What Is a Local SEO Grid Ranking Report?

A standard rank report tells you that you’re ranked #4 for “dentist Boulder.” A grid ranking report tells you that you’re #1 from your own office, #4 from the Pearl Street Mall, #11 from CU Boulder’s main entrance, and you don’t appear at all from north Boulder past Iris. The first kind of report is a number on a page. The second is a map of where your phone rings and where it goes silent.

That difference matters because the first report flatters you. The second one shows you the truth. We’ve watched business owners look at a green-and-red heatmap and physically lean back in their chair, because the version of “I rank pretty well in Boulder” they’ve been carrying around for two years just dissolved on contact with reality.

This piece explains what a local SEO grid ranking report actually is, how to read one, which tools generate them, what they cost, and what to do with the findings. By the end you should be able to evaluate your own listing’s geographic visibility honestly and know whether to commission a report, run one yourself, or hire someone to do both.

What a grid ranking report shows you

A grid ranking report (also called a geo-grid heatmap, geo-grid scan, or local rank grid) plots your business’s Google Maps ranking for a chosen keyword across a grid of geographic points around your business address. Each point in the grid is treated as a simulated searcher: the tool asks Google “what businesses appear for [keyword] from this exact GPS coordinate?” and records where your business shows up in the results.

The output is a square grid, typically 5x5, 7x7, 9x9, 11x11, 13x13, or up to 21x21 depending on the tool and plan. Each cell of the grid is colored by the rank you achieved from that simulated point: green for top three, yellow for 4-10, orange for 11-20, red for 20+ or not ranking. The center of the grid is your business address. The grid extends outward at a chosen radius (typically 1 to 5 miles in dense metros, 5 to 25 miles in rural service areas).

Read across one row or down one column and you can see how your visibility changes as a searcher moves through your service area. Green cells are revenue-positive territory. Red cells are dark zones where you may as well not exist for that keyword.

A real example, drawn from numbers

Imagine a Boulder-based home cleaning service tracking the keyword “house cleaning Boulder” on a 7x7 grid with 1.5-mile spacing between points. The center cell (their address near 28th and Pearl) returns #2. The two cells north of center, both within a mile, return #3 and #4. Two miles east toward the foothills returns #1 (probably because the next-closest competitor is further). Two miles south toward Table Mesa returns #14. Three miles west into south Boulder returns #28, off the visible grid entirely.

That single report tells the owner several things their flat rank report could not:

They have strong visibility in central and north Boulder.
They lose prominence dramatically going south, suggesting a south-Boulder competitor with better local signals.
They have an unexpected pocket of dominance to the east, which they could exploit in marketing.
Their service area on the GBP probably needs to extend further south, or they need to build south-Boulder-specific content and reviews.

That’s a far more actionable strategic input than “you rank #4 in Boulder.”

How the underlying tech actually works

Every grid ranking tool does roughly the same thing under the hood. The mechanism is worth understanding because it affects accuracy and what kinds of grids you can ask for.

The tool takes your specified keyword and your specified grid (size and spacing). For each cell in the grid, it constructs a search query that includes the GPS coordinates of that cell. There are two ways to do this:

The UULE-parameter method (used by Local Falcon, GeoRanker, and Geogrid). The tool appends a uule= URL parameter to the Google search request. The UULE parameter is a base64-encoded string that tells Google “treat this search as if it came from these exact coordinates.” This produces results identical to a real searcher physically standing at those coordinates with location services enabled.

The IP-proxy method (historically used by some BrightLocal grid tracking and a few older tools). The tool routes the search through a proxy server located in the city or region of interest. This produces approximate-location results but not pinpoint-coordinate results. Coarser, but cheaper to run.

UULE-based grids are the gold standard. If you’re commissioning a report, ask the provider which method they use. The difference shows up most in dense metros where two coordinates a half-mile apart can produce noticeably different rankings.

How to read a grid ranking report

The visual is intuitive (color-coded cells), but the strategic reading is where most people get it wrong. Five things to look for, in this order.

1. The Average Map Rank (AMR). Most tools compute a single number that averages your rank across all cells, weighting equally or by cell size. AMR is the cleanest summary metric. AMR of 4.2 on a 7x7 grid means your business shows up at an average rank of 4.2 across 49 simulated searches in your service area. AMR is a tracker. You don’t optimize for AMR directly. You optimize the inputs and watch AMR move.

