate review link How to find your Place ID 1 Open Google Maps and search for your business by name and city. 2 Click the listing so its panel opens on the left. 3 Copy the URL — the Place ID sits after "!1s" or "place_id:" in it, or use Google’s Place ID Finder tool. 4 Paste that value above and generate your review link. Open Google’s Place ID Finder What a Google review link actually is A Google review link is a direct URL that opens the "write a review" box for one specific Google Business Profile. Instead of asking a customer to search for you, find the right pin among lookalikes, scroll to reviews and tap "Write a review", the link drops them straight into the review form. Every extra step between a happy customer and the review box costs you reviews — the link removes all of them. How to use the generated link Once you have the link, put it where customers already are: a thank-you SMS after a purchase, the footer of an invoice or email receipt, a WhatsApp Business quick reply, or a small "Rate us on Google" card at the counter. For a physical store, turn the link into a QR code (any free QR generator works) and place it at the billing desk. The same link works on every device and never expires as long as the listing exists. Why review links matter for local SEO in India Google weighs review quantity, average rating and review recency when it ranks the local pack — the three-listing block that sits above the map for searches like "specialty retailer near me". For multi-location Indian brands, each location competes in its own city, so a steady flow of fresh reviews per outlet is what separates the top-three listings from the ones nobody scrolls to. A frictionless review link is the cheapest way to keep that flow moving across every location. This tool runs entirely in your browser Nothing you type is sent to a server. The generator takes your Place ID and builds the standard Google review URL locally, so there is no sign-up, no cost and no data leaving your device. It is the same review link Invarya embeds in the reports it produces for multi-location brands — now free for you to generate yourself. How to create and share a review link Turn a Google Place ID into a direct “write a review” link customers can tap, and put it where they already are — built entirely in your browser, no sign-up. 1 Find your Place ID Get the Place ID for the location from Google Maps or Google’s Place ID Finder — it is Google’s unique, opaque identifier for one specific Google Business Profile, so the link can never resolve to the wrong branch. 2 Generate the review link Paste the Place ID into the generator above; it builds the standard Google review URL — https://search.google.com/local/writereview?placeid=<your-place-id> — locally in your browser, with nothing sent to a server. 3 Copy the link Copy the generated link with one tap. It opens the “write a review” box for that exact listing and never expires as long as the listing exists. 4 Share it where customers are Put the link in a thank-you SMS, an invoice or email footer, a WhatsApp Business quick reply, or a “Rate us on Google” card — or turn it into a QR code for the billing desk. 5 Generate one link per location Each location has its own Place ID, so create one link per outlet — a per-location link routes every review to the right branch, which is what multi-location brands need for local ranking. FAQ Frequently asked questions Do I need a Google API key to use this? No. The tool builds the standard Google review URL from a Place ID you already have. There is no API call and no key required — it runs entirely in your browser. What is a Google Place ID? A Place ID is Google’s unique identifier for one specific location on Google Maps. It is a short, opaque token (often starting with "ChIJ") that points at exactly one Google Business Profile, so a link built from it can never resolve to the wrong branch. Will this link work for every location of my brand? Each location has its own Place ID, so generate one link per outlet. That is intentional — a per-location link routes each review to the right branch, which is exactly what multi-location brands need for local ranking. Is generating review links against Google’s policies? No. Sharing a direct link to your own review form is fine. What Google prohibits is incentivising, gating or faking reviews. Ask for honest feedback, make it easy to leave, and you are well within the rules. Keep exploring GBP audit checklist The checks behind the audit score, as a free checklist. Read more Free audit Reviews are one signal — score every category in a minute. Read more Listings Audit What the full per-location audit covers. Read more More reviews start with a healthy listing. Run a free, scored audit of every Google Business Profile — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/tools/gbp-audit-checklist Home GBP audit checklist Free tool The Google Business Profile audit checklist, across seven categories. Every row is labelled automated, manual, or roadmap — tick them off for one location, or run the automated checks across your whole brand in 60 seconds. Checklist progress 0 /34 0% complete · resets on refresh Automated today Predicates the audit engine evaluates on every location automatically, scored by severity. Basic information A phone number is set Critical Every profile has a contact number — an empty phone field is a critical trust and conversion gap. The phone number is a valid Indian format Critical Numbers read as a clean +91 XXXXX XXXXX, not a malformed or truncated string. A full street address is set Critical A complete address anchors the pin and the local-pack match — a missing address is critical. A website URL is linked Warning A website field feeds Google trust signals and gives searchers a next step. This checks the field is populated, not that the URL resolves. The description is at least 50 characters Info A real description — not an empty or one-line field — gives Google and searchers context. Business hours Business hours are set Critical A profile with no hours reads as unmaintained — this is a critical miss for a physical store. Hours are filled for all seven days Warning Every one of the seven weekdays carries hours, so "open now" filters surface you correctly. Ratings & reviews The star rating clears the health thresholds Critical One rating ladder, evaluated as mutually exclusive severity tiers: below 3.5 is critical, below 4.0 is a warning. A listing lands in exactly one tier. The review count clears the depth thresholds Warning One review-volume ladder, evaluated as mutually exclusive severity tiers: under 10 reviews is a warning, under 50 is an informational note. A listing lands in exactly one tier. Photos & media The photo count clears the coverage thresholds Critical One photo-count ladder, evaluated as mutually exclusive severity tiers: zero photos is critical, under 5 is a warning, under 10 is an informational note. A listing lands in exactly one tier. Categories & attributes The primary category is on the allowed list Warning The primary category matches a known specific category rather than a generic one. The allowlist is currently mattress- and furniture-specific (mattress_store, furniture_store, bed_shop), so this check is tuned to that vertical. At least one secondary category is set Info Secondary categories widen the queries you can rank for without diluting the primary match. Cross-location consistency The business name is identical across every location Warning Name variations across outlets confuse Google’s entity matching — every branch should read the same. The primary category is the same across locations Warning A brand whose outlets share one primary category presents a single, trustworthy entity. Locations point to a consistent website domain Info One canonical domain (with per-location pages) beats a scatter of different sites. Phone number formatting is consistent Info A uniform +91 prefix across every location avoids NAP-mismatch signals. Listing health & duplicates Every listing is marked operational Critical A profile flagged permanently closed is a critical loss — the engine flags each closed location. No listing looks abandoned Warning A profile with zero photos and almost no reviews reads as neglected and gets deprioritised. Duplicate-pin candidates within a kilometre are surfaced Warning The engine flags pairs of pins within ~1 km of each other as duplicate CANDIDATES for a human to confirm — it does not auto-merge or assert they are the same outlet. The overall brand health score is 80 or above Warning Every per-location signal rolls into one 0–100 score — 80+ is the healthy band local leaders sit in. Manual verification recommended Signals the engine does not check automatically today — worth verifying by hand for a complete picture. Basic information The listing resolves to the right city Confirm each pin sits in the city it should, so it competes in the correct local market. The engine does not verify city capture. The linked website actually resolves Open the website field and confirm it loads — the engine checks the field is filled, not that the URL is live. Business hours Holiday and special hours are current Check festival and holiday hours are set for each outlet. The engine only counts that seven weekdays are filled; it does not evaluate holiday hours. Hours reflect current, real opening times Confirm the posted hours still match the store on the ground — stale hours are not something the engine can detect. Ratings & reviews Reviews are still coming in recently Look at how recent the latest reviews are — a listing that stopped earning reviews signals neglect. The engine scores volume and rating, not recency. The owner is replying to reviews Check the share of reviews with an owner response, especially negative ones. The engine does not read a real owner-response rate. Photos & media Photos are recent and cover the essentials Confirm the gallery has fresh storefront, interior and product shots. The engine counts photos; it does not judge freshness or coverage mix. Categories & attributes Category matches what peers in the vertical use Compare each listing’s category against what similar businesses use. The engine matches a fixed allowlist, not a live category-median comparison across peers. Cross-location consistency Address structure follows one pattern across outlets Review whether addresses are formatted consistently brand-wide. The engine compares name, category, website and phone format across locations, but not address structure. Listing health & duplicates Confirm and merge the flagged duplicate candidates The engine surfaces nearby pins as duplicate candidates; a human still has to confirm which are truly the same outlet and merge them. Roadmap Planned automation — not yet part of the audit engine. Ratings & reviews Automated review-recency scoring Score how recently each listing has earned reviews, not just how many it has. Automated owner-response-rate tracking Measure the real share of reviews an owner has replied to, per location. Categories & attributes Vertical-aware category comparison Broaden category analysis beyond the current mattress/furniture allowlist to compare against live category medians per vertical. Photos & media Automated photo-freshness checks Detect stale galleries and missing coverage types automatically. How to run the GBP audit checklist yourself Work through the Google Business Profile audit checklist for one location by hand — tick off each category, note the severity of every miss, and see how the misses turn into one score. 1 Open the checklist for one location Pick a single Google Business Profile and work through the interactive checklist above, ticking each item off as you verify it — the tick state is per location and resets on refresh. 2 Work through the seven categories Cover all seven categories in order: basic information, business hours, ratings and review depth, photos, category accuracy, cross-location consistency, and listing health including duplicate pins. 3 Respect the automated / manual / roadmap labels Each row is labelled automated (the engine checks it today), manual (worth verifying by hand), or roadmap (planned) — do the manual and roadmap rows yourself, since the engine does not score them. 4 Weight each miss by severity Note the severity of every gap: a critical issue like a missing phone number costs the most, a warning like a thin photo gallery costs less, and an informational note the least. 5 Turn the misses into one score Start each location at 100, subtract for every miss by severity, and add extra deductions when names, categories or pins drift across outlets — the result is one Brand Health Score and a ranked fix list. How the automated checks turn into one score Each location starts at 100 and loses points for every automated miss, weighted by severity — a critical gap like a missing phone number or a permanently-closed flag costs the most, a warning like a thin photo gallery costs less, and an informational note the least. The per-location scores then roll into a single Brand Health Score, with extra deductions when names, categories or pins drift across your outlets. The result is one number the whole team can act on, and a ranked list of what to fix first. Why manual auditing stops working past a few locations Running this checklist by hand for one store takes a focused ten minutes. Running it for forty stores, every month, is a different job — and the cross-location checks (name drift, duplicate pins, category mismatch) are almost impossible to spot manually because they only appear when you compare listings side by side. That is exactly the gap the audit engine closes: it pulls every location Google shows for your brand, applies the automated checks, finds the cross-location issues, and scores the whole brand in about a minute. FAQ Frequently asked questions What does a Google Business Profile audit check? The checklist spans seven categories: basic information (name, address, phone, website, description), business hours, star rating and review depth, photo coverage, category accuracy, cross-location consistency, and listing health including duplicate pins. Each row is labelled automated (the engine checks it today), manual (worth verifying by hand), or roadmap (planned). How is the automated part scored? For the automated checks, PlaceOptimizer’s engine weights each miss by severity: a critical issue costs more than a warning, which costs more than an informational note. Every location gets a 0–100 score and the brand rolls up to a single Brand Health Score, with the top issues surfaced first. Can I run the automated checks instead? Yes. The free audit runs the automated checks across every location Google shows for your brand, scores each one, and returns a client-ready report in about a minute — no card required. The manual and roadmap rows are yours to verify by hand. Is this checklist specific to India? The signals Google uses are global, but the checklist is tuned for Indian multi-location brands — +91 phone formatting, per-city local-pack competition, and the categories Indian retail, QSR and healthcare chains actually use. Keep exploring Review link generator Turn a Place ID into a direct review link, free. Read more Free audit Run the automated checks in 60 seconds. Read more How it works Discover → Audit → Score → Report, in four steps. Read more Or run the automated checks in 60 seconds. The free audit applies the automated checks to every location and scores your whole brand — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/tools/cost-calculator Home Cost calculator Free tool What does multi-location GBP management cost in India? Enter your location count and compare published vendor prices side by side — in rupees. Only publicly-listed prices are computed; quote-only vendors are shown as exactly that. Prices observed June 2026 from each vendor's public pricing page. USD converted at ₹94.46/$ (approximate). Number of locations Billing Monthly Annual (2 months free) PlaceOptimizer plans are per location, per month, in INR (GST extra) — Starter for smaller networks, Growth above 25 locations. Monthly cost comparison for 25 locations Vendor Plan Est. monthly (25 loc) Source PlaceOptimizer Starter (₹650/loc) INR, GST extra — published at every band ₹16,250 Our own per-location pricing page Sekel Tech Basic (₹800/outlet) INR; Premium ₹1,500 and Enterprise ₹2,100 tiers above ₹20,000 Sekel Tech's published per-outlet pricing page Semrush Local 20+ locations: custom quote Not disclosed Semrush's Local product and pricing page BrightLocal Per-location price not readable from its public pricing page Not disclosed BrightLocal's pricing page (tiers raised 1 July 2026) SingleInterface Does not publish pricing Not disclosed SingleInterface's website, which lists no prices Partoo Does not publish pricing Not disclosed Partoo's pricing page, which discloses its model but not its rates Vendors marked "not disclosed" do not publish pricing anywhere public — the cost of a sales call is not in this table. Confirm every price on the linked source before signing. How to estimate your per-location cost Compare what multi-location Google Business Profile management costs in India — enter your location count, choose a billing cycle, and read published vendor prices side by side in rupees. 1 Enter your number of locations Type how many locations you run into the calculator; every price recomputes for that count, since these plans are priced per location. 