See where you actually rank in every block of your service area

Instead of asking 'where do I rank for plumber Brooklyn?' from a single point, geo-grid rank tracking asks the same question from dozens or hundreds of points across your service area. Each point is a cell in a grid; each cell gets its own SERP scrape; the result is a heatmap that shows where you actually appear in the local pack and where you fall off. It's the only way to see the truth that 'your rank' is really a function of where the searcher is standing.

A single rank check tells you where you appear from one geocoded location — usually the centroid of your business address. Geo-grid scans tell you where you appear from every block in your service area. Two locations a mile apart routinely show wildly different rank for the same keyword; a single check averages that signal away. If you sell to a service area, not a point, you need the grid.

Three tiers: LOW (25 points), MEDIUM (100 points), and HIGH (225 points). MEDIUM is the default for most service-area businesses; HIGH is the right pick for dense urban metros where a block-by-block view matters; LOW is enough for rural service areas where the next neighborhood is 20 minutes away. The density only affects cell count — the per-cell methodology is identical.

Polygon grids are anchored to a real administrative boundary (a metro, state, city, or zip), so cells fall inside the boundary instead of bleeding into an adjacent area. Radius grids are circular geofences with a custom kilometer radius — easier to set up, better when the service area doesn't line up with a polygon (e.g., a 15-mile delivery radius around a single warehouse). Most multi-location brands use polygon grids per location and radius grids for ad-hoc analysis.

Not today. Apple Maps coverage is on our roadmap but it isn't in the product yet. If Apple Maps geo-grid scans are a hard requirement for you this quarter, LocalFalcon ships them and is the more complete pick on that specific surface — see our /vs/localfalcon page for a full feature-by-feature comparison.

Active grid schedules re-scan on a daily cadence. If a recent grid already exists for a schedule (within the freshness threshold), we serve that result instead of re-spending on a fresh DataForSEO call — both to keep your bill predictable and because the underlying SERP genuinely doesn't move that fast for the same query from the same point.

Yes. Every cell in the grid records the competitors that appeared in the local pack at that point — name, place ID, website, address, and their rank in that specific cell. Drill into a cell on the heatmap to see who beat you there. This is the data that turns 'we're not ranking in the eastern part of town' into 'these three competitors own the eastern part of town and here's where they overlap with us.'

Yes — see our free geo-grid scanner. It runs a 3×3 grid on any business in about 60 seconds. No account, no card. It's the same SERP pipeline that powers the paid product, just constrained to 9 cells. Hand it to a prospect during a sales conversation.

LocalFalcon prices each map-pin in a scan as a credit — a 5×5 grid is 25 credits, and you can pay-as-you-go on top of a subscription. rank.ai uses a flat per-tier subscription with included usage across the platform (geo-grid, AI rank tracking, article generation), so you don't have to budget per-scan or count credits. Both models are reasonable; the credit model is great if you bill clients per-scan, the flat model is great if you want predictable monthly spend. See our pricing page for current tiers.

Knowledge Panel ownership detection (the crown overlay on cells where your business owns the panel, not just the local pack) is on our roadmap but not in production today. We track local-pack rank in every cell now; the Knowledge Panel layer is coming.