How a local rank grid works
There is no single local ranking. Ask for dentist from one street and from another a few minutes away and the map results reorder, because distance from the searcher is part of the calculation. A grid tool works around this by running the same keyword from a spread of coordinates laid out across an area, recording the position at each one, and colouring the result. Strong points are green, weak ones red, and the picture is usually a warm centre fading outwards.
Two numbers come out of it. One is the average position across every point, which is convenient for reporting and easy to distort. The other is the share of points where the business appears at all. Neither is a ranking in the ordinary sense; they are summaries of many rankings sampled from places where a person may or may not ever be standing.
Why a rank grid matters
It replaces an argument with a picture. A business owner who searches from the office and sees themselves at the top, and a competitor who searches from across town and does not, are both right, and a grid shows why without anyone having to be wrong. It also makes gaps visible: a red edge on one side of the map is a real commercial fact about where enquiries are not coming from.
The shape teaches more than the score. Fading with distance is normal and expected — that is proximity doing its job. A business that holds position far from its own pin is showing genuine relevance and prominence, not luck, and that pattern is what sustained local work is trying to produce.
Common mistakes with rank grids
The worst is drawing a grid far larger than the business can serve. Points out at the edge will always be poor, so the average sinks, and the report describes a failure that was designed into the measurement. Set the grid to the area you actually want customers from.
The second is changing the grid between runs. Move the centre, widen the spacing or add points and the numbers stop being comparable, which quietly turns a tracking tool into a storytelling tool. The third is confusing coverage with demand. Many points sit on hillsides, rivers and empty land where nobody searches, so winning them is worth nothing, and a grid alone cannot tell you which points had people on them.
How to act on it
Fix the grid once, around the catchment you care about, and leave it alone so the runs stack up. Read it beside things that count: calls, direction requests, enquiries and the queries in your profile performance data. A grid that improves while enquiries do not has told you the keyword was the wrong one.
Use weak zones to decide work rather than to grade it. A cold area on the far side of a district usually needs relevance you have not built yet — a page written for that area, mentions and links from organisations based there, reviews from customers who name it. Combined with steady profile upkeep, that is how the warm centre widens, and it moves slowly enough that monthly comparisons are more honest than weekly ones. The wider approach sits under local SEO.