2 Choose monthly or annual billing Switch between monthly and annual billing — annual bills for ten months, giving two months free — to see how the cycle changes the per-location cost. 3 Read the published prices in INR The table computes only from each vendor’s publicly-published price for your location count, in rupees, with USD prices converted at the locked rate and marked approximate. 4 Note the quote-only vendors Vendors that do not publish pricing show as “not disclosed” rather than an invented number — the cost of their sales call is not in the table. 5 Confirm on each linked source Follow the source link in each row to the vendor’s own pricing page and confirm the current price before you sign anything, since vendor prices change. FAQ Frequently asked questions Where do these prices come from? Every number is the vendor's own publicly-published price, observed June 2026, with the source linked in each row. Vendors that do not publish pricing are shown as quote-only — we never estimate a hidden price. USD prices are converted at ₹94.46/$ (rate locked June 2026) and marked approximate. Why do some vendors show "does not publish pricing"? Because they genuinely do not list a price anywhere public — pricing is behind a sales call. That opacity is part of the comparison: PlaceOptimizer publishes per-location INR pricing at every band, so you can budget without booking a demo. Is this calculator real-time? Calculations run entirely in your browser from a static pricing model. Vendor prices change — confirm on each linked pricing page before you sign anything. We refresh the model when vendors publish new prices. Keep exploring Pricing Per-location INR plans, published at every band. Read more Free audit Budget it, then prove it — run a free scored audit. Read more SingleInterface alternative Transparent INR pricing vs enterprise quote-only. Read more Budget it, then prove it. Run a free, scored audit of every listing — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog Blog Field notes on local search. Google Business Profile management for Indian multi-location brands — ranking signals, review operations, and audit playbooks. Latest The Brand Health Score methodology, fully disclosed Complete methodology for the PlaceOptimizer Brand Health Score: exact severity weights, per-listing and brand-level formulas, and a worked example. 21 Jul 2026 scoring methodology gbp transparency How proximity-based detection finds duplicate GBP listings at scale Why duplicate Google listings dilute rankings and split reviews, how proximity-based candidate detection works at scale, and the human check before you merge. 21 Jul 2026 duplicates listings multi-location gbp Name, category, website, phone: the four GBP consistency checks How name, category, website and phone consistency fragments across a multi-location GBP estate, what the engine detects for each, and why fixes stay manual. 21 Jul 2026 consistency gbp multi-location nap What multi-location GBP software costs in India (with sources) A sourced look at multi-location GBP management pricing in India: INR vs USD, per-location traps, GST invoicing, and where PlaceOptimizer sits. 21 Jul 2026 pricing gbp multi-location india What the PlaceOptimizer audit actually checks today An honest breakdown of every automated check in the PlaceOptimizer GBP audit across seven categories, plus what still needs manual verification. 21 Jul 2026 audit gbp transparency multi-location Why some city audits return no data (and what that does not mean) Some PlaceOptimizer audits return sparse or no data in certain Indian cities. Here is why it happens, what it means, and the safe next steps. 21 Jul 2026 audit data-providers india transparency How to audit a Google Business Profile: the seven-category method The seven-category method behind PlaceOptimizer: what to check across basic info, hours, reviews, photos, categories and cross-location consistency. 6 Jul 2026 audit gbp playbook Do Google reviews move local rankings in India? What the data says Review count, rating, recency and response rate are local-pack prominence signals. How each works, the thresholds in Indian metros, and a per-location playbook. 28 Jun 2026 reviews local-seo india Duplicate Google listings split your reviews, rankings and revenue How duplicate Google Business Profile pins happen across multi-location estates, why they split reviews and rankings, and how to find and merge them safely. 20 Jun 2026 duplicates listings multi-location See these checks run on your own brand. A free, scored audit of every Google Business Profile — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/brand-health-score-methodology Home Blog The Brand Health Score methodology, fully disclosed The Brand Health Score methodology, fully disclosed Complete methodology for the PlaceOptimizer Brand Health Score: exact severity weights, per-listing and brand-level formulas, and a worked example. Vinayak Kulkarni · 21 Jul 2026 scoring methodology gbp transparency This post is a complete, no-secrets explanation of how the PlaceOptimizer Brand Health Score is calculated: the exact point weights per severity, the per-listing formula, the brand-level deductions, and one worked example computed step by step. If a scoring model is going to influence how you prioritise fixes across dozens of stores, you deserve to see the whole formula, not a marketing number. So here it is. Before anything else, one statement we want impossible to miss: the Brand Health Score is a PlaceOptimizer diagnostic metric. It is not a Google metric, not a Google ranking factor, and Google does not endorse it or recognise it in any way. It is our internal way of summarising audit findings into something a marketing lead can track month over month. Google's actual local ranking is driven by relevance, distance, and prominence ( Improve your local ranking on Google , accessed July 2026), and no third-party score changes that. The two-level model The score is built in two stages. First, each listing gets a per-listing score from 0 to 100. Second, those listing scores are averaged into a brand number, and brand-level deductions are applied for problems that only exist across the estate. Both stages are deterministic — the same inputs always produce the same score. Per-listing scoring Every listing starts at 100 and loses points for each issue the audit raises, weighted by that issue's severity: Severity Points deducted per issue Critical 15 Warning 7 Info 2 The formula is: listing score = 100 − (15 × critical count) − (7 × warning count) − (2 × info count) The result is floored at 0, so a badly broken listing lands at 0 rather than going negative. What counts as Critical, Warning, and Info The severities come from the audit itself, applied to the fields Google exposes through its Place Details reference for the Places API (New) (accessed July 2026), such as rating, review count, opening hours, place types, and business status. Missing phone, missing address, no business hours, a rating below 3.5 stars, zero photos, and a permanently-closed flag are Critical . A missing website, hours set for fewer than seven days, a rating between 3.5 and 4.0, fewer than 10 reviews, and a thin photo gallery are Warning . A short description, a low-but-not-tiny review count, missing secondary categories, and website- or phone-format drift are Info . The full list, organised by the seven audit categories, is in our companion post on what the audit checks today . One mechanic is worth repeating because it affects the arithmetic: the rating, review-count, and photo-count checks are severity ladders . Each ladder contributes at most one issue. A listing with a 3.2-star rating trips the Critical rating tier and nothing else from the rating ladder — it does not also get charged the Warning tier. This keeps a single weak signal from being double- or triple-counted. A worked per-listing example Consider one listing with a valid phone and address, but with these issues: Website missing → Warning (−7) Description only 20 characters → Info (−2) Hours set for 5 of 7 days → Warning (−7) Rating 3.8 stars → Warning, the 3.5-to-4.0 tier (−7) 32 reviews → Info, the 10-to-50 tier (−2) Unanswered-review risk (3.8 stars with only 32 reviews) → Info (−2) 6 photos → Info, the fewer-than-10 tier (−2) That is 3 Warnings and 4 Info issues, with the primary category correct and the listing operational. score = 100 − (7 × 3) − (2 × 4) = 100 − 21 − 8 = 71 This listing scores 71 . Notice that the 3.8-star rating produced exactly one rating-ladder issue (the Warning), not two, because ladders fire a single tier. Brand-level scoring Once every listing has a score, the brand number is built like this: Average the listing scores and round to the nearest whole number. This is the brand base. Apply brand-level deductions for estate-wide problems: Brand-level problem Deduction Business-name fragmentation across locations −10 Primary-category inconsistency across locations −5 Duplicate candidates detected −5 Low average rating across the estate −10 Clamp the result to the 0–100 range. These deductions exist because some damage is invisible at the single-listing level. A store can score a healthy 85 on its own and still be one of four differently-named pins for the same brand — a fragmentation problem you only see when you compare listings. The duplicate-candidate deduction is driven by the proximity detector described in our audit post; because those are candidates and not confirmed duplicates, the penalty is a modest −5, a nudge to investigate rather than a verdict. A worked brand example Take a ten-location brand whose individual listing scores are: 82, 78, 88, 71, 64, 90, 76, 83, 69, 79 Their sum is 780, so the average is 780 ÷ 10 = 78.0 , which rounds to 78 . That is the brand base. Now suppose the audit found two estate-wide problems: the business name appears in several drifted variations across the ten pins (name fragmentation), and the proximity detector surfaced one duplicate-candidate cluster. Categories were consistent and the estate's average rating was healthy, so those two deductions do not apply. brand score = 78 − 10 (name fragmentation) − 5 (duplicate candidates) = 63 The brand scores 63 . Two clearly-motivated deductions took a middling-but-not-terrible base down into "needs attention" territory, which is exactly the signal a marketing lead wants: the individual stores are mostly fine, but the estate has structural consistency problems worth a cleanup project. Why these particular weights The weights encode a priority order, not a scientific constant. A Critical issue costs roughly twice a Warning and more than seven times an Info because a missing phone number genuinely hurts a customer more than a thin description does. The low-average-rating deduction exists because reviews are a genuine prominence signal: Google states that review count and score factor into local ranking ( Improve your local ranking on Google , accessed July 2026), which is why an estate skewed toward sub-3.5-star pins loses brand points. The brand deductions are heavier for problems that compound across an estate (name fragmentation at −10) and lighter for problems that are candidates awaiting confirmation (duplicates at −5). We tuned these to make the ranked issue list actionable, and we may adjust them as we learn from more estates — which is another reason to treat the number as a directional diagnostic rather than an absolute grade. If you want the mechanics behind how much review count really moves rankings in Indian metros, we cover it in do Google reviews move local rankings in India . Limitations, stated plainly A single number always loses information, and this one is no exception. A few things to keep in mind: Small estates behave differently. The name-fragmentation deduction compares the count of distinct names against a fraction of the total location count. On a very small estate this threshold is sensitive, so a two- or three-store brand can trigger the deduction more readily than a large one. Read the underlying consistency finding, not just the score, when your estate is small. The score reflects automated checks only. It does not know whether your reviews are answered, whether your photos are fresh, or whether a flagged category is actually wrong for a non-furniture vertical. Those are the "manual verification recommended" items from the audit, and none of them move the score today. Duplicate candidates are candidates. The −5 duplicate deduction fires on proximity, not on a confirmed duplicate. A human should verify before any merge. It is not comparable across brands as a league table. Two brands with the same score can have very different underlying problems. Use the score to track one brand over time, not to rank unrelated brands against each other. And, once more because it matters: this is a PlaceOptimizer diagnostic. Google neither produces nor endorses it, and improving it is not the same as improving your Google ranking, though the two tend to move together because both reward complete, consistent, well-maintained listings. Frequently asked questions Is the Brand Health Score a Google ranking predictor? No. It is a PlaceOptimizer diagnostic that summarises our own audit findings into one number. Google does not produce, recognise, or endorse it, and it does not predict where you rank in the local pack. Google's actual ranking runs on relevance, distance, and prominence. Use our score to track one brand's listing quality over time, not to forecast rankings. Why did my score drop when nothing changed on my listings? The most common cause is a brand-level deduction firing on a comparison, not on a single listing. If a new pin was discovered with a drifted name, or the proximity detector surfaced a duplicate candidate, the estate-wide checks trigger even though each individual listing looks unchanged. Read the underlying consistency and duplicate findings, not just the headline number. Can two brands with the same score be compared? Not as a league table. Two brands can both score 63 for entirely different reasons, one from low ratings, another from name fragmentation. The score compresses a ranked issue list into a single figure, so always read the issues beneath it. It is built to track a single brand month over month, not to rank unrelated brands. Does a perfect 100 mean my listings are flawless? No. A 100 means your public data passes every automated check. It does not certify that your reviews are answered, your photos are fresh, or your holiday hours are correct, because those are manual verification items the score does not measure. See what the audit checks today for the full automated-versus-manual split, and how the audit runs for the end-to-end flow. If you want to see the checks that feed this score, read what the audit checks today or run the free audit on your own estate. To verify findings by hand, the GBP audit checklist walks the same seven categories in order. If your audit came back thin for a city, why some city audits return no data explains why the score sometimes has nothing to compute. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/duplicate-listing-detection-at-scale Home Blog How proximity-based detection finds duplicate GBP listings at scale How proximity-based detection finds duplicate GBP listings at scale Why duplicate Google listings dilute rankings and split reviews, how proximity-based candidate detection works at scale, and the human check before you merge. Vinayak Kulkarni · 21 Jul 2026 duplicates listings multi-location gbp A duplicate Google Business Profile listing is two or more pins for the same physical storefront. Across a large multi-location estate, duplicates are not a cosmetic problem, they are a structural leak. Every signal that should compound on one pin, reviews, photos, ranking history, gets split across two. This post explains why that hurts, how our engine surfaces duplicate candidates using proximity at scale, why a candidate is never a confirmation, and the exact human workflow you run before anyone touches Google. Why duplicate listings hurt a multi-location brand Google is explicit that you should not create more than one profile for the same business, and it provides a manual review process for removing duplicates rather than an automatic one ( Google's help article on removing duplicate listings , accessed July 2026). The reason it matters so much for chains comes down to three compounding costs. Ranking dilution Google generally shows one listing per business per query. When two pins exist for the same store, they compete for the same slot, and the algorithm may surface the weaker one, the pin with stale hours, no owner responses, and no recent photos. Instead of one strong listing accumulating prominence, you have two half-strength listings splitting it. Google's local ranking guidance ties visibility to relevance, distance, and prominence, and notes that complete, accurate information helps Google match a business to the right searches ( Improve your local ranking on Google , accessed July 2026). A duplicate fragments exactly the completeness signal you are trying to build. Review splitting Reviews are one of the clearest prominence signals a customer sees. Twenty reviews on each of two pins reads as a twenty-review business shown twice, not a forty-review business shown once. Since both review count and recency feed prominence, both pins rank worse than the merged listing would. Worse, a customer who wants to leave a review might land on whichever pin they found first, so your review growth itself gets scattered across duplicates you did not know existed. Wrong-information risk The pin you actively manage has the correct hours, the current phone number, and the right address. The forgotten duplicate does not. A customer who finds the stale pin gets sent to the wrong door or calls a disconnected number, and