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Glossary

Geo-grid rank tracking

Geo-grid rank tracking measures Local Pack visibility by running the same search from a grid of points, typically 3x3, 5x5 or 7x7, and coloring each point by your rank there.

Also known as grid rank tracking, geo-grid SERP scan, local rank heatmap

How geo-grid scans work

A scan starts from a center point, usually the business address, and lays a grid of points around it. From each point it runs the same search as if the searcher were standing there, finds your business in the results and records its rank.

The result is one rank for each point, drawn on a map: typically green where you are in the top 3, amber lower down, and red where you are missing. One look shows where you win and where you fade.

Why a grid beats a single check

A single rank check tells you where you appear from one spot, usually your own address. For a local search that is only part of the answer: Google names distance, how far each business is from the person searching, as one of the three main factors in local results, so the Pack can change a few streets away.

A grid shows that variation. Where a single check says you are fourth, a grid can show you first around your address, missing three miles east, and behind a competitor near its second location. That is a map you can act on: defend one area, build up another, or plan around a competitor.

Choosing a grid size

The size sets how many points you check; the spacing sets how much ground they cover.

  • 3x3 (9 points). A quick check around one address.
  • 5x5 (25 points). A neighborhood or a small town.
  • 7x7 (49 points). A wider service area, where rank changes from one district to the next.

Spacing matters as much as size. A storefront that draws customers from a few blocks needs tight spacing; a business that drives to customers across a city needs wide spacing. Keep the keyword, grid size and spacing the same from one scan to the next so the results compare.

Reading the results

Look for the pattern. You are usually strongest near your address; the question is how far that reaches and who takes over beyond it. Check which competitor holds the points you miss, and whether the pattern holds for each of your main searches.

The count of points where you appear in the top 3 is a useful summary, often called share of voice. It moves when your coverage changes, which an average rank can hide.

Geo-grid scans in Rank.ai

Rank.ai’s map scan checks a 3x3, 5x5 or 7x7 grid, with spacing presets from about 250 meters to about 5 kilometers between points, across Google Maps, the Local Pack and organic results. Scans run when you start them.

The summary shows your best rank and how many points put you in the results, in the top 3 and in the top 10. Hovering a point shows the top results there, and a scan can be shared by link with someone who has no account.

Sources

Read on .

Frequently asked

What's the difference between geo-grid and a single point rank tracker?
A single point tracker runs one search from one location and gives you one number. A geo-grid runs the same search from many points across your service area and gives you a map. When two spots a mile apart show very different ranks, which is common for local searches, a single number averages the difference away and the grid shows it.
How big should my grid be?
Start with a 5x5 for most businesses. Use a 3x3 for a quick check around one address, and a 7x7 when you serve a wide area and want to see where rank changes across it. Set the spacing to match how far your customers travel.
How far apart are the points?
It is a setting. Tight spacing shows street by street changes around a storefront; wide spacing covers a whole service area. Rank.ai's presets run from about 250 meters to about 5 kilometers between points.
Why do my competitors rank differently in different cells?
Distance to the searcher is one of the three main factors Google names for local results, alongside relevance and prominence. A competitor with a storefront on the east side will often outrank you on the east side, however strong your profile is. The grid shows which competitor holds which area.
Does the searcher's location affect rank?
Yes. Google says it uses how far each business is from the person searching, and when a searcher doesn't share their location it uses what it knows about it. A grid runs the search from each point so you see what a searcher there sees.
How often should I run a geo-grid scan?
Often enough to catch changes you can act on: monthly in a steady market, and after any change to your profile, a new competitor nearby or a new location of your own. In Rank.ai, scans run when you start them.
Can I share a grid scan with my client?
Yes. In Rank.ai a map scan can be shared by link, and the person opening it doesn't need an account.
Is there a free version?
Yes. The free Google Maps rank checker runs a 3x3 grid within about 1.5 kilometers of your business, for one keyword, with no account.

See if AI names you when customers ask who’s best.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first page.