Local Rank Tracker
See exactly where you rank on Google Maps across a grid of points, not a single averaged number.
A local rank tracker records your position in Google Maps results for a keyword, measured from many geographic points rather than one. The output is a grid heat map showing where you appear and where you disappear across your service area.
What it does
Local rank tracking answers a question ordinary rank tracking cannot: not “where do I rank?” but “where do I rank from where my customers are standing?” Google Maps results are calculated partly from the searcher’s physical position, so one business can hold first place for someone outside its front door and fail to appear at all for someone two miles away typing the identical phrase.
A conventional rank tracker returns a single number because it queries from a single point. That number is not wrong, but it is close to useless for a local business, because it describes one coordinate rather than a trading area. Owners routinely believe they are performing well on the strength of a position measured, in effect, from their own reception desk.
Grid scanning replaces the single point with a lattice. The same keyword is queried from dozens of coordinates spread across your catchment and each result is plotted. What comes back is a heat map: green where you sit near the top, fading through amber to red where you drop out entirely. The pattern is almost always more uneven than people expect.
That unevenness is the actionable part. A tight green core with a hard red edge means proximity is carrying your visibility and your profile strength is not extending it. A patchy map with strong and weak spots at similar distances means something else is happening — a competitor dominating one district, or a category mismatch that only bites for certain queries. Those two situations look identical in a single-number report and require completely different work.
Everything Local Rank Tracker gives you
Geo-grid scanning
Query one keyword from dozens of points across your service area and see the whole distribution of positions rather than one figure. Grid results are plotted as a heat map so weak districts are visible at a glance.
Configurable grid size
Choose anything from a 3×3 up to a 9×9 lattice. Denser grids give finer resolution in tight urban markets; sparser grids cover rural catchments without wasting scan volume.
Adjustable point spacing
Set the distance between grid points so total coverage matches your real trading radius. A city-centre restaurant and a regional contractor need very different spacing.
Scheduled automatic scans
Run scans weekly or monthly without anyone remembering. History accumulates from the first scan onward, which is what makes any later comparison possible.
Historical comparison
Replay any two dates side by side and see exactly which grid points improved, which slipped, and by how much. Movement is shown per point, not just as a changed average.
Competitor overlay
Run the same grid for a competitor and compare directly. A rival holding the centre while you fade at the edges separates a proximity problem from a profile problem immediately.
Multi-keyword tracking
Track a set of keywords per location. Businesses frequently rank strongly for one service phrase and poorly for another in the same streets, which one keyword would never reveal.
Average position metric
A single headline figure derived from the entire grid rather than one flattering point — honest enough to report, while the map remains the working document.
White-label grid exports
Export the heat map and its underlying per-point data as a branded PDF. Grid visuals are the artefact clients actually respond to in review meetings.
From setup to first result
- 1
Add the location
Enter the business exactly as it appears on Google so the scanner matches the correct profile rather than a similarly named competitor. Mismatches here quietly invalidate everything downstream.
- 2
Choose your keywords
Start with the three to five phrases that genuinely produce enquiries, not the terms with the largest national search volume. A grid for a keyword nobody buys from is a decorative report.
- 3
Set the grid size
A 5×5 or 7×7 grid covers most urban catchments. Larger grids consume scan volume without producing insight beyond the area you would realistically serve.
- 4
Set point spacing
Spacing determines total coverage. Use tight spacing in a dense city where results change within a few streets, wider spacing in a rural area where customers travel further.
- 5
Run the baseline scan
This is your reference point. Everything afterwards is measured against it, so run it before making any change you intend to claim credit for.
- 6
Schedule recurring scans
Weekly suits most businesses. Daily scanning mostly records normal fluctuation and tempts teams into reacting to movement that means nothing.
- 7
Review the map, not the average
The average gives you a headline. The map tells you which districts to work on — which is where the actual decisions get made.
What changes with Local Rank Tracker
- Measuring only from the business address
- Reacting to weekly fluctuation
- Using a grid far larger than the trading area
- Tracking too many keywords
- Changing grid settings between scans
- Averages conceal the real problem
- Proximity is a genuine ranking factor
- It separates cause from symptom
- It makes progress provable
- It reveals the edge of your reach
Averages conceal the real problem
A respectable mean position can hide four districts where you never appear at all. The mean is a reporting number; the map is a working document, and confusing the two is the most common mistake in local reporting.