that failure attaches to your brand, not to the abandoned listing. For a multi-location brand, the duplicate you never noticed is the one quietly costing you walk-ins. How proximity-based candidate detection works at scale Finding duplicates by hand means searching every store name plus its locality, eyeballing the map, and repeating that for every location. Ten minutes per store, error-prone, and blind to pins whose names have drifted. That does not survive at forty or four hundred locations. Our engine takes a different approach. It pulls every listing Google returns for your brand, then compares each listing against every other in the set. The primary signal is geographic proximity. For any two listings that both carry coordinates, the engine computes the great-circle distance between their pins using the haversine formula. If two same-brand pins sit within one kilometre of each other, the pair is surfaced as a duplicate candidate. When the pins overlap almost exactly, under fifty metres apart, the engine notes that the pins effectively coincide; otherwise it reports the measured distance, so a reviewer sees "same location (pins overlap)" or "420 m apart" rather than an opaque flag. There is a fallback for listings that arrive without coordinates. When geometry is missing on both listings in a pair, the engine normalises each formatted address, lowercasing, stripping punctuation, and collapsing whitespace, and flags the pair only when the two normalised addresses are identical. That fallback is deliberately strict, because address text without coordinates is a much noisier signal than a measured distance. The important architectural fact: the engine detects and surfaces. It does not merge listings, it does not delete anything, and it does not report duplicates to Google on your behalf. It produces a shortlist of candidate pairs for a human to review. That boundary is not a limitation we are apologising for; it is the correct design. Merging is irreversible and consequential, and it belongs in human hands. Why a candidate is never a confirmation This is the part most tools get wrong, so read it carefully. Proximity is a strong signal, not proof. A one-kilometre radius will catch real duplicates, and it will also catch genuinely separate stores that happen to sit close together. False positives are expected, and pretending otherwise would be dishonest. Here are the scenarios that trip proximity detection legitimately. Two real branches in a dense market In a high-street shopping district or a dense urban market, a brand might genuinely operate two nearby outlets, one at each end of a busy road, or one in a residential cluster and another by the transit hub eight hundred metres away. Both are real, both should exist, and both will land inside the one-kilometre radius. The engine flags them because it cannot know they are distinct; only a human who knows the estate can. Mall unit plus street storefront A brand with a kiosk inside a shopping mall and a full store on the street outside the same mall will show two pins a few hundred metres apart. These are two real, separately operating locations that share a neighbourhood. Proximity flags them as a candidate; verification clears them. A relocation mid-flight When a store has just moved and both the old and new pins are briefly live, proximity will catch the pair, and in this case the flag is genuinely useful, because one of the two should be retired. But the engine still cannot tell you which one, or whether the move is even complete. That judgement is yours. Because these scenarios are real and common, the engine's output is always framed as candidates. A confirmed duplicate is something only a human produces, after verification, never something the automated pass declares. The human verification workflow When the engine hands you a candidate pair, run it through this checklist before you touch Google. The goal is to turn a candidate into either a cleared pair or a verified duplicate with an evidence trail. Compare the addresses in full. Open both listings and read the complete formatted address, not just the locality. Different building names, different floor or unit numbers, or different plots on the same road usually mean two real locations. Compare the phone numbers. Two distinct working numbers that both ring the correct staff point to two real stores. The same number on both pins is a stronger duplicate signal, though not conclusive on its own. Inspect the storefront photos. Google's own imagery on each pin often settles it. Two different shopfronts, two different interiors, or two different signage boards mean two locations. Identical photos on both pins are a strong duplicate indicator. Call the store. The decisive step. Phone each pin's listed number and ask what and where they are. A single call frequently resolves in seconds what the data left ambiguous. Record the verdict. Note why the pair is a duplicate or why it is cleared, so the next quarterly re-audit does not re-litigate a pair you already decided. Only after this workflow confirms a true duplicate do you move to resolution. Resolving true duplicates through Google's own flows Once a human has confirmed a genuine duplicate, resolution happens entirely inside Google's tooling, using Google's manual review process. A few principles keep you safe. Never delete the older, review-rich pin. Reviews do not simply transfer on deletion, so amputating the wrong listing throws away history you cannot recover. The aim is to consolidate signals onto the strongest listing. For a duplicate you own inside Business Profile Manager, mark the redundant profile as a duplicate and let Google's review process handle the consolidation. For an unclaimed duplicate you do not manage, Google's guidance is to use the profile's own reporting flow to flag it for removal as a duplicate ( Google's help article on removing duplicate listings , accessed July 2026). Either way, the resolution is a request into Google's manual pipeline, not an instant action, so re-check after thirty days to confirm the merge or removal propagated. Honest limitations Proximity-based detection is a shortlisting tool, and it is genuinely valuable precisely because it turns an impossible manual scan into a short, reviewable list. But it has real edges you should know. It only catches pins Google returns for your brand in the first place; a duplicate under a wildly different name that the discovery step never associated with you can slip through. It relies on coordinates for its primary signal, falling back to strict address matching only when geometry is absent, so a duplicate with badly wrong coordinates and no address match is a blind spot. And, most importantly, it never confirms. Every pair it surfaces is a candidate that a human must verify. If a tool tells you it has found and merged your confirmed duplicates automatically, be sceptical, because Google itself does not merge duplicates automatically, and neither should your audit. Duplicate candidate detection is one part of a broader audit checklist that spans seven categories. If you want to see what else the engine checks and, just as importantly, where it hands off to human judgement, read our companion breakdown of what the audit actually checks today . And if you would rather just see the candidate list for your own estate, start with the free audit ; it runs the cross-location comparison across every listing Google shows for your brand in about a minute. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/gbp-name-category-website-phone-consistency Home Blog Name, category, website, phone: the four GBP consistency checks Name, category, website, phone: the four GBP consistency checks How name, category, website and phone consistency fragments across a multi-location GBP estate, what the engine detects for each, and why fixes stay manual. Vinayak Kulkarni · 21 Jul 2026 consistency gbp multi-location nap For a single store, the way your Google Business Profile spells your name barely matters. Across a multi-location estate it matters enormously, because Google is trying to understand that all your listings belong to one brand, and every inconsistency makes that harder. Our engine automates cross-location consistency on exactly four dimensions: business name, primary category, website, and phone number. This post explains why each one drifts, what the engine detects, why consistency feeds Google's confidence in your brand, and why the fix stays firmly in human hands. Why the four dimensions drift in the first place Consistency does not decay because anyone is careless. It decays because a multi-location estate has many hands touching many listings over many years. Four forces do most of the damage. Franchisee edits. A local franchise owner tweaks "their" listing to match how they think of the store, appending the locality to the name or picking a category that feels more specific to their outlet. Each edit is reasonable in isolation; collectively they fragment the set. Agency handoffs. When a brand switches marketing vendors, the new agency often bulk-creates or bulk-edits listings from a fresh spreadsheet, one with slightly different name formatting, a different tracking-parameter website, or a different phone-number style. The handoff itself introduces a fault line across the estate. Legacy listings. Older stores were often set up before any naming convention existed. They carry the formatting habits of whoever created them years ago, and nobody has gone back to normalise them against the current standard. Google suggested edits. Google's own suggestion pipeline, and edits from the public, can nudge a name or category without the brand initiating the change. You can wake up to a listing whose primary category shifted because Google inferred a different one. What the engine detects, dimension by dimension The engine compares every listing in your estate against every other on four axes. It is a detection tool: it surfaces fragmentation and mismatch across the location set, and it does not edit anything. 1. Business name The engine normalises each listing's name, lowercasing it, stripping common suffixes and filler tokens, removing punctuation, and collapsing whitespace, then groups the names by their normalised form. If more than one normalised group exists across the estate, it raises a Warning and lists the distinct variations it found. This is how it catches "Brand Baner" versus "Brand - Baner Pune" versus "Brand Store Baner": three surface spellings that should be one consistent brand name. The normalisation matters, because it lets the engine see through cosmetic differences to the real fragmentation underneath. 2. Primary category Each listing has a primary category, and across a brand it should be the same one. The engine collects the primary category from every listing, counts the distinct values, and if more than one primary category appears across the set, it raises a Warning and shows the differing categories. A mattress brand where some stores are mattress_store and others drifted to furniture_store is exactly the kind of split this surfaces. 3. Website The engine extracts the website from each listing and normalises it to its hostname, stripping the www. prefix so www.brand.com and brand.com are treated as one. It then counts distinct hostnames across the estate. More than one distinct website domain raises an Info flag with the list of differing domains. This catches the case where some listings point to the main brand domain and others point to a legacy microsite, a franchisee's own page, or a stale campaign URL. 4. Phone number The engine looks at phone-number formatting across the estate, specifically whether the Indian +91 country-code prefix is applied consistently. If some listings carry a +91 prefix and others do not, it raises an Info flag noting how many listings use each format. Consistent contact formatting is a small signal individually, but across a large set it contributes to how cleanly your brand's contact information reads. Those four are the complete set of automated cross-location consistency checks. There is no hidden fifth dimension. Address-structure consistency and how each listing captures its city are things a careful operator should review, but they are not part of the automated pass, so treat them as manual review items rather than something the engine flags for you. Why consistency matters The deepest reason is entity confidence. Google builds an understanding of your brand as an entity by reconciling all the signals it sees, and consistent name, category, and contact details across your listings make that reconciliation easy. Google's own guidance ties visibility to complete, accurate information that helps it match your business to the right searches ( Improve your local ranking on Google , accessed July 2026), and consistency is how you keep that information coherent across an estate. Inconsistent signals make Google work harder to decide whether your forty listings are one brand or several loosely related businesses, and uncertainty is never in your favour. Business name consistency is also a matter of following Google's rules, not just tidiness. Google requires your Business Profile name to be your real-world business name and warns against adding extra keywords, locations, or descriptors that are not part of your actual name ( Guidelines for representing your business on Google , accessed July 2026). "Brand - Baner Pune" as a profile name, when the real business name is simply "Brand", is exactly the kind of embellishment those guidelines discourage. So name consistency is doing double duty: it strengthens entity confidence and it keeps every listing inside Google's naming rules at the same time. Then there is plain brand recognition. A customer who sees a clean, identically named brand across every neighbourhood trusts it more than one whose listings each spell the name a little differently. Consistency reads as competence. Remediation is manual: the engine detects, humans fix This is the honest boundary, and it is the same boundary that runs through everything we build. The engine finds the inconsistency and hands you the specifics: which names diverged, which categories split, which domains conflict, which phone formats are mixed. It does not push a single edit to Google. That is deliberate. Fixing a name means deciding the canonical spelling and updating each off-standard listing to match, which is a brand decision, not a mechanical one. Fixing a category split means deciding the correct primary category for the whole estate, which requires knowing your business better than any allowlist does. Fixing a website drift means confirming which domain is truly canonical. Each of these is a judgement the engine should not make for you, and the correction happens in your Business Profile Manager, by a human, with the engine's report open beside them as the worklist. Practical prevention Detecting drift after it happens is useful, but preventing it is cheaper. Three habits keep an estate consistent. Write a naming convention document. Decide, once, exactly how the brand name appears on a listing, whether locality is ever appended, and how contact details are formatted. Circulate it to everyone who can edit a listing, franchisees included. Most name drift is people guessing in the absence of a stated rule. Run a quarterly audit. Consistency is not a one-time cleanup; suggested edits and new hands keep introducing drift. A scheduled quarterly pass catches fragmentation while it is small and cheap to fix, before it has spread across the estate. Keep a locked source-of-truth sheet. Maintain one authoritative record of every location's canonical name, category, website, and phone number, and treat any listing that deviates from it as a defect to be corrected. When an agency handoff or a franchisee edit introduces a change, the source of truth tells you instantly whether the change is sanctioned or drift. Honest limitations The engine automates exactly four consistency dimensions, and it is genuinely useful because those four are the ones no human can reliably compare by eye across a large estate. But be clear about the edges. It detects fragmentation; it does not decide which variant is correct, and it does not fix anything. It works on the listings Google returns for your brand, so a stray listing the discovery step missed is invisible to the consistency pass. And its four axes are the whole automated story, not a subset of some larger automated check: name, primary category, website, phone format. Anything beyond those, address structure, city capture, and the rest, is a manual review item, and we would rather tell you that than let you assume a check exists that does not. Cross-location consistency is one category within a broader audit checklist that spans seven categories, and it sits right alongside proximity-based duplicate detection, another cross-location signal you cannot run by hand at scale, which we cover in how duplicate detection works across an estate . If you want the full picture of what runs automatically and what stays manual, read what the audit actually checks today . And to see your own estate's consistency flags in about a minute, start with the free audit . Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/multi-location-gbp-software-pricing-india Home Blog What multi-location GBP software costs in India (with sources) What multi-location GBP software costs in India (with sources) A sourced look at multi-location GBP management pricing in India: INR vs USD, per-location traps, GST invoicing, and where PlaceOptimizer sits. Vinayak Kulkarni · 21 Jul 2026 pricing gbp multi-location india If you manage Google Business Profiles across ten, fifty, or two hundred locations in India, the pricing question is deceptively simple: what does the software actually cost per outlet, per month, and is that number visible before you talk to a salesperson? For a lot of the global platforms, the honest answer is "it depends, quoted in dollars, and you'll find out on a call." This post pulls together the pricing that vendors have already published, keeps every currency and billing cadence exactly as sourced, and shows where PlaceOptimizer's own tiers sit. No conversions, no guesses about numbers a vendor hasn't listed. One thing up front, stated plainly: PlaceOptimizer's management platform is in early access today. The tiers below are our published, indicative plans, offered to design partners while we validate them against real unit economics. What is live right now, for anyone, with no card, is the free audit . Keep that distinction in mind as you read. The published prices, side by side Here is every price we can point to a source for, drawn from vendor pricing pages as already cited on our comparison pages, plus PlaceOptimizer's own published tiers. Where a vendor doesn't list a public price, the table says so rather than inventing one. Vendor / tier Price (as sourced) Cadence Source Observed PlaceOptimizer Starter ₹650 per location / month, billed annually, +GST Published tiers, pricing indicative, July 2026 PlaceOptimizer Growth ₹1,250 per location / month, billed annually, +GST Published tiers, pricing indicative, July 2026 PlaceOptimizer Enterprise from ₹950 per location / month, +GST (volume) Published tiers, pricing indicative, July 2026 Semrush Local (Base) $30 per location / month semrush.com, via Semrush comparison June 2026 Semrush Local (Pro) $60 per location / month semrush.com, via Semrush comparison June 2026 Sekel Tech ~₹800–₹2,100 per outlet / month sekel.tech, via Sekel comparison June 2026 BrightLocal (Grow) ~$8.99 effective per location per location / month BrightLocal help center, via BrightLocal comparison June 2026 Partoo not publicly listed (quote-only per point of sale) — via Partoo comparison June 2026 A few honest caveats about the table. The Semrush Local figures are the Base and Pro tiers as publicly listed; brands with 20 or more locations move to a custom quote, so past that band there is no published number to cite. BrightLocal's roughly $8.99 effective per-location rate sits at its Grow tier, and 100-plus locations likewise move to custom pricing. Sekel Tech publishes a per-outlet INR range rather than a single figure. Partoo, despite having a Mumbai entity, doesn't publish an INR price list at all. We are not going to estimate any of the unlisted numbers, because a made-up price is worse than an honest "not listed." Why INR and GST invoicing actually matter It is easy to wave away currency as a cosmetic detail. It isn't, and here is the concrete reason. When a platform prices in USD, an Indian brand doesn't just pay a converted amount; it budgets against a moving exchange rate, pays in dollars, and reconciles foreign-exchange invoices at the end of the quarter. The number on the pricing page is not the number the finance team can plan around, because the rupee cost drifts every month. GST invoicing is the other half of this. An Indian business needs a tax-compliant invoice to claim input credit and to close its books cleanly, which is exactly what the official Goods and Services Tax portal of India exists to administer. Compliant invoices increasingly run through the government's official GST e-invoice system , and a foreign vendor billing in USD may not issue a GST invoice at all, which turns a routine software expense into a reconciliation headache. Pricing per location, per month, in INR, with GST built in, means the figure you see is the figure you budget, and the invoice you get is the one your accountant expects. That is the whole point of an India-first price list rather than a global suite with an India toggle. The per-location trap to check before you buy Most multi-location listing software prices per location, which sounds fair until you do the multiplication. At $30 per location per month, a 40-outlet brand is looking at $1,200 a month, roughly a six-figure annual rupee spend before GST and before any custom-tier uplift kicks in above the published band. The trap is not that per-location pricing is wrong; it's that the entry-tier number you see on the homepage is rarely the number a real estate of locations pays. So before you sign anything, get three things in writing: The price at your actual location count , not the entry band. If the published tier caps at 20 or 100 locations and you're above it, ask what the custom rate is before you commit, and ask whether it's still per-location or a flat platform fee. The billing cadence and lock-in. Annual billing is usually cheaper per month but commits you for a year. Monthly is flexible and pricier. Know which one the quoted number assumes; the two are not comparable. What's included per location versus what's an add-on. Rank tracking, AI review replies, and multi-platform sync are sometimes bundled and sometimes billed on top. A cheap base rate with expensive add-ons can cost more than a higher all-in tier. Two India-specific features worth paying for Beyond price, two capabilities separate software built for Indian multi-location brands from software that merely tolerates them. Bulk edit with diff-and-apply If you have fifty listings and Google's category taxonomy changes, or you rebrand, or you standardise store hours, editing them one at a time in the Google interface is a week of work and a guaranteed source of typos. Bulk CSV export and a diff-and-apply import , where you see exactly what will change before it changes, is the difference between a fifteen-minute update and a fortnight of manual edits. This is the flagship capability in PlaceOptimizer's Starter tier, and it's the first thing worth stress-testing in any demo, whoever's demo it is. India geo hierarchy Google's address model and India's administrative geography don't line up neatly. A tool that understands State → City → District → Taluk lets you filter, group, and report on your estate the way an Indian operations team actually thinks about it, rather than forcing everything into a flat list of pins. If your brand spans tier-2 and tier-3 markets, this stops being a nice-to-have. Where PlaceOptimizer sits Our published tiers are Starter at ₹650, Growth at ₹1,250, and Enterprise from ₹950 per location per month, all billed annually and exclusive of GST, all visible on the pricing page without a sales call. Starter covers multi-location listing management, the bulk CSV diff-and-apply import, the India geo hierarchy, review monitoring, and suspension alerts. Growth adds rank tracking, AI review replies including Hindi and regional languages, and multi-platform sync. Enterprise adds the brand-compliance engine, granular roles, and a public API. Being straight about maturity: those management tiers are early access, offered to design partners while we validate the pricing against real usage. We are not claiming the platform is generally available, and we are not showing you customer logos or "live locations" counts we don't have. What you can use today, at zero cost, is the audit. It applies our checklist across seven categories to every listing Google returns for your brand and hands back a ranked issue list in about a minute. That's the honest wedge: prove the value cheaply first, then decide whether the platform is worth a per-location commitment. How to actually compare The fastest, most honest comparison isn't a spreadsheet of feature checkmarks; it's running the free audit on your own brand and seeing the output, then putting the published prices above next to your real location count and doing the multiplication yourself. If a vendor won't show you a per-location number for your actual estate size before a call, that's information too. Start with the free audit to see the engine on your own listings, then read what the audit actually checks today so you know exactly what the score does and doesn't certify. The prices above are sourced and dated; the audit is live and free. Both are meant to let you decide with real information rather than a sales pitch. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/what-placeoptimizer-audit-checks-today Home Blog What the PlaceOptimizer audit actually checks today What the PlaceOptimizer audit actually checks today An honest breakdown of every automated check in the PlaceOptimizer GBP audit across seven categories, plus what still needs manual verification. Vinayak Kulkarni · 21 Jul 2026 audit gbp transparency multi-location This post is a plain-language inventory of what our Google Business Profile audit engine automates right now, category by category, and an equally plain account of what it does not automate yet. We built PlaceOptimizer for multi-location Indian brands, and we would rather you know exactly where the machine stops and human judgement begins than oversell a black box. If you are evaluating our free audit , this is the ground truth behind the score you get back. We organise every check into an audit checklist across seven categories: Basic Information, Business Hours, Ratings & Reviews, Media, Categories & Attributes, Listing Health, and cross-location Consistency. Six of those run per listing; the seventh compares your listings against each other. Why an honest inventory matters A Google Business Profile is the front door to a local business. Google's own local ranking guidance names three factors, relevance, distance, and prominence, and states that complete, accurate information helps Google match your business to the right searches ( Improve your local ranking on Google , accessed July 2026). Distance you cannot change. Relevance and prominence are largely a function of listing quality, and listing quality is measurable. That is what an audit is for. The catch is that "measurable" and "automatable from public data" are not the same thing. Some quality signals are visible in the data Google returns through its Place Details reference for the Places API (New) (accessed July 2026), which exposes fields such as ratings, review counts, opening hours, and place types; others require a human to open the listing, read the reviews, and use judgement. An audit tool that pretends everything is automated is lying to you. Here is the real split. If you want the higher-level view of how our seven-category method maps to local ranking, the companion seven-category audit method walks through it, and how the audit runs end to end shows the flow from discovery to scored report. Category by category: what runs automatically 1. Basic Information For every listing we check the phone number, address, website, and description. A missing phone number or a missing address is flagged as Critical , because these are trust and contact essentials. A phone number that is present but malformed for Indian formats also flags Critical. A missing website is a Warning . A description shorter than 50 characters is an Info -level note, since a thin description is a soft signal rather than a hard failure. Automated today: phone presence and basic +91 format validity, address presence, website presence, description length. Manual verification recommended: whether the address components (building, street, locality) are structured the way Google prefers, and whether the website link actually resolves to a live page rather than a dead domain. 2. Business Hours We check that hours exist and cover all seven days. No hours at all is Critical — Google may show "Hours unknown," which suppresses the listing and frustrates customers. Hours set for fewer than seven days flag a Warning . Automated today: presence of an hours object, and whether all seven weekdays are populated. Manual verification recommended: holiday hours and special-hours overrides. Google supports special hours for holidays ( Edit your Business Profile hours , accessed July 2026), but a stale holiday override is not something we detect automatically yet. Check these by hand before major festivals. 3. Ratings & Reviews This is the category where the mechanics matter most, so read carefully. We run three severity ladders here, and a ladder fires at most one severity, not several: Rating ladder: a rating below 3.5 stars flags Critical ; a rating between 3.5 and 4.0 flags Warning . A listing cannot trip both — it lands on the worse-fitting tier only. Review-count ladder: fewer than 10 reviews flags Warning ; between 10 and 50 flags Info . Again, one tier fires. Unanswered-review-risk ladder: a low rating combined with a low review count raises a Warning or Info flag that you likely have negative reviews going unaddressed. The important honesty note: these are severity tiers on the same underlying number, not a stack of independent checks. If your rating is 3.2, you get the Critical tier and nothing more from that ladder. Automated today: star rating band, review-count band, and a heuristic flag for probable unanswered negative reviews. Manual verification recommended: actual owner-response rate, review recency (are reviews from this month or from 2023?), and the content of specific complaints. These need a human reading the review stream, so treat them as manual for now. 4. Media We check photo count with a single severity ladder: zero photos is Critical , fewer than 5 is a Warning , and fewer than 10 is an Info note. One tier fires per listing. Automated today: photo count against the thresholds above. Manual verification recommended: photo freshness . Google encourages regular photo updates ( Add photos or videos to your Business Profile , accessed July 2026), but whether your newest photo is 30 days or 3 years old is not part of the automated pass yet. 5. Categories & Attributes We flag two things: a primary category that looks too generic, and the absence of any secondary category (fewer than two categories total flags Info ). Be aware of an important scope limitation. The "generic primary category" check today uses a mattress and furniture allowlist — it recognises mattress_store , furniture_store , and bed_shop as correct primary categories. That is because our first design partners are in that vertical. If you run a restaurant chain or a clinic network, this specific check will not be meaningful for you yet, and we would tell you so on the call rather than let a false Warning mislead you. Broadening the category logic to other verticals is on the roadmap. Automated today: primary-category match against the mattress/furniture allowlist, and secondary-category presence. Manual verification recommended (or roadmap): category correctness for any non-furniture vertical, and comparison of your category choice against the category most of your competitors use. 6. Listing Health We flag a listing marked PERMANENTLY_CLOSED as Critical, and a listing that looks abandoned (zero photos and almost no reviews) as a Warning. Automated today: permanently-closed status, and an abandonment heuristic. Manual verification recommended: suspension risk and edit-conflict history, which are not exposed in the public data. 7. Cross-location Consistency This is the seventh category and the one you genuinely cannot run by hand across a large estate. We compare every listing against every other on four axes: business name, primary category, website domain, and phone-number format. Name drift ("Brand Baner" vs "Brand - Baner Pune") flags a Warning; category drift flags a Warning; website and phone-format drift flag Info. Alongside consistency, the engine runs a proximity-based duplicate-candidate detector . If two pins for your brand sit within one kilometre of each other, we surface them as candidates for review. We say candidates deliberately: proximity is a strong signal, not proof. Two genuinely separate stores in a dense market can sit close together, so a human confirms before anyone merges anything. Google's duplicate handling is a manual, review-based process ( Google's help article on removing duplicate listings , accessed July 2026), and our job is to hand you the shortlist, not to declare verdicts. What a result does and does not tell you A PlaceOptimizer result tells you, per listing and per brand, where your public GBP data falls short of a sensible quality bar, ranked by severity so operations knows what to fix first. It is fast, repeatable, and consistent across every location — which is its whole advantage over a manual eyeball pass. What it does not tell you: it is not a live-ranking checker, not a review-sentiment reader, and not a substitute for opening a flagged listing and looking. A clean score means your data passes the automated checks; it does not certify that every review is answered or every photo is current. Those are exactly the items we mark "manual verification recommended," and we mark them that way on purpose. If you want the checklist we run, in the same seven-category order, so your team can verify by hand, it is on the GBP audit checklist page. If you want to see how the individual severities roll up into a single number, read our companion post on the Brand Health Score methodology . And if you would rather just see your estate scored, start with the free audit — it applies every automated check above to each listing Google returns for your brand and gives you the ranked issue list in about a minute. Frequently asked questions Does the audit read whether I have replied to my reviews? No. The engine flags probable unanswered-review risk from a heuristic that combines your star rating and review count, but it does not read your actual review replies. Real owner-response rate is a manual verification item. This matters because response rate is one of the few prominence signals you control directly, so we would rather you check it by hand than trust a number the engine cannot compute. Why does the category check only recognise furniture and mattress stores? Because our first design partners are in that vertical, the "generic primary category" check today uses a mattress-and-furniture allowlist. If you run a restaurant, clinic, or automotive network, that specific check is not meaningful for you yet, and we will say so on the call rather than let a false Warning mislead you. Broadening category logic to other verticals is on the roadmap. Can the audit manage or edit my listings? Not today. The audit is read-only: it scores the public data Google returns for your brand. Listing management (bulk edits, CSV import, review replies) is in early access, not part of the live audit. We keep the two clearly separated so nobody mistakes a diagnostic for a write action. How does this differ from a duplicate check or a consistency check? Those are two of the seven categories, and each has its own deep-dive. Cross-location name, category, website, and phone consistency is covered in the four consistency dimensions , and proximity-based duplicate detection is covered in duplicate detection across an estate and why duplicate listings split your rankings . Review signals get their own treatment in do Google reviews move local rankings in India . If you want to see where a city returns nothing, why some city audits return no data explains the provider-coverage mechanics. Honesty is the product here. The audit is genuinely useful precisely because we are clear about where it stops. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/why-some-city-audits-return-no-data Home Blog Why some city audits return no data (and what that does not mean) Why some city audits return no data (and what that does not mean) Some PlaceOptimizer audits return sparse or no data in certain Indian cities. Here is why it happens, what it means, and the safe next steps. Vinayak Kulkarni · 21 Jul 2026 audit data-providers india transparency Sometimes you run a PlaceOptimizer audit for a brand in a particular city and the result comes back empty or thin. Before you draw any conclusion from that, read this: a no-data result is almost always a data-provider coverage limitation , not a verdict on your business. It does not mean your listings don't exist, and it does not mean they're unhealthy. This post explains, in plain terms, how the audit gathers data, why coverage varies by city, and exactly what to do when a result comes back sparse. We've observed this most in a handful of markets, Ahmedabad, Kanpur, and Indore among them, where audits can return sparse or no data even for brands that clearly have a strong local presence. That's a limitation of the data we can pull for those cities, and being upfront about it is more useful to you than pretending every market has equal coverage. How the audit gathers data (the short version) PlaceOptimizer does not have a private pipe into Google. The audit works by querying a mix of Google's own Places API (New) web service (accessed July 2026) and third-party search-data providers such as SerpAPI and DataForSEO Maps, which maintain their own indexes of what appears in Google Search and Maps results. When you run an audit, the engine asks those sources for the listings that surface for your brand in a given area, then applies our checklist across seven categories to whatever comes back. That architecture is a deliberate, honest constraint. We audit the public, search-visible picture of your listings using data sources that specialise in collecting exactly that data. It's the same approach any responsible audit tool uses, because Google's own Business Profile management API is gated behind an access-request process ( Business Profile APIs: Basic setup , accessed July 2026) and doesn't exist to power outside-in audits of listings you don't own. The upside is that we can score any brand's public presence quickly. The trade-off is that our view is only as complete as the provider's index for that place. If you want to see how that flow runs from discovery to scored report, how the audit works walks it end to end, and what the audit checks today lists every check applied to whatever the providers return. Why coverage gaps happen Search-data providers don't crawl every city with equal depth. A few reasons a market can be thin: Index depth varies by market. A provider's index is richer for high-query, high-competition metros and shallower for markets it crawls less often. Some Indian cities simply have less-complete coverage in the underlying index at any given moment. Query volume shapes crawl frequency. Places with heavy local-search demand get refreshed more often. Smaller or lower-volume markets are crawled less frequently, so recent changes, or entire listings, may not yet be reflected. Coverage shifts over time. An index is a snapshot, not a live mirror. A city that's sparse today can fill in later as the provider re-crawls, which is why re-running an audit after some time sometimes returns more. None of these are Google's doing, and none of them are your business's doing. They're properties of the third-party index the audit reads from. That's the honest frame. One thing we rule out first: an exhausted balance There's a second reason an audit could look empty that has nothing to do with city coverage, and we deliberately make it distinguishable. The search-data providers we query are metered: some are prepaid and run down a balance, others are postpaid and accrue spend. If a provider's balance is exhausted, an audit can come back empty simply because the query never ran, not because the city lacks coverage. That's a very different failure from a genuine coverage gap, and conflating the two would mislead you. So the engine surfaces each provider's billing state alongside results, prepaid balance remaining for the prepaid providers, accrued spend for the postpaid one, precisely so an empty audit reads as "balance exhausted, top up and re-run" rather than "no data in this market." When you see a genuine no-data result for a city like Ahmedabad, Kanpur, or Indore, it's after that balance check has already ruled out the boring explanation. The gap is coverage, not credits. What a no-data result means, and what it does not This is the part worth being precise about, because it's easy to misread an empty result. What a sparse or no-data result can mean: the search-data provider's index for that city doesn't currently surface enough of your listings for the engine to audit. That's it. It's a statement about provider coverage at the moment you ran the audit. What it does not mean: It does not mean your business has no Google listings. Your listings can be perfectly present and visible in Google Maps and Search while the third-party index we query hasn't captured them. It does not mean your listings are unhealthy. We can't score what the provider didn't return, so "no data" is the absence of a measurement, not a failing grade. It does not mean anything is wrong on Google's side or yours. It's a gap in the intermediary index, nothing more. Treat a no-data result as "we couldn't see enough here to score it," never as "there's nothing here" or "this is broken." Safe next steps when a result is sparse If an audit comes back empty or thin for a city, here's a sensible sequence: Verify manually in Google Maps or Search. Search your brand plus the city in Google Maps. If your pins show up there, your listings exist and are visible to customers, full stop, regardless of what the audit returned. As long as your profile is complete and verified, Google can show it to customers ( Verify your Business Profile , accessed July 2026), independent of any third-party index. This is the fastest way to confirm the gap is in the provider index, not in your presence. Re-run the audit later. Because provider coverage shifts as indexes re-crawl, a market that's sparse today may return data on a later run. If a specific city matters to you, try again after some time. Start with the brand's biggest cities. If you're evaluating the audit for the first time, run it on the metros where your brand is strongest and most-searched. Those markets tend to have the deepest provider coverage, so you'll get the fullest picture of what the engine does before testing it against thinner markets. Tell us about the gap. If a city you care about keeps coming back empty, get in touch and let us know which market. Knowing which cities matter to real brands helps us prioritise how we handle coverage gaps. Why we tell you this instead of hiding it An audit tool could quietly return an empty result and let you assume the worst, or assume nothing at all. We'd rather you understand the mechanism, because the whole point of the free audit is that you can trust what it tells you, including its limits. An empty result in Ahmedabad, Kanpur, or Indore is a known coverage gap, not a signal about your listings, and you deserve to know the difference. This is the same principle behind what the audit actually checks today : the tool is genuinely useful precisely because we're clear about where it stops. It scores what the providers surface, across seven categories, ranked by severity. When the providers surface little for a given city, we say so plainly rather than dress up an absence as a finding. Frequently asked questions Does a no-data result mean my Google listings don't exist? No. It almost always means the search-data provider's index for that city didn't surface enough of your listings for the engine to audit at the moment you ran it. Your pins can be perfectly live and visible in Google Maps while the intermediary index we query hasn't captured them. The fastest confirmation is to search your brand plus the city in Google Maps yourself. Which cities are affected? We've observed sparse or no-data results most in a handful of Indian markets, parts of Ahmedabad, Kanpur, and Indore among them, even for brands with a clear local presence. Coverage is not fixed: an index is a snapshot, so a city that's thin today can fill in on a later re-crawl. We'd rather name the known gaps than pretend every market has equal depth. How do I know it's a coverage gap and not an exhausted provider balance? The engine surfaces each provider's billing state alongside results, prepaid balance remaining for the metered providers and accrued spend for the postpaid one, precisely so an empty audit reads as "top up and re-run" rather than "no data here." When you see a genuine no-data result, it's after that balance check has already ruled out the boring explanation. What should I do when a city comes back empty? Verify in Google Maps first, then re-run the audit later since coverage shifts as indexes re-crawl. Start with your brand's biggest, most-searched metros, which have the deepest coverage, before testing thinner markets. If a city you care about keeps coming up empty, tell us. You can also verify a specific listing by hand using the GBP audit checklist , read what the audit checks today to see what a full result would contain, or review the Brand Health Score methodology to understand what the engine computes when data is present. For deeper context, duplicate listings across multi-location estates and do Google reviews move local rankings in India both assume a populated audit, which is exactly what a coverage gap withholds. So if your audit comes back thin for a particular market, check Google Maps to confirm your listings are live, re-run later, and reach out if a city that matters keeps coming up empty. A coverage gap is a limitation of the data we can read, never a judgement on the presence or health of your business. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/google-business-profile-audit-guide Home Blog How to audit a Google Business Profile: the seven-category method How to audit a Google Business Profile: the seven-category method The seven-category method behind PlaceOptimizer: what to check across basic info, hours, reviews, photos, categories and cross-location consistency. Vinayak Kulkarni · 6 Jul 2026 · updated 21 Jul 2026 audit gbp playbook Most Google Business Profile "audits" are a screenshot and a gut feeling. That does not scale past one store, and it misses the issues that actually move local-pack rankings. This is the method we run in production for multi-location Indian brands: an audit checklist across seven categories, each tied to a visibility or conversion outcome, with some checks fully automated and others flagged for manual review. Why audits matter for the local pack Google's local ranking guidance names three factors, relevance, distance, and prominence, and states that complete, accurate information helps Google match your business to the right searches ( Improve your local ranking on Google , accessed July 2026). You cannot move distance, but relevance and prominence are largely a function of listing quality: complete data, accurate categories, healthy review velocity, and consistency across your locations. Google encourages businesses to keep their profile complete and up to date, because a complete profile is easier to match with the right searches and gives customers the information they need to choose you ( Improve your Business Profile on Google , accessed July 2026). For a forty-store chain, an unmanaged listing estate quietly leaks customers in every city. The seven categories we check We organise the checklist into seven categories. Six run per listing; the seventh compares your listings against each other. Under each, we are explicit about what our engine automates today and what still needs a human, because an audit tool that pretends everything is automated is not being straight with you. 1. Basic information Phone number present and in valid +91 format, full street address, website URL, and a description of at least 50 characters. A missing phone number is a critical trust gap, since customers calling ahead is still the dominant pre-visit behaviour in Indian retail. Automated: phone presence and +91 format, address presence, website presence, description length. Manual: whether the address components are structured the way Google prefers, and whether the website link resolves to a live page. 2. Business hours Hours set for all seven days, and no stale holiday overrides. "Hours unknown" listings get demoted in the local pack, and wrong hours generate the angriest review category there is: the customer who travelled to a closed door. Automated: presence of hours and whether all seven days are populated. Manual: holiday and special-hours overrides, which Google supports ( Edit your Business Profile hours , accessed July 2026) but a stale override is not something we detect yet. 3. Ratings and reviews Automated: the engine reads the two signals in the data Google returns, star rating and review count , each as a severity ladder that fires at most one tier (a sub-3.5 rating is Critical, 3.5 to 4.0 is Warning; fewer than 10 reviews is Warning, 10 to 50 is Info), plus a heuristic flag for probable unanswered negative reviews. Manual: star rating versus category median, review recency, and owner response rate. Those are among the strongest prominence factors and response rate is one of the few you control directly, but reading them correctly needs a human in the review stream, so we mark them manual rather than pretend the score computes them. 4. Media At least ten photos per location, with fresh uploads. Listings with recent photos earn more clicks to the website and more direction requests. Automated: photo count against thresholds (zero is Critical, fewer than 5 Warning, fewer than 10 Info). Manual: photo freshness , which Google encourages you to keep current ( Add photos or videos to your Business Profile , accessed July 2026) but whether your newest photo is 30 days or 3 years old is not in the automated pass yet. 5. Categories and attributes Primary category matches what the location actually is, and secondary categories cover real services without spam. Wrong primary category is the single most common reason a listing ranks for nothing. Automated (with a scope limit): the "generic primary category" check today uses a mattress-and-furniture allowlist, because our first design partners are in that vertical, plus a secondary-category-presence check. Manual or roadmap: category correctness for any non-furniture vertical, and comparison against the category most competitors use. If you run a restaurant or clinic network, we would tell you on the call that this specific check is not meaningful for you yet rather than let a false Warning mislead you. 6. Listing health Automated: a listing marked PERMANENTLY_CLOSED flags Critical, and an abandonment heuristic (zero photos and almost no reviews) flags Warning. Manual: suspension risk and edit-conflict history, which are not exposed in the public data. 7. Cross-location consistency Name format drift ("Brand Name Baner" vs "Brand Name - Baner Pune"), category mismatch across the estate, and proximity-based duplicate candidates , all of which only surface when you compare listings side by side, which is exactly why manual audits miss them. Automated: four consistency axes (business name, primary category, website hostname, phone format) plus a proximity-based duplicate-candidate detector that surfaces same-brand pins within about a kilometre for human review. Manual: address-structure consistency, how each listing captures its city, and confirming any duplicate candidate before a merge. Because a candidate is never a confirmation, the detail lives in how duplicate detection works across an estate and the four consistency dimensions . Scoring: from checklist to one number Every location starts at 100 and loses points per issue the audit raises, weighted by severity: Critical costs the most, then Warning, then an Info note. Per-location scores roll up to a single Brand Health Score, with extra deductions for cross-location drift such as name fragmentation and duplicate candidates. One honesty note worth repeating: the rating, review-count, and photo-count checks are severity ladders, so each contributes at most one issue rather than stacking. The exact point weights, formulas, and a worked example are laid out in the Brand Health Score methodology . The point of one number is organisational, not technical: it gives the marketing lead something the whole team can track monthly, and the ranked issue list underneath tells operations exactly what to fix first. It is a PlaceOptimizer diagnostic, not a Google metric, and it reflects the automated checks only. An honest note on what this audit does and does not do The automated pass is fast, repeatable, and consistent across every location, which is its whole advantage over a manual eyeball. What it is not: a live-ranking checker, a review-sentiment reader, or a substitute for opening a flagged listing and looking. A clean score means your public data passes the automated checks; it does not certify that every review is answered or every photo is current. Those are the items we mark manual, on purpose. The full automated-versus-manual inventory is in what the audit actually checks today . Run it yourself You can run this checklist by hand with our free GBP audit checklist , budget about ten minutes per location. Or run the free automated audit , which applies every automated check above to each location Google shows for your brand and returns a scored report in about a minute. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/google-review-count-local-ranking-india Home Blog Do Google reviews move local rankings in India? What the data says Do Google reviews move local rankings in India? What the data says Review count, rating, recency and response rate are local-pack prominence signals. How each works, the thresholds in Indian metros, and a per-location playbook. Vinayak Kulkarni · 28 Jun 2026 · updated 21 Jul 2026 reviews local-seo india Every multi-location brand asks the same question: do we chase more reviews, better ratings, or faster responses? The answer from Google's documentation and every major local ranking study is: all four signals matter, but they are not equal. What Google actually says Google's local ranking help page is unusually direct: review count and review score factor into local search ranking, and complete, accurate information helps Google match your business to the right searches ( Improve your local ranking on Google , accessed July 2026). That is prominence in action: more reviews and positive ratings improve local ranking. Industry studies consistently place review signals among the top local-pack ranking factors, behind Google Business Profile signals themselves. The practically useful findings: Count is a threshold game. Moving from 8 reviews to 40 matters far more than moving from 200 to 400. The local pack shows count next to the stars; searchers use it as a proxy for "is this place real". Recency beats volume. A location with 15 reviews in the last quarter routinely outranks one with 300 stale reviews from 2023. Fresh reviews signal the business is alive. Rating has a credibility band. Below roughly 4.0, click-through drops sharply. Above ~4.8 with low count, Indian consumers get suspicious — a 4.6 with 300 reviews reads more trustworthy than a 5.0 with 12. Owner responses are visible to Google and searchers. Response rate is one of the few review signals fully under your control, and it directly shapes the "reading reviews" stage of the customer journey. Why this is a per-location game Reviews accrue to the location, not the brand. Your Indiranagar store's 4.7 does nothing for the Whitefield store sitting at 3.9 with 11 reviews. The local pack is drawn per query, per city, per pin. That means review operations have to be per-location too: each outlet needs its own review link, its own counter card or QR code, and its own response owner. Brand-level "please review us" campaigns that link to the head-office listing actively hurt — they concentrate reviews on one pin while forty others starve. The review-ops playbook Generate a per-location review link — a direct URL that drops the customer into the review box with zero searching. Our free review link generator builds one from any Place ID. Put the link where the customer already is : thank-you SMS after purchase, invoice footer, WhatsApp Business quick reply, QR at the billing counter. Ask at the moment of satisfaction — after delivery confirmation, after a resolved support ticket, not three weeks later. Respond to everything within 48 hours. Positive reviews get a short thank-you; negative reviews get an owner-visible resolution path. Never argue. Track per-location velocity monthly. A location whose review flow stalls is usually a location with an operational problem worth knowing about. What not to do Incentivised reviews, review gating (only asking happy customers), and bulk fake reviews violate Google's guidelines for representing your business and increasingly trigger automated takedowns and listing suspensions ( Guidelines for representing your business on Google , accessed July 2026). For a multi-location brand, one suspended listing costs more than a hundred honest reviews earn. Measure it, and know what the audit actually measures Here is the honest boundary. Our free audit automates the two review signals that are readable from the data Google returns: the star rating and the review count . It runs each as a severity ladder, where a listing lands on at most one tier. A rating below 3.5 stars flags Critical and a rating between 3.5 and 4.0 flags Warning; separately, fewer than 10 reviews flags Warning and 10 to 50 flags Info. It also raises a heuristic flag when a low rating pairs with a low count, since that combination usually means negative reviews are going unaddressed. Because each ladder fires at most one tier, reviews contribute a bounded number of deductions to the score, exactly as the Brand Health Score methodology lays out. That is the whole of what the audit does with reviews, and it does it across every location Google shows for your brand in about a minute, which is its real advantage over a manual pass. What the audit does not automate today is exactly the richer material above: review recency , owner response rate , and rating versus category median . Those genuinely matter, which is why this post covers them, but reading them correctly needs a human in the review stream, so treat them as manual review items rather than something the score computes. We are deliberate about that split, and you can see the full automated-versus-manual breakdown in what the audit actually checks today . To turn any of this into per-location review growth, start from a direct review link for each outlet. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/blog/duplicate-google-listings-multi-location Home Blog Duplicate Google listings split your reviews, rankings and revenue Duplicate Google listings split your reviews, rankings and revenue How duplicate Google Business Profile pins happen across multi-location estates, why they split reviews and rankings, and how to find and merge them safely. Vinayak Kulkarni · 20 Jun 2026 · updated 21 Jul 2026 duplicates listings multi-location A duplicate listing is two (or more) Google Business Profile pins for the same physical location. For a single-store business they are an annoyance. For a multi-location brand they are a structural leak: every signal that should compound on one pin — reviews, photos, Q&A, ranking history — gets split across two. How duplicates happen in real estates Legacy pins. The store existed on Google Maps before the brand claimed it; the claimed profile and the auto-generated map pin never got merged. Relocations. The store moved, someone created a new listing instead of editing the address, and the old pin lived on. Franchisee enthusiasm. A local manager created "their" listing, unaware corporate already managed one. Name-format drift. "Brand Name, Baner" and "Brand Name - Baner Pune" at slightly different pin positions look like two businesses to Google's matcher — and sometimes to Google's own suggestion pipeline. Agency churn. A previous vendor bulk-created listings from a spreadsheet with slightly different addresses. What duplicates actually cost Split reviews. Twenty reviews on each of two pins reads as a 20-review business twice, not a 40-review business once. Google states that review count and score feed the prominence factor in local ranking ( Improve your local ranking on Google , accessed July 2026), so splitting reviews across two pins leaves both ranking worse than the merged one would. Cannibalised rankings. Google generally shows one listing per business per query. Two pins for the same store compete for the same slot, and the algorithm's pick may be the unmanaged one — stale hours, no photos, no owner responses. Suspension risk. Persistent duplicates for the same storefront can trip quality checks on the whole account, and suspensions on a multi-location account are slow to appeal. Broken attribution. Calls, direction requests and website clicks split across two Insights panels, so your per-store performance data understates every duplicated location. Finding them across forty stores Manually, you search every store name plus locality and eyeball the map, ten minutes per location, error-prone, and you will miss pins with drifted names. At estate scale you need to compare every listing Google returns for your brand against every other, and geographic proximity is the strongest signal that two pins might be the same store. That cross-location comparison is what our free audit runs. It pulls every listing Google shows for your brand and computes the distance between each pair of same-brand pins. When two sit within roughly one kilometre of each other, the engine surfaces them as a duplicate candidate , alongside the name drift and category mismatches it also detects across the four consistency dimensions . The word candidate is deliberate: proximity is a strong signal, not proof. Two genuinely separate branches in a dense market can sit close together, so the engine hands you a shortlist to verify, never a confirmed verdict. A confirmed duplicate is something only a human produces, after checking the addresses, phone numbers, storefront photos, and ideally a call to each pin. We walk through exactly how that proximity detector works, and the full verification workflow, in how duplicate detection works across an estate . Removing them safely Resolution only starts once a human has confirmed a genuine duplicate, and it happens entirely inside Google's own manual review process. Google is explicit that you should not keep more than one profile for the same business, and it provides a review-based flow for removing duplicates rather than an automatic one ( Google's help article on removing duplicate listings , accessed July 2026). Never delete the older, review-rich pin. Reviews do not transfer on deletion. The goal is to merge signals into the strongest listing, not to amputate. For unclaimed duplicates: use the profile's own "Suggest an edit" flow to report it for removal as a duplicate, or claim it and then request the merge through Business Profile support. For claimed duplicates in your own account: mark the redundant profile as a duplicate in the Business Profile Manager, and let Google's review process consolidate the pins. For relocations: edit the address on the existing listing rather than creating a new one. If a new pin already exists, merge toward whichever listing holds the review history. Re-audit after 30 days. Merges take time to propagate, and estates that produced one duplicate usually produce more. What the audit does and does not do here The engine's role is narrow and honest: it detects proximity-based duplicate candidates across your estate and hands you the shortlist. It does not merge listings, delete anything, or report duplicates to Google on your behalf. Every pair it surfaces is a candidate a human must verify before any action, because merging is irreversible and Google itself resolves duplicates through a manual review, not an instant switch. Duplicate-candidate detection is one part of a broader audit checklist that spans seven categories, and it is the one that is genuinely impossible to run by hand at scale. Put this playbook on autopilot. The free audit runs every check in this post across all your locations — no card required. Get a free audit Book a demo --- # https://placeoptimizer.com/about About Built by Invarya, in Pune, for India. Invarya Technologies builds local-search and mapping tools for Indian businesses. PlaceOptimizer is our Google Business Profile audit — the same engine we run for our own clients, now available to any multi-location brand. How we build Three things we don't compromise on. India-first, not India-also. Built for the cities, categories, and multi-location brands operating across Indian metros — not a Western tool with an India toggle bolted on. Pricing you can actually see. Per-location plans published in rupees (GST extra) at every location band. Most platforms in this market price in USD or make you book a sales call to learn the number. Honest by default. We show what the engine actually checks and score what it actually finds. No fabricated benchmarks, no invented customer logos, no inflated numbers. Built from a real product. PlaceOptimizer is the same audit engine Invarya already runs for its clients — productised, not prototyped. The report you get is the report we send. About Invarya Questions about the company. Who builds PlaceOptimizer? PlaceOptimizer is built by Invarya Technologies Private Limited, a company registered at C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India. Invarya builds local-search and mapping tools for Indian businesses, and PlaceOptimizer is our Google Business Profile audit — the same engine we already run for our own clients, now available to any multi-location brand. You can reach the team at sales@invarya.com. What does PlaceOptimizer do? PlaceOptimizer audits the Google Business Profile presence of Indian multi-location brands. It discovers every listing a brand owns across India, checks each one against a health checklist, and rolls the results up into a single 0–100 brand-health score with a client-ready report. The goal is to show a multi-location brand exactly where its listings are inconsistent, incomplete, or duplicated, so those problems can be fixed before they cost the brand local-search visibility. Why is PlaceOptimizer built India-first? We build for the cities, categories, and multi-location brands operating across Indian metros — not a Western tool with an India toggle bolted on. That shows up in the details that matter locally: pricing published in rupees rather than dollars, and an audit tuned to how Indian brands actually appear on Google Maps. Invarya is based in Pune and builds local-search tooling specifically for Indian businesses, so India is the primary case, not an afterthought. How is PlaceOptimizer priced? Pricing is published openly, per location, in Indian rupees, with GST charged extra, at every location band. We deliberately show the number rather than hiding it behind a sales call — most platforms in this market price in US dollars or make you book a demo just to learn what a plan costs. There is also a free scored audit you can run with no payment, so you can see the product before deciding on a paid plan. Are the audit results honest, or are the numbers inflated? We are honest by default. PlaceOptimizer shows what the engine actually checks and scores only what it actually finds — there are no fabricated benchmarks, no invented customer logos, and no inflated numbers anywhere in the product. The report you receive is the same report we send our own clients, productised rather than prototyped. If we cannot verify a claim, we do not make it, which is why this page carries no customer testimonials or case studies we could not stand behind. How do I get in touch with Invarya? You can email the team at sales@invarya.com to talk about a paid plan or ask a question about an audit. If you would rather just see the product first, you can run the free Google Business Profile audit on the site — enter a brand name and a work email, and the scored executive snapshot is delivered to your inbox. Invarya Technologies Private Limited operates from Baner, Pune, Maharashtra, India. Keep exploring How it works The four-step audit pipeline we built. Read more Free audit Try the same engine Invarya runs in production. Read more Book a demo Talk to the Invarya team in Pune. Read more Audits built for how India actually searches. Run a free one, or talk to the team that built it. Get a free audit Book a demo --- # https://placeoptimizer.com/demo Book a demo See PlaceOptimizer on your own brand. A 30-minute walkthrough with the Invarya team — no slides, your actual listings. A walkthrough of the audit on your own brand. How scoring and the report work for multi-location networks. Pricing and rollout for the number of locations you run. Prefer to see it first? Run a free audit — no card, no call required. Your name Brand / company Work email Number of locations Anything we should know? (optional) Website I agree to be contacted by PlaceOptimizer (Invarya Technologies) about a demo. We don’t sell or share your details. Request a demo Routed to the Invarya team What the demo covers Four things the Invarya team will walk through on your brand. Every line below describes a check or output the PlaceOptimizer audit engine runs today — restated in the order you will see them during the call. 01 What the audit checks, category by category. Six per-listing categories — basic information, business hours, ratings and reviews, media, categories and attributes, listing health — plus a seventh cross-location consistency check that compares every listing in your estate against every other on name, primary category, website, and phone format. The engine runs the automated part; manual verification items are flagged as such, never silently scored. 