Why the same query produces different local results
Two people can see different Google Maps results because each search is evaluated from a location: the device location, a stated place in the query, or Google’s estimate of where the searcher is. The same words are not the same search if the coordinates differ.
Google’s local ranking help defines distance as how far each business is from the customer who is searching, and says that if a customer does not share a location, Google uses what it knows about their location. Relevance and prominence still apply. The candidate set still changes when the searcher moves. Source: Tips to improve your local ranking on Google.
“Dentist near me” and “dentist in Toowong” are both local. They are not the same search. A pack you see in the clinic car park is not the pack a parent sees from school pickup three kilometres away. Maps, the Local Pack on Search and ordinary organic results can also differ from each other for the same words. That Search-versus-Maps distinction is explained in how Google local search works. A city-named query can also behave differently from “near me”; see why city keywords and near-me searches diverge.
If two people are in the same place and still disagree, start with why different people see different Maps rankings. Personalisation is a separate diagnostic from the geographic effect that makes a “we’re number one” claim from the shop Wi‑Fi fail a customer five kilometres away.
Distance, relevance and prominence: what you can influence
Proximity, in Local SEO usage, is the industry name for the geographic nearness between the searcher (or the location implied by the query) and the business. Google’s current Business Profile help page uses the word distance for that idea. Distance is calculated from the business’s known location — typically the verified address for a storefront, or the location model Google uses for a service-area profile — relative to the searcher or the place in the query.
You cannot type a “distance score” into Google Business Profile. You can only describe where the business actually is and where it actually serves customers. You cannot “set proximity” by drawing a larger service-area shape. Google’s representation guidelines treat oversized service areas as an accuracy and policy issue, not as a documented ranking lever.
The closest business does not always rank first. Distance is one of three documented factor families. Relevance (how well the profile matches the query) and prominence (how well-known the business is, including signals such as reviews and links that Google mentions in the same help article) can outweigh a small distance gap. Google also says there is no way to pay for a better organic local ranking.
A specialist clinic two streets farther away can outrank a nearer generalist for a specific service query. A restaurant with a weaker category match can lose to a more precise listing even when it is closer. Treat “nearest wins” as a tendency in many Maps results, not as a rule. The documented split is in Local SEO ranking factors.
Rankings can change a few streets away because local competition is dense and the distance differences between candidates are small. In a high-street cluster, moving the searcher 400 metres can reorder three similar businesses. As the searcher moves farther away, your listing usually becomes a weaker distance candidate relative to businesses nearer that searcher. The fade is not a smooth circle. Roads, competitor locations, category match and prominence distort it.
Competitors change across an area because the set of businesses close enough and relevant enough for the query changes with the search point. The café that beats you on the high street may not appear at all from an industrial estate. Compare the listings that actually appear for the same query from the same points. How to compare without imitating spam is in why a competitor ranks higher on Google Maps.
What you can influence: honest address or service-area configuration; categories and services that match the work; website pages that explain coverage; genuine reviews; citations that do not contradict the profile; and whether a weak suburb deserves unique content or is simply outside a realistic catchment. What you cannot control: where the searcher is standing; how many eligible competitors sit between you and that searcher; or Google’s unpublished ranking details.
One business across five search locations
Illustrative example — not client data. Riverside Physiotherapy sits on a suburban high street. Five people search “physio” on the same morning:
| Searcher | Distance from clinic | Maps position seen |
|---|---|---|
| A · outside the clinic | 0.4 km | 1 |
| B · neighbouring streets | 1.1 km | 2 |
| C · next suburb | 2.4 km | 4 |
| D · across the river | 4.8 km | 9 |
| E · industrial estate | 7.2 km | Not found in the checked list |
If the owner only searches from location A, the report says “we rank first”. Customers at D and E never saw that. The table is a teaching device. Rank labels are numerals so the pattern is usable without relying on colour. Real markets will not follow these distances exactly.
