Why does my map ranking look different depending on where I check it?
Because local rankings are computed for the searcher's coordinates, not for a city. There is no single map pack position — there is a different result set at every point. Grid rank tools sample many coordinates and draw the pattern. Read that pattern as a shape: how far your visibility extends from your address, and how fast it falls off. The average number across the grid is close to meaningless.
There is no such thing as your ranking
Ask three people in the same city to search the same term and you can get three different map packs. Google computes local results from the device's location, which means position is a function of coordinates. A rank report that says you are third for emergency plumber in a city has quietly picked one coordinate and hidden that choice.
Grid tools exist to make this visible. They query the same term from a lattice of simulated locations and plot your position at each one. The output is a heat map, and heat maps carry more information than the number most reports lead with.
Three shapes and what each one means
- Bright core, fast falloff. You rank well within a mile or two and drop off a cliff. Relevance is fine; prominence is thin. This is the most common shape for a competent but young profile.
- Dim everywhere, including at your own address. Almost always a relevance problem — usually the primary category, sometimes a profile that is suspended, duplicated or unverified.
- Patchy, strong in odd pockets. Competitor density varies across the grid. You are winning where the incumbents are sparse. Useful for choosing where to sell, not a sign of anything broken.
- Broad but shallow. Visible across a wide area but never in the top three. You are a candidate everywhere and a winner nowhere; prominence is the gap.
Grid settings change the story more than the rankings do
Grid spacing and radius are chosen by whoever set up the tool, and they determine what you see. A grid with points five miles apart across a metro will miss entire neighborhoods. A tight grid over a small radius will look flattering because it never leaves the zone where distance favors you. Two agencies can report opposite conclusions about the same business by choosing different grids.
Fix the geometry once and never change it, the same way you would fix any measurement baseline. If the grid moves, the trend line is fiction.
Weight the grid by where your money comes from
The upgrade almost nobody makes: not every grid point deserves equal weight. Pull the service zip codes of your completed jobs out of your field service system and weight the grid by booked revenue. Visibility in a zip that produces steady work is worth far more than visibility in one that has never produced a job.
That join turns a rank map into a business report. It is the same pattern we use across operational dashboards — marketing signals are only interpretable next to the operational record they are supposed to produce.
Topics: rank tracking · geogrid · proximity · local reporting
Have a version of this question about your own business?
The useful answer usually depends on which systems you run and how they're connected. That's a conversation, not a blog post.