02 How the Brand Health Score is built. Every listing starts at 100 and loses points per issue, weighted by severity — Critical costs 15, Warning 7, Info 2. Per-listing scores are averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and proximity-based duplicate candidates. The score is a PlaceOptimizer diagnostic, not a Google metric — useful for tracking one brand over time, not as a league-table number. 03 What you see during the call. A live walkthrough on your own brand: discovery across the cities you operate, the scored report, the ranked issue list, and the cross-location consistency findings side by side. No slides, no canned demo — your actual listings. If a city comes back thin because of search-data provider coverage, we will show you that distinction rather than hide it, because an empty audit reads very differently from a low-score audit and the operator deserves to know which one they are looking at. 04 What happens after the call. You leave with the full audit output for your brand, the ranked issue list, and an honest read on which of the seven categories your estate is already strong in and which need work. If the per-location pricing fits, the next step is a design-partner onboarding with the Invarya team — Starter covers the bulk CSV diff-and-apply import and the India geo hierarchy, Growth adds rank tracking and AI review replies, and Enterprise adds the brand-compliance engine and managed onboarding. If you want to read the full audit method before the call, the seven-category guide walks every category in detail, and the scoring methodology discloses the exact point weights per severity. Both are written so the operator can see exactly where the machine stops and human verification begins, because an audit tool that pretends everything is automated is not being straight with you. Terms you'll hear on the call Five vocabulary items that come up in every PlaceOptimizer walkthrough. Brand Health Score Brand Health Score is a single 0–100 number that summarises the listing-level findings of a Google Business Profile audit into one figure a marketing lead can track month over month. It is built in two stages: every listing starts at 100 and loses points for each issue the audit raises, weighted by severity (Critical costs 15 points, Warning 7, Info 2); the per-listing scores are then averaged into a brand base, and brand-level deductions are applied for problems that only exist across the estate, such as name fragmentation, primary-category inconsistency, and duplicate-candidate clusters. The score is a PlaceOptimizer diagnostic, not a Google metric — Google does not produce, recognise, or endorse it, and it does not predict where a brand ranks in the local pack. Treat it as a directional diagnostic for tracking one brand over time, not as a league-table number for comparing unrelated brands. Search-data provider A search-data provider is a third-party company — for PlaceOptimizer, that means SerpAPI and DataForSEO Maps — that maintains its own index of what appears in Google Search and Google Maps results, and sells programmatic access to that index for outside-in audits. The audit works by querying one or more of these providers for the listings that surface for a brand in a given area, then applying the seven-category checklist to whatever comes back. Because the providers are metered prepaid or postpaid, an empty audit can mean either a genuine coverage gap or a exhausted provider balance, and the engine distinguishes the two by surfacing each provider’s billing state alongside every result: prepaid balance remaining for the prepaid providers, accrued spend for the postpaid one. The architectural choice is deliberate; Google’s own Business Profile management API is gated behind an access-request process and does not exist to power outside-in audits of listings you do not own. Severity ladder A severity ladder is the audit’s mechanic for handling a single underlying number that has more than one meaningful threshold, where each tier is allowed to fire at most one issue rather than stacking. The most common examples are the rating ladder (a sub-3.5-star rating is Critical, a 3.5-to-4.0 rating is Warning, and a higher rating is untouched), the review-count ladder (fewer than 10 reviews is Warning, 10 to 50 is Info, and anything above 50 is untouched), and the photo-count ladder (zero photos is Critical, fewer than 5 is Warning, fewer than 10 is Info). Ladders exist because stacking — charging a 3.2-star listing with both the Critical and the Warning tiers from the rating ladder — would double-count a single weak signal and produce a misleading score. Each ladder contributes at most one issue to the per-listing score, which is how the score stays interpretable. Discovery Discovery is stage one of the PlaceOptimizer pipeline, the step that turns a brand name into a list of every Google Business Profile that brand appears to own across the markets it cares about. The engine queries SerpAPI and DataForSEO Maps for the listings that surface for the brand in each city, deduplicates by Place ID so the same storefront returned by two providers counts as one, and hands the resulting set to stage two, the audit. Discovery is the only stage whose failure mode is invisibility: a duplicate listing that does not surface for the brand in any provider index is invisible to the discovery step, and therefore invisible to the audit, and therefore invisible to the score. The free audit uses the same discovery path as the paid platform; the difference is the rate- and cost-caps that pin the free run to a sensible default scope. GST invoicing GST invoicing is the practice of issuing a tax-compliant Goods and Services Tax invoice on every charge, with the GST component broken out so the buyer can claim input tax credit and close the books cleanly under Indian tax law. For an Indian business paying for software, the invoice format and the GST inclusion matter as much as the headline price: a USD-billed foreign vendor may not issue a GST invoice at all, and the customer has to reverse-charge and self-account, which adds reconciliation work. PlaceOptimizer publishes per-location, per-month INR prices with GST invoicing built in, so the invoice the customer receives is the one their accountant expects, and the GST component is shown separately so it can be claimed as input credit. That is the operational difference between an India-first price list and a global suite with an India toggle. --- # https://placeoptimizer.com/terms Home Terms of service Legal Terms & Conditions Last updated July 5th, 2026 Terms & Conditions Privacy Policy Cookie Policy Refund & Cancellation On this page Electronic record Platform ownership Agreement to terms Terms of use Force majeure Governing law Contact FAQ Electronic record This document is an electronic record in terms of the Information Technology Act, 2000 and the rules made thereunder as applicable, and the amended provisions pertaining to electronic records in various statutes as amended by the Information Technology Act, 2000. This electronic record is generated by a computer system and does not require any physical or digital signature. This document is published in accordance with the provisions of Rule 3 (1) of the Information Technology (Intermediaries Guidelines) Rules, 2011, which require publishing the rules and regulations, privacy policy, and terms of use for access or usage of placeoptimizer.com , including the operator console at app.placeoptimizer.com (together, the "Platform"). Platform ownership The Platform is owned by Invarya Technologies Private Limited , a company incorporated under the Companies Act with its registered office at C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India (the "Platform Owner", "we", "us", "our"). Agreement to terms Your use of the Platform and its services and tools is governed by these terms and conditions ("Terms of Use"), including the applicable policies incorporated herein by reference. If you transact on the Platform, you are subject to the policies applicable to that transaction. By merely using the Platform you contract with the Platform Owner, and these terms, including the policies, constitute your binding obligations. Any terms proposed by you that add to or conflict with these Terms of Use are expressly rejected and shall have no force or effect. These Terms of Use can be modified at any time without assigning any reason; it is your responsibility to review them periodically. Wherever the context requires, "you", "your", or "user" means any natural or legal person who uses the Platform or has agreed to become a user on it. ACCESSING, BROWSING OR OTHERWISE USING THE PLATFORM INDICATES YOUR AGREEMENT TO ALL THE TERMS AND CONDITIONS UNDER THESE TERMS OF USE, SO PLEASE READ THEM CAREFULLY BEFORE PROCEEDING. Terms of use Use of the Platform and our services is subject to the following: You agree to provide true, accurate, and complete information during and after registration, and you are responsible for all acts done through your registered account. Audit results, scores, and reports are produced from third-party data sources (including Google) at a point in time. Neither we nor any third party warrants the accuracy, timeliness, completeness, or suitability of the information and materials offered on the Platform for any specific purpose. We expressly exclude liability for inaccuracies or errors to the fullest extent permitted by law. Your use of the Platform is at your own risk and discretion. You must independently assess whether the services meet your requirements. The contents of the Platform and its services are proprietary to us or licensed to us. You gain no intellectual-property rights, title, or interest in them, including the design, layout, look, and graphics. Unauthorised use of the Platform may lead to action under these Terms of Use and applicable law. You agree to pay the charges associated with paid services. You agree not to use the Platform for any purpose that is unlawful or forbidden by these Terms or by Indian or other applicable law, including submitting audit requests for businesses you have no legitimate interest in, or attempting to circumvent rate limits and usage caps. The Platform may contain links to third-party websites; your use of those sites is governed by their own terms and policies. You acknowledge that we use analytics services (Google Analytics 4 and self-hosted Plausible and OpenPanel instances) to measure usage of the Platform, as described in our Privacy Policy and Cookie Policy . Initiating a transaction for paid services creates a legally binding and enforceable contract with the Platform Owner. You shall indemnify and hold harmless the Platform Owner, its affiliates, group companies, and their respective officers, directors, agents, and employees from any claim, demand, or action, including reasonable attorney's fees, made by any third party or any penalty imposed, arising from your breach of these Terms of Use, the Privacy Policy, or other policies, or your violation of any law or the rights of a third party. Force majeure Notwithstanding anything contained in these Terms of Use, the parties shall not be liable for any failure to perform an obligation under these Terms if performance is prevented or delayed by a force majeure event. Governing law These Terms and any dispute or claim relating to them, or their enforceability, shall be governed by and construed in accordance with the laws of India. All disputes arising out of or in connection with these Terms shall be subject to the exclusive jurisdiction of the courts in Pune, Maharashtra, India. Contact All concerns or communications relating to these Terms must be sent to us using the following contact information: Email: hello@invarya.com Website: placeoptimizer.com Company: Invarya Technologies Private Limited, C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India Frequently asked questions Who operates PlaceOptimizer? The Platform — placeoptimizer.com and the operator console at app.placeoptimizer.com — is owned by Invarya Technologies Private Limited, a company incorporated under the Companies Act with its registered office at C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India. In the Terms it is referred to as the “Platform Owner”, “we”, “us”, or “our”. Are audit results and scores guaranteed to be accurate? No. Audit results, scores, and reports are produced from third-party data sources including Google, at a point in time. Neither we nor any third party warrants the accuracy, timeliness, completeness, or suitability of the information for any specific purpose, and we expressly exclude liability for inaccuracies or errors to the fullest extent permitted by law. Your use of the Platform is at your own risk and discretion, and you must independently assess whether the services meet your requirements. Which law governs these Terms? These Terms, and any dispute or claim relating to them or their enforceability, are governed by and construed in accordance with the laws of India. All disputes arising out of or in connection with the Terms are subject to the exclusive jurisdiction of the courts in Pune, Maharashtra, India. Can PlaceOptimizer change these Terms? Yes. These Terms of Use can be modified at any time without assigning any reason, and it is your responsibility to review them periodically. Accessing, browsing, or otherwise using the Platform indicates your agreement to all the terms and conditions then in force, so you should read them carefully before proceeding. What am I agreeing to by using the Platform? By merely using the Platform you contract with the Platform Owner, and these Terms — including the policies incorporated by reference such as the Privacy Policy and Cookie Policy — constitute your binding obligations. You agree to provide true and complete information, to pay the charges for any paid services, and not to use the Platform for any unlawful purpose or to circumvent rate limits and usage caps. --- # https://placeoptimizer.com/privacy Home Privacy policy Legal Privacy Policy Last updated July 5th, 2026 Terms & Conditions Privacy Policy Cookie Policy Refund & Cancellation On this page Introduction What we collect How we use it Analytics & tracking Sharing Security Deletion & retention Your rights Consent Changes Grievance Officer FAQ Introduction This Privacy Policy describes how Invarya Technologies Private Limited and its affiliates (collectively "Invarya", "we", "our", "us") collect, use, share, protect or otherwise process your information and personal data through placeoptimizer.com and app.placeoptimizer.com (together, the "Platform"). You can browse most of the Platform without registering. We do not offer any product or service under this Platform outside India, and your personal data is primarily stored and processed in India. By visiting the Platform, providing your information, or availing any service offered on it, you expressly agree to be bound by this Privacy Policy, the Terms & Conditions , and the laws of India, including those applicable to data protection and privacy. If you do not agree, please do not use or access the Platform. What we collect We collect personal data when you use the Platform, our services, or otherwise interact with us. This includes: Account data: name, email address, and organisation details you provide when you register or sign in (including via Google OAuth). Audit inputs: the business names, locations, and related details you submit when running a Google Business Profile audit. These typically describe businesses, not private individuals. Lead and contact data: details you share when you request a demo, a full report, or contact us. Payment data: when paid plans apply, billing name, address, GSTIN, and payment-instrument details processed by our payment partners. We do not store card numbers ourselves. Usage data: pages visited, features used, and aggregate interaction data as described under Analytics & tracking . You always have the option not to provide information by choosing not to use a particular service or feature. If you receive an email or call from anyone claiming to be Invarya and seeking sensitive data such as card PINs or banking passwords, never provide it; report the incident to an appropriate law-enforcement agency. How we use it We use personal data to provide the services you request: running audits, generating reports and scorecards, operating your account, and responding to demo or contact requests. We also use it to improve the Platform, troubleshoot problems, detect and protect against error, fraud, and other criminal activity, enforce our terms, conduct research and analysis, and, where you have not opted out, inform you about offers, services, and