2. The Solv (Share of Local Voice). A complementary metric, sometimes called Map Pack Visibility or Local Visibility Score. This is the percentage of cells where you appear in the top 3. Solv of 35 percent means you’re in the 3-pack from a third of the simulated points. Solv is more business-relevant than AMR because the 3-pack is where calls actually originate.

3. The shape of the green zone. Is it a circle around your address (typical for prominence-driven rankings)? Is it skewed in one direction (suggesting a competitor on the opposite side suppressing you)? Is it patchy and irregular (suggesting weak signal that’s getting beaten by random competitors)? The shape tells you whether your problem is one specific competitor or a general weakness.

4. The boundary where green turns to yellow turns to red. That boundary is your effective service radius for that keyword. If you’ve defined your GBP service area at 25 miles but your green-yellow boundary is at 3 miles, you’re claiming a service area you can’t actually fulfill in search.

5. The keyword-by-keyword variation. A single grid for a single keyword is one snapshot. Run grids for your top 5-10 keywords and compare. You may discover you dominate “emergency plumber Boulder” but barely show for “drain cleaning Boulder,” which would tell you exactly what services pages and reviews to build out next.

The tool comparison

Three tools dominate grid ranking in 2026. We’ve used all three. Here’s how they actually compare in practice, not in marketing copy.

Tool	Starting price	Grid sizes	UULE accuracy	Strengths	Weaknesses
Local Falcon	$49/mo (5,000 credits)	3x3 to 21x21	Yes (UULE)	Most accurate; best for one-off deep scans; trend tracking; competitor scans	Credit math gets expensive at scale; UI dated
BrightLocal	$39/mo (Track plan)	Multiple sizes (max not publicly documented)	IP proxy historically, UULE on newer plans	Bundled with broader local SEO suite; good for agencies running many clients	Grid is one feature among many; less depth than Falcon
Geogrid	Plans starting around $25/mo	Up to 17x17	Yes (UULE)	Newer entrant; cleaner modern UI; competitive pricing	Smaller user base; fewer integrations
GeoRanker	Custom pricing	Various	Yes (UULE)	API access; good for developers and large agencies	Less DIY-friendly; pricing not transparent

Pricing pulled from each tool’s public pricing pages as of May 2026. Confirm at point of purchase, since these change.

For most small-business owners doing 1-3 scans a month on a single location, Local Falcon is the right answer. It’s the most accurate, the credits-per-scan math is manageable at small volume, and the trend tracking (running the same scan weekly or monthly) is best in class.

For agencies running 10+ client locations who want grid tracking bundled with citation management, review monitoring, and reporting, BrightLocal is the right answer.

For developers or teams that need API access to embed grid data in custom dashboards, GeoRanker is worth a look.

For small businesses who want a UULE-accurate scan at a low monthly minimum, Geogrid has been increasingly competitive in 2025 and 2026.

The cost math

A 21x21 grid is 441 cells, which means 441 simulated Google searches. On Local Falcon’s credit system, a 21x21 scan runs roughly $1.65 at full rate (sometimes less with annual plans). Running that scan weekly for a year is about $86. Running it monthly is about $20. Running it once and acting on the findings is $1.65.

A 7x7 grid is 49 cells, around 30 cents per scan. Plenty for most small-business diagnostic work.

The question isn’t whether grid scanning is expensive. It isn’t. The question is what cadence makes sense. We recommend: one detailed scan (15x15 or 21x21) at the start of an engagement to establish baseline, then weekly small scans (7x7) to track movement, with one big rescan quarterly. That cadence runs $40-80 per location per quarter, well below the cost of being wrong about your own visibility.

What to do with the findings

A grid report is diagnostic. It tells you where you stand. The remediation depends on what you find.

If you have a strong center and a sharp dropoff: this usually means your prominence is okay near your address but you don’t have local content or reviews mentioning the further-out neighborhoods. Add neighborhood-specific service pages with real content (named streets, named landmarks, named ZIP codes) and start asking customers in those neighborhoods specifically for reviews that mention their neighborhood by name.

If you have an asymmetric green zone (strong on one side, weak on the other): usually a competitor on the weak side is eating your prominence. Run a competitor analysis, look at their review count and velocity, look at their citation profile, and identify the specific gap.

If you have a weak center (low rank even at your own address): this is the most concerning pattern, because it usually means your relevance signal is wrong. Check primary category, secondary categories, and services. The first article in this series, How Google Maps Rankings Work, walks through that diagnostic.

If you have a patchy, random pattern: usually a sign of weak overall signals. Build a fundamentals checklist (GBP completeness, review velocity, basic citations, NAP consistency) and run that for 90 days before re-grading.