Proximity is a genuine ranking factor
Because Google weighs distance between searcher and business, rank should vary across a city. Treating that variation as noise means misreading the single most predictable pattern in local search.
It separates cause from symptom
Fading evenly with distance is proximity. Fading in one direction only is competition or relevance. The two look identical in a single number and demand entirely different remedies.
It makes progress provable
Two grids months apart are the most persuasive artefact in local SEO reporting, because the change is visible rather than asserted. Clients who distrust position tables understand a heat map instantly.
It reveals the edge of your reach
The grid shows the practical limit of your visibility, which is genuinely useful when weighing whether a second location or a wider service area is justified.
It catches sudden losses early
A district turning red between scans is an early signal of a competitor change, a profile edit or a suspension — usually before enquiry volume drops enough for anyone to notice.
What it measures
- Position at each individual grid point
- Average position across the whole grid
- Share of grid points in the top three
- Change per point between any two scan dates
- Competitor position on the same grid
- Trend direction over the tracked period
What you get out of it
Stop guessing where you are weak
Replace an impression of “we rank okay” with a specific list of districts to work on.
Report something clients believe
Heat maps land where position tables do not, because the improvement is visually obvious.
Catch problems before the phone stops
Sudden red patches surface issues weeks before they show up in enquiry volume.
Justify local spend
Grid coverage gives a defensible reason to invest in one district over another.
Compare against real competitors
See exactly which rival owns the ground you are losing, keyword by keyword.
Build a record that compounds
Every scan adds to a history that makes next quarter’s comparison possible.
What Local Rank Tracker produces
Every output is exportable and white-label, with your branding and none of ours.
Geo-grid heat map
Position at every point, colour coded, for one keyword and one date.
Grid comparison
Two dates overlaid, showing per-point movement up or down.
Average position trend
The headline figure tracked over time for reporting.
Top-3 share
Proportion of grid points where you hold a top-three position.
Competitor grid
The same lattice run for a rival, directly comparable.
Branded PDF export
Everything above in a white-label document for clients.
Who uses Local Rank Tracker
Prove movement to clients with location-level evidence rather than a single national figure.
Compare visibility between sites and find the branches losing ground in their own city.
Give each franchisee their own numbers while head office keeps the estate view.
Find out where you actually appear before spending anything on improving it.
Get more out of it
- Set the baseline before you change anything. A grid run after your fixes cannot demonstrate that the fixes worked.
- Scan weekly, review monthly. Weekly data builds a usable trend; weekly decisions mostly chase noise.
- Track the keyword that produces revenue, not the one with the biggest volume.
- Always include points beyond your comfortable radius. A map that only covers where you already win is not telling you anything.
- Pair every grid with a competitor grid. Position without context tells you what happened but never why.
- Keep grid settings identical between scans, or the comparison is measuring different geography.
Measuring only from the business address
Proximity favours you most at your own location, so this reliably produces the best number you will ever see and the least useful one. It is the single most common reason businesses believe they are performing better than they are.
Reacting to weekly fluctuation
Positions move a place or two constantly. Sustained movement across multiple points over several scans is signal; anything less is noise, and acting on it usually means undoing something that was working.
Using a grid far larger than the trading area
Scanning points where you would never accept a job inflates the red area and makes the report look worse than the business actually is, which damages client confidence for no reason.
Tracking too many keywords
Twenty keywords per location produces a report nobody reads. Five tracked properly beats twenty tracked nominally, every time.
Changing grid settings between scans
Altering size or spacing invalidates the comparison, because you are no longer measuring the same geography. Lock the settings when you set the baseline.
