rank.ai for
rank.ai for multi-location brands
Track local rank, monitor GBP changes, sync reviews, and audit citations — across every location in your portfolio.
The problems compound with every location
Three operational realities show up on every multi-location call: visibility drifts unit-by-unit, local managers edit GBPs without telling you, and review trends signal store-level issues you only catch months late.
Visibility varies wildly by location
Store #14 ranks #2 for “burger near me”. Store #27 ranks #11 for the same query. Multiply that across every location and every product or procedure keyword you care about and an aggregated portfolio score hides the actual problem — you need to spot outliers without manually checking each unit. Per-location geo-grid heatmaps render every cell of every location’s service area so the outliers jump out visually.
GBP edits get made and you don’t know
Local managers add photos, change hours, swap categories, edit the service list. Without monitoring, brand consistency drifts — a category change at one location quietly tanks its map-pack visibility, and corporate marketing finds out three months later when revenue softens at that unit. GBP change monitoring runs daily across every linked profile and writes a ChangeEvent feed sorted by severity, so category swaps and hours discrepancies surface before the rank damage compounds.
Review trends signal operational issues
Store #9 draws a sudden spike of negative reviews mentioning “rude staff”. Store #22 keeps drawing the same complaint about wait times. You want to see this in week 1, not week 10. Daily review sync per location with sentiment, topic clustering, and pain-point extraction surfaces those operational signals at the unit level — before they show up in churn data.
Built for portfolio-scale local search
The three operational surfaces that move the needle for a multi-location brand — rank outliers, GBP change blindness, sentiment signal — in one platform.
Per-location heatmap dashboard
Every location runs its own geo-grid scan across its service area, with map-pack rank rendered per cell. Knowledge-Panel ownership is flagged on cells where you own the panel (P-13), and Apple Maps rank is tracked alongside Google (P-14). Native one-screen portfolio rollup is in roadmap; the data is there per-location today and most teams build the rollup via the Looker Studio connector in the meantime. See /local-rank-tracker.
Aggregated GBP change feed
Every change across every linked GBP in one stream, sorted by severity. The differ flags category swaps and hours discrepancies aggressively (they hurt rank fastest) and photo changes more leniently. Routing those alerts out to Slack, Discord, webhooks, or email distribution lists is in roadmap — the signal lands in the dashboard reliably today; getting it to where your regional teams already work is the next step.
Roll-up review sentiment + pain-point clustering
Daily review sync per location with sentiment, topic clustering across a controlled vocabulary, and pain-point extraction on negative reviews. Corporate marketing can see “wait times” spiking at store #22 and “rude staff” spiking at store #9 without reading every review — the operational signal surfaces in week 1 instead of week 10.
What multi-location brands use rank.ai for
Honest map of what ships today and what is in roadmap. Multi-location buyers have been burned by demos that overstated what was actually deliverable; we would rather under-promise.
| Use case | rank.ai status |
|---|---|
Per-location geo-grid heatmaps Map-pack ranking per cell, per keyword, per location. Knowledge-Panel ownership flagged on owned cells; Apple Maps rank tracked alongside Google. | Included (see /local-rank-tracker) |
Aggregated GBP change monitoring Daily snapshot of hours / category / photos / service-list per location, with ChangeEvent alerts when a third party edits the listing. | Included (P-9 Falcon Guard parity) |
Reviews sentiment + topics + pain points Per-review sentiment, topic clustering across a controlled vocabulary, and pain-point extraction on negative reviews — daily-synced per location. | Included (P-8) |
Citations consistency across 8 directories Read-only discovery + NAP-consistency diff per location across Yelp, Apple Maps, Yellow Pages, Foursquare, Bing Places, MapQuest, Manta, BBB. | Included (P-18) |
Scheduled PDF reports with recipient lists Selectable sections (national rank, geo-grid, AI rank, reviews, GBP monitoring, citations), recurring delivery, per-recipient signed S3 URLs. | Included (P-20) |
Looker Studio data API Pipe per-location data straight into your existing BI stack via the Looker Studio connector + Apps Script — 5 datasets, 365-day window, bearer-auth. | Included (see /integrations/looker-studio) |
Embed widgets for public scan sharing Drop a public geo-grid or AI-visibility scan onto a corporate site, a franchisee onboarding page, or an internal Confluence board via signed ShareToken. | Included (P-15) |
White-label dashboards + branded reports Org.branding controls logo, brand color, font, and custom domain — applied to dashboard chrome via BrandingProvider and to PDF reports. | Included (P-4 + P-16) |
CSV bulk import for keywords, prompts, locations, competitors Preview-then-apply with duplicate detection and per-org rate limit. 1000-row cap per upload covers most multi-location onboardings in one pass. | Included (P-22, just merged) |
Org-level rollup dashboard + sub-org client hierarchy Native one-screen view of every location with mean rank + heatmap thumbnail per row, plus regional sub-orgs so a franchisee or area manager sees only their units. | In roadmap |
What this looks like in practice
Three concrete shapes the multi-location workflow takes across franchise, healthcare network, and retail-chain teams.
Use case: a 200-location dental group catching rank outliers
Imagine a 200-location dental group running per-location geo-grid scans for “invisalign [city]” across every unit. Corporate marketing identifies the 12 locations where rank fell below position 6 and ships a corrective content + GBP-cleanup playbook to those franchisees specifically — then tracks the rebound in the same dashboard over the following weeks. The signal you need is which 12, not the aggregated 200-location average.
