What Is a Geo-Grid Scan? (And What It's Actually Telling You About Your Rankings)
A geo-grid scan tracks your Google Maps ranking from dozens of locations across your service area. Here's how to read one and what to do with the data.
You think you rank #2 for "plumber near me" because you searched it on your phone and that's what you saw. The reality: from across town you're #14. From the next suburb you're invisible. Your phone shows you what's near you — not what your customers see.
A geo-grid scan fixes this. It checks your ranking from a grid of locations across your service area, all at once, and shows you the truth. Here's what it is, how to read one, and what to do once you've seen yours.
What you'll learn:
- What a geo-grid actually does
- How to read the heatmap
- The patterns that tell you what's broken
- How to use the data to prioritise your work
Why Your Ranking Changes by Location
Google Maps rankings are local to the searcher. The same query — "emergency plumber" — returns different results depending on where you're standing.
A plumber based in Brisbane CBD will rank #1 for searches from the CBD. From Stafford, 8km north, the same plumber might rank #6. From Cleveland, 25km east, they might not appear in the top 20.
This isn't a bug. It's by design. Google's own local ranking documentation confirms distance to the searcher is one of three core inputs to local ranking.
The problem for business owners: you can't measure what you can't see. If you only ever check rankings from your own phone, you're checking from your business's location. Of course you rank well there. The customers you actually want to reach are 10km away.
What a Geo-Grid Does
A geo-grid scan picks a centre point (usually your business address) and a radius (say 10km). It overlays a grid of points across that area — typically 5×5 (25 points), 7×7 (49 points), or 9×9 (81 points).
For each point, it runs a Google Maps search for your target keyword as if the searcher were standing at that point. It records your ranking position and plots it on a heatmap.
The output is a single picture that shows your ranking at every location simultaneously. Green where you rank well. Yellow where you're mid-table. Red where you're invisible.
This is the only honest way to measure your Maps presence. Anything else is anecdote.
How to Read the Heatmap
A geo-grid heatmap usually colours each point by ranking position:
- Dark green — top 3 (you're in the Map Pack)
- Light green — top 10 (visible on first scroll)
- Yellow — 11-20 (page two; minimal traffic)
- Orange — 21+ (essentially invisible)
- Grey/red — not ranked at all for this query at this location
Read the picture, not the average. The average score (sometimes called "Local Visibility" or "AGR" — average grid rank) flattens too much information.
What matters is the shape of the green.
The Common Patterns (And What Each One Means)
Pattern 1: A green dot at your address, red everywhere else
What it looks like: one point of dark green, everything else orange or red.
What it means: you're only visible to people standing at your address. Your business is real and indexed but it's not winning competitive queries. This is the most common pattern for new businesses or businesses that have never done local SEO.
The fix: prominence. Reviews, GBP completeness, citations. The basics, in order — and Whitespark's industry survey consistently shows reviews and GBP signals at the top of the impact list.
Pattern 2: A bullseye — green centre, fading outwards
What it looks like: dark green at the centre, light green ring, then yellow, then orange.
What it means: you're winning your immediate area but losing as distance grows. Google is happy to show you locally; competitors are stronger as you move out.
The fix: depends on how far out you serve customers. If your service area is 5km, this might be fine — you don't need to rank 30km away. If it's 25km, you've got a prominence gap relative to suburban competitors.
Pattern 3: Patchy — green and red mixed without a clear pattern
What it looks like: scattered green dots in unexpected places, red where you'd expect green.
What it means: competitors are dominating specific suburbs. Each red zone has a strong local incumbent. Geographic distance isn't the issue — competitive density is.
The fix: look at who's ranking in your red zones. They'll have one of three things you don't: more reviews, a more complete GBP, or location-specific content (a service-area page targeting that suburb).
Pattern 4: Strong on one side, weak on the other
What it looks like: half the grid green, half red, divided down the middle.
What it means: there's a stronger competitor between you and the weak side. Google is filtering you out of those queries because the other business is closer to the searcher and prominent enough to win.
The fix: prominence work pays off here. You can't get closer, but you can become the more compelling answer.
Pattern 5: Mostly red with a single distant green dot
What it looks like: invisible most places, ranking unexpectedly well in one specific area.
What it means: you've got a backlink, a review, or a citation associated with that area. Or there's no competition there. Either way, it's a clue about what's working.
The fix: investigate why that dot is green. Replicate the cause across other areas.
What the Data Tells You to Do
A geo-grid isn't useful unless it changes your decisions. Here's how to use one:
1. Pick the queries that matter most. Don't grid 30 keywords. Grid your top 3 — the ones that actually drive customers. "Plumber [city]", "emergency plumber", "blocked drain". Anything else is noise.
2. Identify your worst suburb. The single suburb where you most need to rank but currently don't. That's your campaign target.
3. Look at who beats you there. Open Google Maps from a search at that point (use a VPN or a tool that simulates location). The top 3 are your competitors for that suburb. Note their review count, rating, and category setup.
4. Close the prominence gap. If they have 120 reviews and you have 40, that's the gap. If their primary category is more specific than yours, that's the gap. If they reply to every review and you don't, that's the gap.
5. Re-scan in 30 days. A geo-grid is a measurement tool. The point isn't the picture — it's the change in the picture. If your green is spreading, your work is paying off. If it's stagnant, you're doing the wrong work.
What a Geo-Grid Won't Tell You
Setting realistic expectations:
- It won't tell you why you're losing. It tells you where you're losing. The why is for you to investigate.
- It won't fix anything by itself. Buying a geo-grid tool and not acting on it is a waste of money.
- One scan is a snapshot. Real signal is in trends. Run the same scan monthly.
- Hyper-local queries are noisy. Rankings can shift 2-3 positions day to day on competitive queries. Don't overreact to single-day changes.
How Often to Scan
For most local businesses, monthly is enough. Weekly is overkill unless you're running an active campaign and need to measure the effect of specific changes.
If you've just done meaningful work — a new batch of reviews, a GBP overhaul, a new service area page — scan before and 30 days after. That's when you'll see whether the work moved the needle.
What This Means for Your Local SEO Strategy
Most local SEO advice is generic: "get more reviews, optimise your GBP". A geo-grid makes it specific: "get more reviews from customers in [this suburb] because that's where you're losing".
Without a geo-grid, you're flying blind. With one, you've got a map of exactly where to focus.
That's not optional in 2026. Your competitors are running these scans. If you're not, you're guessing while they're targeting.
Little Nudge includes a geo-grid scanner in every paid tier — run scans across your service area, track changes monthly, and see exactly where your prominence work is paying off. Start your free trial and run your first scan in under 5 minutes.