The problem with average rank
When a local SEO tool tells you 'you rank #4 for dentist', it's giving you a single number derived from a handful of queries. That number hides the geographic reality: proximity is Google's strongest local ranking factor, which means your rank varies dramatically depending on where the searcher is standing. A business that ranks #1 directly in front of its office might rank #22 across town. An average rank of #6 could mean you're winning everywhere except the neighborhoods where 70% of your target customers live.
What a geo-grid rank tracker actually does
A geo-grid rank tracker queries the local SERP from a configurable grid of geographic points around a business location. A 7×7 grid generates 49 data points. For each point, the tool records where the target business ranks in the local pack. The result is a heatmap: green cells where you rank top 3, yellow where you rank 4–10, red where you rank beyond 10 or don't appear at all. This heatmap reveals the real shape of your local visibility — where you're strong, where you're weak, and which direction the rank gradient runs.
Share of local voice: the metric that comes from the grid
Share of local voice (SoLV) is the percentage of grid points where a business ranks in the top 3 results. It's the single most useful summary metric from a geo-grid scan. A business with 73% SoLV is visible to 73% of the geographic area covered by the scan. After running an optimization (category change, description update, review velocity campaign), SoLV change is how you measure whether it worked.
Choosing the right grid size
Grid size and point spacing determine the scan's resolution and cost. For most businesses: 7×7 with 1km spacing gives you a 7km × 7km view of local visibility — enough to cover the typical service radius of a high-street business. 5×5 at 0.5km spacing works for dense urban areas where proximity matters at very short distances. 9×9 or 13×13 at 2km spacing works for service-area businesses or locations in rural markets with large trade areas. The right grid is the one that matches the geographic scope of the business's trade area.
When to run a geo-grid scan
Run a baseline scan before any optimization work — this is your before state. Run a follow-up scan 4–6 weeks after a significant GBP change (primary category change, description rewrite, major photo update). Run weekly scans for locations in active optimization campaigns. Run immediate scans when a competitor moves into the area or when a ranking drop is reported. Use monthly scans for stable locations in maintenance mode.