Use case: an 80-facility healthcare network monitoring review sentiment
Imagine a multi-state outpatient network syncing reviews daily across 80 facilities. The corporate patient-experience team watches the sentiment + pain-point feed for the units drawing repeat complaints about “wait times” or “billing confusion”, scheduled PDF reports go to each regional VP weekly, and the Looker Studio connector feeds the data into the existing internal BI dashboard so the patient-experience SLO chart updates without a copy-paste step.
Use case: a retail chain defending map-pack visibility against local competitors
Imagine a regional retail chain running per-location geo-grid scans for category keywords (“running shoes [city]”, “outdoor gear [city]”) against a fixed competitor list, with citations consistency checked monthly across the 8 directories the platform covers. The chain’s marketing director sees which neighborhoods are slipping versus the independent competitor — and decides where to spend next quarter’s local-search budget on the units that need it, not the ones already winning.
Pricing scales with location count
Multi-location pricing scales with location count rather than per-scan credits — the 50th location should not tick a meter somewhere. Talk to sales and we will scope the right tier for your roster.
Frequently asked.
Do you support 100+ location accounts?
Yes. The platform is built so a single Org can hold many linked websites and Google Business Profiles, each with its own keyword set, geo-grid configuration, review feed, and GBP monitoring. For very large rosters, the practical onboarding path today is the CSV bulk-import flow shipped at /settings (keywords, prompts, locations, competitors — preview-then-apply, 1000 rows per upload, duplicate detection), and the Looker Studio data API (see /integrations/looker-studio) for piping every location's data into your existing BI stack to build a custom multi-location rollup until our native one-screen rollup view ships. If you operate 100+ locations, please talk to us before you sign — there is some setup we want to walk through.
How is per-location pricing structured?
Multi-location pricing scales with location count rather than per-scan credits, which is the right shape for a portfolio that grows over time. We do not quote dollar amounts on this page because tier cutoffs change; see /pricing#agency for the closest published tier or talk to sales on /contact-us. The pricing model we want to avoid for you is the one where every new location ticks a per-scan or per-credit meter — that punishes growth and makes the unit economics painful by the 50th unit.
Can I assign a marketing manager to a region of locations?
Native sub-org / regional grouping — a workspace that scopes a regional marketing manager to a subset of locations (only Phoenix metro, only Texas, only the East-coast franchisees) with their own dashboard view — is in roadmap. The workaround today is per-region workspaces inside the Org: spin up a separate workspace for each region, add the regional manager as a teammate scoped to that workspace, and they will only see those locations. It is not yet the cleanest UX — we are being upfront about that — but it gets the access-control story working for most teams while the native sub-org hierarchy ships.
How does GBP change monitoring scale across many locations?
Per-location GBP linking and daily snapshotting is shipped today, and changes are written to a ChangeEvent feed per location with severity tagging (category swaps and hours discrepancies are flagged more aggressively than photo changes). What is still in roadmap is the fan-out side — routing those alerts to Slack channels, Discord webhooks, email distribution lists, or your incident-management webhooks per region or per franchisee. The signal lands in the dashboard reliably today; getting it out to where your team already lives is the gap we are closing next.
Can I get a single PDF report covering all locations?
Yes. Scheduled PDF reports support a multi-location filter — pick locations, pick the sections you want (national rank, geo-grid, AI rank, reviews, GBP monitoring, citations), pick the cadence and recipient list, and the report runs on a 15-minute dispatcher cron + lands as a signed S3 URL in each recipient's inbox. Reports stay available for 30 days post-generation. For very large portfolios, most teams configure one corporate-roll-up report plus per-region sub-reports for each regional marketing manager.
Do you support franchisee-specific white-label dashboards?
Parent-brand white-label is shipped — Org.branding controls logo, brand color, font, and custom domain, applied to the dashboard chrome via BrandingProvider and to scheduled PDF reports. What is in roadmap is the per-franchisee sub-org — each unit getting its own scoped login with its own branding overlay so the franchisee sees a portal styled as their unit rather than as the parent brand. If a per-franchisee branded portal is a hard requirement this quarter, that is worth knowing before you sign; today the cleanest pattern is parent-brand white-label across the corporate team plus per-region workspaces for franchise access.
Do you have an API?
Yes — a Looker Studio data API is shipped at /api/v1/looker/data/{dataset} covering five datasets (national rank, geo-grid, AI rank, reviews, citations) with bearer auth, pagination, a 365-day window, and a 200/hr rate limit. The Apps Script connector at /integrations/looker-studio is the cleanest path for piping per-location data into your existing BI stack and building a custom multi-location rollup today. A broader public API surface is on the roadmap once we have a contract we want to support long-term.
How fast can we onboard?
Faster than the alternative. For small rosters (under 10 locations) you can self-serve through the dashboard — add each location, link the GBP, configure keywords, and you are running scans the same day. For larger rosters the CSV bulk-import path (just merged 2026-05) handles keywords, prompts, locations, and competitors in a single upload with preview-before-apply + duplicate detection, so a 200-location onboarding is one CSV, not 200 form fills. Plan for a working session or two with our team to get the keyword sets and grid configurations right per region — multi-location onboarding is the kind of work we want to be in the room for.
Ready to see every location at once?
Start free on a handful of locations to see the geo-grid, GBP-monitoring, reviews, and citations surfaces in action — or jump straight to a sales conversation if you operate 100+ units and want help scoping the onboarding.
Ready to Improve
Your Rankings?
Use our free tools to get instant insights into your SEO performance and discover opportunities to rank higher