A note on commissioning a report from an agency

We sell grid reports as part of SEO Believer’s local audit work. A few notes for context, regardless of who you commission from.

A diagnostic-only grid report should cost $150-400 and include: a 15x15 or 21x21 scan of your top 3-5 keywords, a written interpretation with recommendations, and a competitor scan for the same keywords. Anything in that price range from a competent provider is fair value.

A full local audit should cost $500-1,500 and include the above plus: a category audit, a citation consistency audit, a review velocity baseline, a competitor prominence comparison, and a 90-day remediation plan with specific actions. Anything significantly more than that is paying for someone’s office overhead, not for additional analytical depth.

If you’re being charged $2,000+ for a grid report and the deliverable is just the heatmap with a paragraph of recommendations, you’re overpaying. We’ve seen it.

The Bone Voyage example, applied

When Annette ran Bone Voyage Dog Rescue, the operations were nationwide and the geographic-rank question was different (we cared about ranking for “dog rescue near me” from many different cities, not from a 3-mile grid). The tool we used for that work was different. But the underlying logic was the same: simulate searches from the locations our adopters were searching from, see what we ranked for, build content and prominence in the gaps.

For a brick-and-mortar Front Range business, the grid ranking report is the cleanest equivalent of that work. Pick your three highest-revenue keywords, scan a 21x21 grid at appropriate radius, look at the green-yellow-red shape, and use what you see to prioritize the next 90 days of local SEO work.

Frequently asked questions

What’s the difference between a grid ranking report and a regular SEO rank report?

A regular rank report shows your rank for a keyword from one location (typically your business address or your office’s IP location). A grid ranking report shows your rank from many locations simultaneously, mapped geographically. The grid report exposes the spatial reality that one number obscures.

How often should I run a grid scan?

Most small businesses don’t need more than one detailed quarterly scan plus a smaller monthly tracking scan. Running daily scans is overkill unless you’re actively in the middle of a campaign and want to watch movement in near-real-time.

Are grid ranking tools accurate?

UULE-based tools (Local Falcon, GeoRanker, Geogrid) produce rankings that closely match what a real searcher would see from those coordinates. There’s some natural variation because Google personalizes results to individual user history, but the cell-level rank you see in a UULE-based scan will typically match a real-world test from that location within 1-2 positions.

What grid size should I use?

For a small urban service area (1-3 miles): 7x7 or 9x9 with 0.5-mile spacing. For a suburban or metro service area (3-10 miles): 11x11 or 13x13 with 1-mile spacing. For a rural or wide-service-area business: 15x15 or larger with 2-3 mile spacing. The goal is to cover your full intended service area without wasting cells beyond it.

Can I run a grid scan myself or do I need to hire someone?

You can run one yourself. Local Falcon’s freelance plan at $49/month is enough for several scans per month. The skill isn’t in running the scan, it’s in interpreting it. If you want the diagnosis, hire someone for the interpretation. If you just want the data, run it yourself.

Will a grid scan help me rank in cities I haven’t been targeting?

It tells you where you currently rank, not where you could rank. If you scan a city you haven’t been targeting and you rank #15 from the center, that’s a starting point that could move with the right local content and review work. The scan doesn’t change rankings; it shows them.

What’s a good Average Map Rank to aim for?

In a competitive metro, an AMR under 5 across your top keywords is excellent. Under 10 is solid. Above 15 is a warning. AMR of 20+ across your service area means you’re effectively invisible to most searchers and your local SEO needs work, not tweaks.

Can I see my competitor’s grid scan?

Yes. Most grid tools let you specify any business as the subject of the scan, not just your own. Running competitor scans is one of the fastest ways to identify where they have visibility you don’t, and what you need to build to compete.

What to do next

If you want to commission a grid ranking report for your Front Range business, we run them. The deliverable is a 21x21 scan of your top three keywords, a written interpretation with the green-zone-shape diagnosis, a competitor scan for the same keywords, and a prioritized list of the three highest-leverage moves. Pricing and timing are on the contact page.

If you want to run one yourself, Local Falcon’s free trial is enough to scan one keyword on a small grid and see how the format works. That’s a useful starting point before committing to a paid plan.

Either way, once you’ve seen your service area as a heatmap rather than as a single number, you can’t unsee it. That clarity is the point.

Internal links to add:

how-google-maps-rankings-work
why-your-competitor-ranks-higher-on-google-maps
how-reviews-affect-google-maps-rankings
the-best-categories-for-google-business-profiles

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