Short answer, as of October 2026: geo-grid rank tracking checks the same local search from a grid of points across your area and colours each point by where you rank, so you can see the neighbourhoods where customers find you and the ones where they do not. It replaces a single, misleading rank number with a map, and the map nearly always falls into one of five recognisable patterns, each with a different fix.
If you have ever searched for your own business from the office, seen it at the top, and then heard from a customer across town that they could not find you, you have already met the problem a geo-grid solves.
Why one rank number is wrong
Google explains that local results are based mainly on three things: relevance, distance and prominence (Google Business Profile Help: how to improve your local ranking). Relevance is how well the profile matches the search. Prominence is how well known the business is. Distance is how far the business is from the searcher or from the place named in the search.
Distance is the one a traditional rank tracker cannot represent. It checks from one location, often the centre of a city, and reports a single position. For a business that draws customers from a few miles around, that figure describes one street corner. Two people a short drive apart will see different results for the same words.
A geo-grid fixes this by measuring from many points.
How a grid works
- A centre point is chosen, normally the business address.
- A square grid of points is laid over the map around it, at a set spacing.
- For each keyword, the search is run as if from every point.
- Each point is coloured by the position found: typically green for the top three, amber for the rest of the first page, red for lower or not found.
Positions one to three matter most, because those are the results shown in the map pack on a normal search page.
Two summary figures are commonly reported with the map. Average rank across all points gives a single trend number. Share of points in the top three tells you how much of the area you effectively cover. The second is usually the more useful to track, since an average can be dragged around by a few very poor points at the edge.
Setting it up sensibly
Radius. Size the grid to the area you can serve and have a realistic chance of winning. A cafe draws from a mile or so. A dentist from a few miles. A mobile service business may cover a whole metro area, but will still rank best near its address. A grid much larger than your reach produces a small green centre in a sea of red, which is discouraging and not informative.
Spacing. In a dense urban area, results change over short distances, so points should be closer together. In suburbs and rural areas, wider spacing is fine.
Keywords. Three to five. The main category term, one or two specific services, and any urgent or same-day term that matters commercially. Each keyword gets its own grid, and they often look quite different.
Baseline. Run the first scan before you change anything, and keep it.
The five patterns
Most heatmaps are a version of one of these.
| Pattern | What it looks like | Likely cause | What to do |
|---|---|---|---|
| Tight bullseye | Green at the centre, falling off quickly | Normal distance effect with modest prominence | Build prominence: reviews, accurate categories, complete services |
| Lopsided | Strong on one side, weak on the other | A stronger competitor on the weak side, or a boundary such as a river or city line | Study who ranks there; add content and reviews tied to those areas |
| Hole in the middle | Weak at or near your own address | Profile problem: wrong category, a suspension, a duplicate listing, or a mismatch in name and address | Audit the profile and listings before anything else |
| Patchy | Good and bad points mixed with no shape | Inconsistent data, or a keyword with mixed intent | Check listings for conflicts; test a more specific keyword |
| All red | Poor everywhere | The profile is not seen as relevant to that search | Fix the primary category and service list; confirm the profile is verified and live |
Reading them correctly
The bullseye is normal. Every business has one. The question is how wide it is and whether it is growing from scan to scan.
The hole in the middle is the urgent one. If you do not rank at your own front door, something is wrong with the profile itself, and no amount of content will help until it is fixed. Check for duplicate listings and for name, address and phone details that disagree across directories. The options for managing those are in local listings management.
All red on one keyword, fine on others, almost always means a category or service mismatch for that term. Compare the categories used by the businesses that do rank.
Lopsided maps reward local research. Look at who holds the weak side. If it is a competitor located there, distance is working against you, and the realistic goal is to narrow the gap at the boundary.
What moves the map
You cannot move your address closer to the searcher. You can work on relevance and prominence.
- Categories and services. The primary category is the strongest relevance signal on the profile. List every real service.
- Reviews. Volume, recency and detail. Reviews that naturally mention the service and the area add relevance. Reply to them; a workable way to keep that up is in Google Business Profile automation.
- Consistent listings. The same name, address and phone number everywhere.
- Useful location content. Pages about areas you really serve, with detail specific to each. Not copies with the place name swapped, a distinction drawn in location pages vs doorway pages.
- Local links and mentions. Suppliers, associations, sponsorships, local press.
Businesses with no public address, which travel to customers, face a harder version of this, covered in service-area businesses and AI visibility.
Be patient with the results. Local changes take weeks to settle. Expect the green area to grow outward from its edge. Distant red points turning green first would be unusual.
How often to scan
Monthly, on a schedule, with the same grid and keywords each time. Add one extra scan three to four weeks after a significant change so you can connect cause and effect. Weekly scans mostly show small fluctuations that are not worth reacting to.
Keep every scan. The value is in the sequence: the same map, month after month, with the green area widening or not.
Several locations
For a business with many branches, run one grid per location and compare them. The comparison is where the insight is. If eleven of twelve branches show a healthy bullseye and one shows a hole in the middle, you have found a profile problem at that branch in a few seconds. Rolling those results up into something a regional manager can use is the subject of multi-location SEO reporting.
What a grid does not tell you
A geo-grid measures map rankings. It does not measure whether those rankings produce calls, and it does not measure whether AI assistants recommend you, which is a separate question answered by tracking prompts. A sound local programme watches all three: the grid, the calls and direction requests from the profile, and AI mentions.
DigiRank Expert includes a geo-grid heatmap alongside its citations module, so listing fixes and their effect on the map sit in one place. The Starter plan at $99/mo covers one location; the Agency plan at $249/mo adds recurring scheduled scans and white-label share pages for client reporting. Details are on the features page and the pricing page.
Frequently asked questions
What is geo-grid rank tracking? It is a way of measuring local search rankings from many points across an area instead of one. A grid of locations is laid over a map, the same search is checked from each point, and the results are shown as a colour-coded heatmap of where a business ranks well and where it does not.
Why does my Google Maps ranking change depending on where I search from? Because distance from the searcher is one of the main factors in local results. Google states that local ranking is based on relevance, distance and prominence. A business can rank first for someone two streets away and not appear at all for someone five miles off.
How big should a geo-grid be? Match it to the area you can realistically serve and win. For a shop or clinic, a radius of one to three miles is usually enough. For a service business that travels, cover the main part of the service area. A grid far larger than your reach will show mostly weak results and hide the useful detail.
How often should I run a geo-grid scan? Monthly is enough for most businesses, with an extra scan a few weeks after a significant change such as new categories, a batch of reviews or new location content. Local rankings shift slowly, and more frequent scans mostly show small fluctuations.
Can I improve rankings far from my business address? To a degree. You cannot change your address's distance from the searcher, but you can strengthen relevance and prominence with accurate categories, service details, reviews that mention the work and area, and useful content about the places you serve. Expect gains at the edge of your current reach before distant areas.
Which keywords should I track on a geo-grid? Three to five that match what customers search for and what you most want to sell: the main category term, one or two specific services, and any high-value emergency or same-day term. Each keyword produces its own grid, so a short list keeps the results readable.
Does a geo-grid show AI search visibility? No. A geo-grid measures rankings in local map results. Whether AI assistants recommend your business is measured separately, by running prompts and recording whether you are named. The two are related, because both draw on your profile, reviews and listings, but they are different measurements.