updates. Your access to some services may be affected if required permissions are not provided. Analytics & tracking We use three analytics services to understand how the Platform is used and to improve it: Google Analytics 4 (Google LLC): collects aggregated page-view, event, and traffic-source data using cookies. Google may process this data on servers outside India. You can opt out with the Google Analytics Opt-out Browser Add-on . Plausible Analytics (self-hosted by us at analytics.invarya.com): privacy-friendly, cookieless page analytics running on our own infrastructure. It collects no personal data, performs no cross-site tracking, and shares nothing with third parties. OpenPanel (self-hosted by us at events.invarya.com): privacy-first, cookieless product and web analytics running on our own infrastructure. It records aggregated page views and interaction events without setting tracking cookies, performs no cross-site tracking, and shares nothing with third parties. For the specific cookies these services use and how to manage them, see our Cookie Policy . Sharing We may share your personal data internally within our group entities and affiliates to provide you access to their services, and with third parties such as payment processors and technology partners where required to deliver the services, comply with legal obligations, enforce our user agreement, facilitate marketing, or prevent, detect, mitigate, and investigate fraudulent or illegal activity. We may disclose personal data to government agencies or authorised law-enforcement agencies where required by law, or in the good-faith belief that disclosure is reasonably necessary to respond to subpoenas, court orders, or other legal process, to enforce our Terms & Conditions or this Privacy Policy, or to protect the rights, property, or safety of our users or the general public. When a third party collects your data directly, their privacy policy governs; please read it before disclosing anything. Security We adopt reasonable security practices and procedures to protect your personal data from unauthorised access, disclosure, loss, or misuse. Transmission over the internet can never be completely secure, and by using the Platform you accept the inherent risks of data transmission over the web. You are responsible for protecting the login credentials of your account. Deletion & retention You can request deletion of your account and its data by writing to us at the contact below; deletion means losing all information associated with the account. We may refuse or delay deletion while a grievance, claim, or pending service remains open. We retain personal data no longer than required for the purpose it was collected for, or as required under applicable law, and may retain data where necessary to prevent fraud or future abuse. We may keep anonymised data for analytical and research purposes. Your rights You may access, rectify, and update your personal data directly through the account functionality on the Platform, or by writing to us at the contact information below. Consent By visiting the Platform or providing your information, you consent to the collection, use, storage, disclosure, and processing of your information in accordance with this Privacy Policy. If you disclose personal data relating to other people (for example, colleagues you invite to a workspace), you represent that you have the authority to do so. You consent to us and our partners contacting you through SMS, instant messaging, calls, and email for the purposes described here. You can withdraw consent by writing to the Grievance Officer below with "Withdrawal of consent for processing personal data" in the subject line. Withdrawal is not retrospective, and we may restrict or deny services for which we consider the withdrawn information necessary. Changes Please check this Privacy Policy periodically. We may update it to reflect changes in our information practices and will alert you to significant changes as required under applicable law. Grievance Officer In accordance with the Information Technology Act, 2000 and the rules made thereunder, the contact details of the Grievance Officer are: Name: Vinayak Kulkarni Designation: Grievance Officer Company: Invarya Technologies Private Limited, C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India Email: hello@invarya.com Hours: Monday to Friday, 9:00 AM to 6:00 PM IST Frequently asked questions What personal data does PlaceOptimizer collect? We collect account data (name, email, and organisation details you provide when you register or sign in, including via Google OAuth), audit inputs (the business names and locations you submit for a Google Business Profile audit), lead and contact data when you request a demo or full report, payment data when paid plans apply, and usage data about the pages you visit and features you use. Audit inputs typically describe businesses rather than private individuals. What analytics does PlaceOptimizer use, and can I opt out? We use three analytics services: Google Analytics 4, which uses cookies and which you can opt out of with Google’s Opt-out Browser Add-on; and two self-hosted, cookieless services we run on our own infrastructure — Plausible (analytics.invarya.com) and OpenPanel (events.invarya.com) — which set no tracking cookies, do no cross-site tracking, and share nothing with third parties. The specific cookies are listed in our Cookie Policy. Is my data stored in India? Yes, primarily. We do not offer any product or service under this Platform outside India, and your personal data is primarily stored and processed in India. One exception is Google Analytics 4, where Google may process aggregated analytics data on servers outside India; you can opt out of that service if you prefer. How do I delete my data or exercise my rights? You can access, rectify, and update your personal data through the account functionality on the Platform, or by writing to us. You can request deletion of your account and its data by writing to the contact in the policy; deletion means losing all information associated with the account. We may refuse or delay deletion while a grievance, claim, or pending service remains open, and we retain data no longer than required for the purpose it was collected for or as required by law. Who is the Grievance Officer? In accordance with the Information Technology Act, 2000 and the rules made thereunder, the Grievance Officer is Vinayak Kulkarni at Invarya Technologies Private Limited, Baner, Pune, Maharashtra 411045, reachable at hello@invarya.com, Monday to Friday, 9:00 AM to 6:00 PM IST. You can also withdraw consent for processing your personal data by writing to the Grievance Officer with “Withdrawal of consent for processing personal data” in the subject line. --- # https://placeoptimizer.com/cookies Home Cookie policy Legal Cookie Policy Last updated July 5th, 2026 Terms & Conditions Privacy Policy Cookie Policy Refund & Cancellation On this page Introduction What cookies are How we use them Cookies we set Third parties Similar technologies Managing cookies Cookies & personal data Updates Contact FAQ Introduction This Cookie Policy explains how Invarya Technologies Private Limited ("we", "us", "our") uses cookies and similar technologies when you visit placeoptimizer.com or use the operator console at app.placeoptimizer.com . By continuing to use the Platform you consent to the use of cookies as described here. You can manage your cookie preferences at any time through your browser settings. What cookies are Cookies are small text files placed on your computer or mobile device when you visit a website. They make websites work more efficiently, provide information to site owners, and enable certain features. Cookies can be persistent (remaining on your device until deleted or expired) or session (deleted when you close your browser), and first-party (set by the site you are visiting) or third-party (set by other services the site uses). How we use them Essential cookies Necessary for the Platform to function: security, session management, and authentication on the operator console. You cannot opt out of these; the console would not work without them. Functional cookies Remember your preferences, such as the light/dark colour scheme in the operator console. Analytics We use three analytics services: Google Analytics 4: tracks page views, events, and traffic sources using _ga cookies. Data is aggregated to understand visitor behaviour. See the Google Privacy Policy . Plausible Analytics: privacy-friendly page analytics served from our own infrastructure (analytics.invarya.com). Plausible sets no cookies , stores no personal data, and does not track you across sites. See the Plausible Data Policy . OpenPanel: privacy-first product and web analytics served from our own infrastructure (events.invarya.com). OpenPanel sets no tracking cookies and does not track you across sites; it uses only a small amount of browser local storage for its own operation. See the OpenPanel Privacy Policy . Cookies we set The specific cookies in use on the Platform: Cookie Type Purpose Duration better-auth.session_token Essential Maintains your authenticated session on the operator console 7 days nuxt-color-mode Functional Stores your preferred colour scheme (light/dark/system) in the operator console Session _ga , _ga_* Analytics Google Analytics 4: distinguishes visitors and sessions for aggregate traffic reporting 2 years Plausible and OpenPanel appear nowhere in this table because they are cookieless by design. Third parties Third-party services we use may set their own cookies, governed by their own privacy policies rather than this one. OAuth providers If you sign in to the operator console with Google, Google may set its own cookies during authentication. See the Google Privacy Policy . Payment processors When paid plans apply, our payment partner (Razorpay) may set cookies for fraud prevention and payment processing. See the Razorpay Privacy Policy . Similar technologies Local storage We use browser local storage for application state that persists across sessions, such as operator-console interface preferences and analytics library state. Session storage We use session storage for temporary data cleared when you close the tab, such as in-progress form state and navigation state. Managing cookies You can control cookies through your browser settings, usually under "Privacy" or "Security". Note that disabling essential cookies will break sign-in on the operator console. Google Chrome Mozilla Firefox Safari Microsoft Edge Opting out of analytics You can opt out of Google Analytics with the Google Analytics Opt-out Browser Add-on or by blocking _ga cookies in your browser. Plausible is cookieless and collects no personal data, so there is nothing to opt out of beyond standard content blocking. Do Not Track We currently do not respond to browser "Do Not Track" signals, but we continuously evaluate our practices and may do so in the future. Cookies & personal data Some cookies may collect personal data, particularly when combined with other information we hold about you. Where they do, we process that data in accordance with our Privacy Policy , with appropriate technical and organisational measures including encryption in transit. Updates We may update this Cookie Policy to reflect changes in our practices or for operational, legal, or regulatory reasons. Changes are posted on this page with an updated "Last updated" date, and your continued use of the Platform constitutes acceptance of the updated policy. Contact Questions about this Cookie Policy or our use of cookies: Email: hello@invarya.com Address: Invarya Technologies Private Limited, C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India For questions about how we handle personal data generally, see our Privacy Policy . Frequently asked questions What cookies does PlaceOptimizer set? The Platform sets three first-party cookies: better-auth.session_token, an essential cookie that maintains your authenticated session on the operator console (7 days); nuxt-color-mode, a functional cookie that stores your light/dark colour-scheme preference (session); and _ga / _ga_* analytics cookies from Google Analytics 4, which distinguish visitors and sessions for aggregate traffic reporting (2 years). Are Plausible and OpenPanel cookieless? Yes. Both Plausible (served from analytics.invarya.com) and OpenPanel (served from events.invarya.com) are cookieless by design and appear nowhere in the cookie table. Plausible sets no cookies and stores no personal data. OpenPanel sets no tracking cookies and uses only a small amount of browser local storage for its own operation. Neither tracks you across sites. How do I manage or block cookies? You can control cookies through your browser settings, usually under “Privacy” or “Security”, and the policy links the cookie-management pages for Chrome, Firefox, Safari, and Edge. You can opt out of Google Analytics with Google’s Opt-out Browser Add-on or by blocking _ga cookies. Note that disabling essential cookies will break sign-in on the operator console. Do you respond to Do Not Track signals? We currently do not respond to browser “Do Not Track” signals, but we continuously evaluate our practices and may do so in the future. In the meantime you can limit tracking through your browser’s cookie controls and the analytics opt-out options described in the Cookie Policy. Do third parties set their own cookies? Yes. If you sign in to the operator console with Google, Google may set its own cookies during authentication. When paid plans apply, our payment partner Razorpay may set cookies for fraud prevention and payment processing. These third-party cookies are governed by those providers’ own privacy policies rather than by our Cookie Policy. --- # https://placeoptimizer.com/refund Home Refund policy Legal Refund & Cancellation Policy Last updated July 5th, 2026 Terms & Conditions Privacy Policy Cookie Policy Refund & Cancellation On this page Introduction Cancellation Refunds Service issues Processing time Contact FAQ Introduction This policy outlines how you can cancel a PlaceOptimizer subscription or seek a refund for services purchased through the Platform operated by Invarya Technologies Private Limited . The free audit requires no payment and is therefore outside the scope of this policy. Cancellation Paid subscriptions can be cancelled at any time by writing to us at the contact below or, where available, through your account settings. Cancellation stops the next renewal; your plan remains active until the end of the already-paid billing period. We do not automatically cancel work already in progress, such as audits already running at the time of cancellation. Refunds Refund requests are considered when they are made within 14 days of the charge in question. Refunds are assessed on a pro-rata basis for unused service, except where the charge relates to services already delivered (for example, completed audits or generated reports), which are non-refundable. GST components are refunded as permitted by applicable tax law. Service issues If the service you received is materially not as described, report it to us within 14 days of the issue. Our team will investigate and take an appropriate decision, which may include re-running audits, extending your subscription, or issuing a partial or full refund. Processing time Approved refunds are processed within 14 days to the original payment method via our payment partner. Contact Questions about this policy: Email: hello@invarya.com Website: placeoptimizer.com Company: Invarya Technologies Private Limited, C-904, 9th Floor, Costa Blanca, Samarth Nagar, Baner, Pune, Maharashtra 411045, India Frequently asked questions Can I get a refund for my PlaceOptimizer subscription? Yes. A refund request is considered when it is made within 14 days of the charge in question. Refunds are assessed on a pro-rata basis for unused service. Charges for services already delivered — for example completed audits or generated reports — are non-refundable, and GST components are refunded only as permitted by applicable tax law. The free audit requires no payment, so it falls outside this policy entirely. How do I cancel my subscription? You can cancel a paid subscription at any time by writing to us at hello@invarya.com or, where available, through your account settings. Cancellation stops the next renewal; your plan stays active until the end of the billing period you have already paid for. Work already in progress, such as audits running at the time of cancellation, is not cancelled automatically. What if the service was not as described? If the service you received is materially not as described, report it to us within 14 days of the issue. Our team investigates and takes an appropriate decision, which may include re-running audits, extending your subscription, or issuing a partial or full refund. This is separate from the standard 14-day refund window and covers service-quality problems specifically. How long does a refund take to process? Approved refunds are processed within 14 days to your original payment method through our payment partner. The refund reaches your account according to your bank or card issuer’s own settlement timelines after we have released it. Is the free audit covered by this refund policy? No. The free audit requires no payment and is therefore outside the scope of the refund and cancellation policy. There is nothing to refund because nothing is charged. This policy applies only to paid PlaceOptimizer subscriptions and services purchased through the Platform operated by Invarya Technologies Private Limited.