Manually vs with Local Rank Tracker
| Doing it manually | With Local Rank Tracker |
|---|---|
| One position from one unnamed location | Position mapped across dozens of defined coordinates |
| No way to tell proximity from competition | Fade pattern distinguishes the two directly |
| Manual re-checking, inconsistently timed | Scheduled scans on a fixed cadence, building history |
| Screenshots clients quietly distrust | Grid visuals with the underlying data attached |
| No record of what changed after a fix | Before-and-after comparison per grid point |
| Competitor position unknown | Same grid run for rivals, directly comparable |
- Confirm the profile the scanner matched is genuinely yours
- Pick three to five revenue-producing keywords
- Set a grid that covers where you actually take work
- Run and save the baseline scan before any optimisation
- Add your two strongest competitors to the same grid
- Schedule weekly scans and diarise a monthly review
- Lock the grid settings so comparisons stay valid
Local Rank Tracker is 1 of 42 tools you get
Every tool below is on the same plan at the same price. Nothing here is an add-on, an upgrade, or a separate subscription.
Rank & Visibility
Manage Profiles
Posts & Automation
Reviews & Reputation
Reports & White-Label
Others vs Local SEO Tool
How the usual pricing and packaging in this category compares with ours.
“Other tools” describes the common pattern across the category, not any one named product.
Local Rank Tracker is included on every plan
One flat price per location covers all 42 tools. There is no higher tier, no add-on, and no per-seat charge.
- All 42 tools on every plan
- No per-seat charges
- No setup fee and no contract
- Cancel or change locations any time
Local Rank Tracker questions
What is a local rank tracker?
A tool that records your position in local search results for chosen keywords. Unlike a standard rank tracker, it accounts for the searcher’s location, because Google Maps results change with physical distance between the searcher and the business.
What is a geo-grid scan?
A scan that queries the same keyword from many coordinates across an area and plots the position returned at each one. The result is a heat map of visibility across your catchment rather than a single number.
How is this different from normal rank tracking?
Normal rank tracking reports one position from one location. Grid scanning reports the distribution across a whole area, which is the only meaningful measure when results are calculated partly from where the searcher is standing.
Does it track Google Maps or organic results?
Map pack and local results, which is where proximity applies. Organic web positions are a separate system with different inputs, and most local businesses need both tracked.
What grid size should I use?
A 5×5 or 7×7 grid covering your realistic catchment suits most businesses. Larger grids consume scan volume without producing insight beyond the area you would actually serve.
What point spacing is right?
Tight spacing in dense urban markets where results change within a few streets; wider spacing for rural or regional coverage where customers travel further to reach you.
How often should I scan?
Weekly for most businesses. Daily scanning largely records normal fluctuation and encourages reacting to movement that means nothing.
Why does my rank differ from what I see when I search?
Your own searches are personalised by history, account and precise GPS position. A grid scan queries clean, unpersonalised results from defined coordinates, which is the more honest measure.
Can I track competitors on the same grid?
Yes, and you should. A competitor holding the centre while you fade at the edges tells you whether you have a proximity problem or a profile problem.
How many keywords can I track per location?
As many as you need, though five well-chosen terms per location produce a report people actually act on. Twenty produces one nobody reads.
Does this work for service-area businesses?
It works, but the Service Area Rank Tracker is the better fit where there is no public address, because it measures across a defined territory rather than around a single pin.
How long before I see movement?
Profile changes such as categories and services often show within days. Review and citation work typically takes weeks. Either way, the grid is what makes the change visible.
Does the average position matter?
It is useful for reporting a headline and tracking direction over time. It should never be the number you make decisions from — the map is.
Can I export grids for clients?
Yes, as branded PDF reports containing the heat map and the underlying per-point data, with no platform branding.
Is the export white-label?
Yes. Your logo and colours throughout, which is why agencies use grid exports as their primary reporting artefact.
What causes a district to suddenly go red?
Usually a competitor improvement, a change to your own profile, or a suspension. Checking recent profile edits is the fastest first diagnostic.
Does grid position translate into calls?
Not automatically. Grid position measures visibility. Whether that visibility converts depends on reviews, photos and how complete the profile looks when someone taps it.
Can I track multiple locations?
Yes. Each location gets its own grid, keywords and history, and results can be rolled up across the estate for reporting.
Do scans use my Google account?
No. Scanning queries public search results from defined coordinates and does not require access to your Business Profile.
Is historical data kept if I add keywords later?
Existing keyword history is preserved. A newly added keyword starts its history from its first scan, which is why setting a full baseline early matters.
Every tool. One price. No add-ons.
$5.33 per location per month gets you Local Rank Tracker and the other 41 tools.