Geo grid rank tracking measures your Google Maps position for a keyword from many places at once. Instead of asking Google once where you rank for “emergency plumber,” the tool asks 25 or 49 or 169 times, each time from a different set of coordinates across your area.
Every point gets its own answer, because Google answers differently depending on where the searcher is standing.
That is the entire reason the method exists. Proximity to the searcher drives roughly 55 percent of ranking in the Map Pack, the block of three businesses above the map.
So your rank is not one number. It is a surface that rises near your pin and falls away with distance, with dents wherever a strong competitor sits.
This article covers what a grid point is, why the same keyword returns different positions at different points, how size and spacing change the picture, what a scan costs, and what a grid can never tell you.
What a grid point actually is
A grid point is a pair of coordinates, a latitude and a longitude. When a scan runs, the tool takes each point in turn and asks Google for the local results a searcher standing at those exact coordinates would see for your keyword.
It finds your business in that list, records the position, and moves on. When your listing sits too deep in the results to matter, the cell is marked not found rather than given a number.
There is no modeling and no averaging inside a cell. Each cell is one real query result from one location. A 5×5 grid means 25 separate searches and 25 separate answers.
It also means 25 units of work for the vendor, which is why most of them meter scans by the point. Hold that thought for the cost section.
Why one keyword returns 25 different positions
Rankings in the Map Pack are built from a stack of signals. Profile signals carry about 32 percent of the weight, reviews about 20, on page factors about 15, with behavioral signals, links, citations, and personalization holding smaller shares.
Those are rough shares, not a complete accounting, and they describe things that are fixed across your grid. Your review count does not change between the northeast corner and the southwest corner. Neither do your categories or your website.
What changes is distance. Before those weights even apply, proximity between the searcher and each business pin accounts for roughly 55 percent of the outcome.
Move the searcher two miles east and every distance in the calculation shifts at once. Yours gets longer, a competitor’s gets shorter, and the order flips. That is the whole mechanism behind the pattern a scan produces: strong near your pin, weaker with distance, and abrupt holes around each competitor’s address.
Two consequences are worth stating plainly. First, nothing you buy or optimize removes the proximity effect. A stronger profile can outweigh it at the margins, but nothing deletes it.
Second, ranking badly at the far edge of your grid is not automatically a problem to fix. Sometimes it is just geometry. If that describes your map, read why you rank in some areas and not others and the full list of local SEO ranking factors before spending money on it.
Grid size: how many answers you are buying
Grid size is the number of points per side. A 3×3 grid runs nine searches, a 13×13 runs 169. Bigger is not more accurate, it is just more.
Each point is equally real whether it has 8 neighbors or 168. What a bigger grid buys you is coverage, and since most vendors charge per point, coverage is the bill.
One piece of arithmetic helps here: a grid spans one fewer interval than it has points per side. A 7×7 grid at 1 mile spacing stretches 6 miles across, not 7.
| Grid size | Searches per scan | Span at 1 mile spacing | Sensible use |
|---|---|---|---|
| 3×3 | 9 | about 2 x 2 miles | Quick pulse check of the immediate neighborhood |
| 5×5 | 25 | about 4 x 4 miles | Routine tracking for a neighborhood business |
| 7×7 | 49 | about 6 x 6 miles | Most single location businesses in a city |
| 9×9 | 81 | about 8 x 8 miles | Large city or a wide service area |
| 13×13 | 169 | about 12 x 12 miles | Metro coverage for reports, run occasionally |
Match the grid to the area you actually win customers from. A 13×13 grid over a business that serves three suburbs mostly pays to confirm that people far away cannot see you, which you already knew.
Spacing: the multiplier people set wrong
Spacing is the distance between neighboring points, and it multiplies everything the size setting does. The same 7×7 grid covers about 3 miles across at half mile spacing and about 30 miles across at 5 mile spacing. Same 49 searches, same cost, wildly different pictures.
Match your real trade area. Dense urban businesses should go tight, because in a city the pack can change within a few blocks and wide spacing steps over the detail.
Suburban businesses sit comfortably at 1 to 2 miles. A contractor serving a county can go wider, though past a certain radius you are mostly mapping the proximity falloff, not anything you can act on.
Look at the map before you hit run. Points that land on water, a forest, or an industrial park at 2 a.m. are searches no customer will ever make. Recenter or tighten the grid so the points sit where people actually are.
A scan is a snapshot, not a verdict
Local results move. Run the same scan tomorrow and a few cells will differ by a position or two without anything changing on your side. That is normal churn, not a signal, and it is the reason a single scan should never decide anything important.
The value shows up in repetition. Keep the keyword, the center, the size, and the spacing identical, and rerun on a schedule. Weekly is enough for almost every business.
Daily makes sense mainly for agencies mid campaign or after a big change. It multiplies cost sevenfold for detail most owners will never act on.
When you do change something meaningful, a category, a new page, a review push, give it weeks before you judge the before and after. Judge the pattern across the grid rather than any single cell.
What a scan costs, in honest terms
Most vendors meter geo grid scanning with credits, and one point checked for one keyword generally uses one credit. The arithmetic compounds fast.
A 7×7 grid with five keywords is 245 credits per run. Weekly, that is roughly 1,000 credits a month for one location. Move to a 13×13 and the same schedule needs about 3,400.
Real examples from published pricing. Local Falcon sells monthly credit packages from about $25 to about $200 for roughly 7,500 to 63,000 credits, and it is a dedicated grid tool rather than a full suite.
Semrush’s Map Rank Tracker has a free tier of one campaign, one keyword, a 5×5 grid, and 50 credits a month, which works out to two full scans. Its standalone tier is $30 a month for 4,000 credits. Local Dominator meters scans by grid size and frequency on top of the subscription price.
