Automatic grid or chosen tracking points: which method for measuring local visibility
One chosen measurement point beats ten generated at random. Here is why, what each method actually costs, and how to build a sampling plan in thirty minutes.
One chosen measurement point beats ten generated at random. Here is why, what each method actually costs, and how to build a sampling plan in thirty minutes.
Every metric in the same format: what it measures, how you calculate it, how you read it. Plus the two metrics that suggest a performance which does not exist.
An audit establishes a state at a point in time — it does not set up ongoing tracking. Here are the eight steps, with the scoring grids you can use as they are.
A lattice of points around an address, one colour per point: a geogrid makes visible what an average rank hides. You still need to know what it measures — and what it measures for nothing.
You search for yourself on Google and you are first. Your customer searches the same thing, two miles away, and does not see you anywhere. Both results are correct.
A national tracker records one position per keyword. On a query with local intent that position does not exist: there is one per place, across three different result surfaces.
The primary category decides which queries your profile is eligible for. No other field makes up for a mistake here — and it takes five minutes to fix.
Completeness, review velocity, secondary categories, photos, citations: what the data published in 2026 says about the profiles occupying the top 3 of the local pack.
Review freshness is measured more predictive of the top 3 than total volume. A steady collection process therefore beats a campaign — and it has to stay within Google's rules.