A Nashville-area remodeling contractor ran a geo-grid scan, identified exactly where they were invisible, made targeted GBP and website improvements, and rescanned 55 days later. Here are the actual numbers.
Published July 16, 2026 · Industry: Home Remodeling · Location: Nashville Metro, TN
The Result in One Paragraph
On May 22, 2026, a Nashville-area remodeling contractor's 9×9 geo-grid scan showed zero points ranking in the top 3 and 67% of the service area invisible (20+ ranking). After identifying the gaps using RankGrid's scan data and making targeted GBP and website improvements, a July 16 rescan showed 10 points ranking in the top 3, 41% of the grid in the top 10, and only 27% invisible — a 40-percentage-point reduction in blind spots in 55 days.
Based on a 9×9 wide-area scan (81 grid points, 1,600m spacing) centered on the business address. Scan conducted using RankGrid v0.1.5.
Each circle represents one geographic scan point. Color indicates where the business ranked at that location on Google Maps for their target keyword. Red = not in the top 20. Green = ranked #1, #2, or #3.
A 9×9 wide-area geo-grid scan was run centered on the business address. Results showed the business was ranking in the top 10 only in the northwest quadrant of their service area — the four columns immediately west of their location. Everywhere east, south, and northeast: invisible (20+). Zero green dots. The scan also confirmed that three nearby competitors were dominating the eastern half of the grid.
Using the scan data and AI action brief from RankGrid, the team identified specific signals to strengthen. The scan showed strong proximity performance in one direction but a hard cutoff — a pattern typically linked to GBP relevance signals and website content gaps rather than proximity alone.
The rescan showed the optimization work had translated into ranking improvements across the grid — not just in one spot. The northwest area that was already performing moved further into the top 3. The top row (northern coverage) lit up gold across all columns. The transition zone (orange) expanded east and south, indicating the business is now surfacing in areas where it was previously invisible. The eastern half near the lake and highway corridor remains red — a known geographic barrier that limits proximity signals — but the improvement across the reachable service area is clear.
The most important insight from these two scans is the shape of improvement. The before scan showed a hard wall — good rankings in four columns, then a cliff to 20+. That pattern points to a GBP that is technically present but not sending strong enough relevance and service-area signals to Google's local algorithm.
The after scan shows a gradient expansion — ranks get worse as you move away from the business, but they get worse gradually instead of dropping off a cliff. That gradient pattern is what a healthy local presence looks like. It means the business's relevance and authority signals have strengthened enough for Google to extend its visible range.
The northern rows (top of the grid) going from 20+ to rank 6–8 across all nine columns is significant — that represents coverage across a wide east-west band the business was previously invisible in. Those are real customers who can now find this business when they search.
The orange band (ranks 11–20) that expanded across the middle of the grid is not a failure — it's a progress signal. Those points were 20+ before. They are now in the top 20, moving toward the top 10. A follow-up scan in another 60 days will show whether continued optimization pushes that orange band further into gold.
You cannot fix what you cannot see. This contractor had ranking data that showed only a fraction of their service area was visible on Google Maps — but they didn't know which fraction, or how severe the drop-off was, until the scan. The geo-grid scan turned a vague "we need more visibility" goal into a specific, geographic optimization plan. Fifty-five days of targeted work produced a measurable result. The next round of scans will show where to push next.
They ran a RankGrid geo-grid scan to identify exactly where they were visible and invisible across their service area. Using the scan data and the AI action brief, they targeted specific GBP improvements and website content additions. A 55-day follow-up scan showed top-10 coverage growing from 17% to 41% and invisible points dropping from 67% to 27%.
A regular rank check tells you how your business ranks from one location — usually your own address. A geo-grid scan checks your ranking from dozens of geographic points across your service area. This reveals that your rank is different at different distances and in different directions — and shows you specifically where you are invisible to potential customers searching nearby.
This case study shows meaningful results in 55 days. Most local SEOs see early movement in 30–60 days from targeted changes, with fuller results in 90–120 days. The speed depends on how competitive the keyword is, how many improvements were made, and how quickly Google re-crawls and processes the changes.
The scan data and heatmap are available from several geo-grid tools including Local Falcon and BrightLocal. What RankGrid adds is an AI action brief after each scan that interprets the pattern — telling you what the grid shape means and what to do about it. The before scan in this case showed a "cliff pattern" rather than a gradient; understanding that distinction guided the optimization strategy.
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