None of this is a scam, but it means the sticker price is not the capacity. A heavy scanning schedule can empty an allowance mid month, and the fix is a top up you did not budget for.
StoreLocatorSoftware prices by location instead of by point: $16 a month for one location, a flat $37 a month covering 2 to 7 locations in total, and $5.33 per location per month from 8 locations up.
Annual billing is 10 percent off, and the 3 day trial needs no card. Whichever model you buy, do the credit math for your intended grid, keyword count, and schedule before you commit, not after.
What a geo grid cannot tell you
A grid is a measuring instrument. It is honest about where you rank and silent about everything else, and vendors do not always spell out the silence.
It cannot tell you why
A weak cell does not say whether the cause is a competitor’s pin sitting closer, their review lead, your missing primary category, or your thin website.
The grid shows where to look. Diagnosis is separate work: comparing profiles, reviews, and pages against whoever holds the cells you want. A grid without that follow up is a pretty picture of a problem.
It cannot tell you demand
A grid point is a coordinate, not a customer. The scan weights every point equally, but the market does not. Ranking first across an empty stretch of highway is worth less than ranking fifth in the dense neighborhood where your buyers live, and no heatmap encodes that.
Search volume, seasonality, and which keywords people actually use all live outside the grid, in local keyword research.
It cannot tell you revenue
Rank is not calls, and calls are not jobs. A grid that turns green while the phone stays quiet is telling you the keyword is wrong, the profile photos are weak, or the reviews scare people off.
Track calls, direction requests, and website clicks alongside rank, and let those numbers have the final word.
It cannot see through personalization
Scans query from clean, neutral locations. Real customers search with an account, a history, and past behavior, and personalization holds a small share of the ranking weight. A grid is the best available approximation of what people see, not a replay of any one person’s screen.
Setting up a first scan worth repeating
- Pick one keyword a paying customer would type, not your brand name. Your brand rank is nearly always fine and it wastes points.
- Center the grid on your business pin, since that is the point Google measures your distance from.
- Start with 7×7 and set spacing so the grid roughly covers your trade area, using the span arithmetic above.
- Run it, and resist reacting to any single cell.
- Save the exact settings and rerun weekly. The trend is the product, the first scan is just the baseline.
You can run this with our local rank tracker, or use the Map Pack rank checker when you only need a fast single check. Service area businesses should center on the pin too, and use the service area rank tracker to watch the wider radius.
One caution, backed by leaked API documentation: the service area you draw on your profile is display and geo consistency data, not a ranking input. Widening it does not move rankings, and your grid will show the same decay from the pin either way.
The grid is the method, the heatmap is the picture
People use “geo grid” and “heatmap” interchangeably, but they name two halves of one process. The grid is the data collection, dozens of coordinate searches. The heatmap is the display, those results colored on a map so the pattern jumps out.
The display deserves its own skill, because misread heatmaps lead to bad spending. Start with how to read a local SEO heatmap, see what a full Google Maps heatmap shows across a city, and if you are unsure which class of tool you need, heatmap vs rank tracker settles it.
Where a single point rank checker still fits
None of this makes ordinary rank checks useless. A single point check is fast, cheap, and fine for a quick pulse, a sanity check after an edit, or a keyword you only mildly care about.
What it cannot do is describe coverage, because one point cannot see a spread. Use it as a thermometer, not a map. Our guides on checking Google Maps rankings and local SEO rank checkers cover when each approach earns its keep.
Frequently asked questions
Do grid scans affect my rankings or my profile stats?
Scans read results. They do not click your listing, call you, or request directions, so they do not create the behavioral signals Google measures, and they will not move your rank.
Whether scan queries ever appear in your profile’s impression counts depends on how a vendor collects data, and many pull from the Google Business Profile APIs rather than driving a browser. If clean performance numbers matter to you, ask the vendor how they query.
Does a geo grid track regular organic results too?
Most grid tools track the Maps results, because that is where position depends on the searcher’s location. The organic results below the pack weight differently, roughly 33 percent on page and 24 percent links, and they vary far less across a city.
If organic positions matter to you, run a standard keyword rank checker alongside the grid rather than expecting one tool to do both jobs.
Should the keyword include a city name?
Track one of each. A bare service keyword like “electrician” shows the proximity driven picture most mobile searches produce.
A keyword with an explicit city tells Google the location intent directly, and the resulting map is often flatter, though still not uniform. The two patterns together tell you more than either alone.
Why do two grid tools disagree on the same day?
Different scan times, different recording depths, and different collection methods all shift results a little, and local rankings themselves drift within a day. Neither tool is necessarily wrong. Compare a tool against its own history, never against another tool’s single afternoon.
What single number should I report from a grid?
The two common summaries are average rank across all points and the share of points where you rank in the top three.
The top three share is the better headline, because it maps directly to appearing in the pack and survives being explained to a client or a spouse. Whichever you choose, keep grid size and spacing frozen between scans, or the trend line means nothing.
Where StoreLocatorSoftware fits
StoreLocatorSoftware runs geo grid scans as part of a wider local SEO toolkit, with the per location pricing above rather than a credit meter, and a 3 day trial with no card at app.gbppromote.com/register.
To be straight about the limits: it measures where you rank. It will not tell you why a weak cell is weak, and it will not fix the ranking for you. That takes diagnosis and actual profile work.
If a geo grid is genuinely the only thing you need, a dedicated single purpose grid tool can serve you perfectly well. Most businesses end up wanting the scan next to their reviews, profile, and reports, which is the case this tool is built for.