Why expanding a service area does not move your business
Google does not document a larger service-area shape as a way to rank farther from the business. The service area is supposed to describe where the business actually serves customers.
Google’s representation guidelines say service-area businesses should have one profile for the central office or location with a designated service area, and that the overall service area should not extend farther than about two hours of driving time from where the business is based, though larger areas may be appropriate for some businesses. Oversized areas are an accuracy and policy issue, not a documented ranking lever. Source: Guidelines for representing your business on Google.
Drawing a shape over suburbs you will not attend does not move the business closer to those searchers. It can create mismatch between the profile, the website and operations. Setup rules are in Google Business Profile for service-area businesses.
How to measure visibility across your actual catchment
Geographic visibility can be measured by repeating the same query from a documented set of points across the area you actually serve, then recording position, pack presence or “not found” at each point.
A geo-grid is the usual industry method: centre, radius, grid size, query, and a result in every cell. Colour can help scanning. It must not be the only information. The grid is a sample, not Google’s internal map, and not a lead forecast. Keep settings consistent if you want to compare months.
Traditional rank checking is unreliable for Maps because it usually records one location: the rank tracker’s default city, the office IP, or the owner’s phone. Desktop “incognito in the city name” still has a location. VPN endpoints are not customers. Rankings remain useful as directional evidence when you record the query, the coordinate, the date and the interface.
Choose grid size and radius that match the catchment you can actually serve — see grid size and radius. The measurement method is in how to track Google Maps rankings and how to measure Google Maps visibility.
How can Local Falcon help visualise this?
Local Falcon can visualise geographic ranking differences by running a geo-grid scan: the same query checked from many coordinates, then displayed as a scan report with a ranking at each point. Documented controls include grid sizes from 3×3 to 21×21 and a scan radius. That replaces five manual phone checks with a stored configuration you can repeat.
The visualisation is still a sample of points, not Google’s internal map. Read the rank numbers. Use colour only as a secondary cue.
Local Falcon geo-grid scans are one way to plot those points. Affiliate link.
What to do about weak areas
Start by deciding whether the business can genuinely serve customers in the weak area. If it cannot, a new location page or a wider service-area setting would misrepresent the offer. If it can, compare the same query from the same coordinates and note which businesses appear instead.
Check facts you can change: whether the profile accurately describes the business, whether the linked page explains the relevant service and coverage, and whether contact information is consistent. Distance from a customer is not a setting you can optimise by inventing another address.
Use a location or coverage page only when it adds useful, true information. Keep the geo-grid settings stable, record changes, and judge the pattern over several comparable scans. A better position in one cell does not establish that a particular edit caused the change.
- Define the catchment you will honour, including exclusions.
- Measure the same query from points inside that catchment.
- Inspect which competitors occupy the weak cells.
- Strengthen service pages and, only when justified, a useful location or coverage page. See how to rank in multiple suburbs without spammy location pages.
- Do not open a fake address, stuff the name, or inflate the service area to “cover” a weak cell.
Geographic visibility checklist
- Write down the query you care about and the suburbs you will actually serve.
- Check that query from at least several customer locations, not only from the premises.
- Record date, interface (Maps app, desktop Maps, Search pack) and approximate search point.
- Separate “not in the pack” from “the profile does not exist”.
- Note which competitors occupy the weak points — they may differ from the high-street set.
- Confirm the service area on the profile matches operations, not a wish-list radius.
- Confirm the website explains coverage without inventing extra offices.
- If you use a geo-grid, keep centre, radius, grid size and query stable between scans.
- Judge trends across the grid, not one green cell next to the shop.
- Do not create a fake location to close a distance gap.
Sources and further reading
- Google Business Profile Help: Tips to improve your local ranking on Google
- Google Business Profile Help: Guidelines for representing your business on Google
- Local Falcon: Local rank tracking
See Your Rankings Across Multiple Locations
A geo-grid scan can show how the same query performs from many coordinates so you are not relying on one phone’s Maps result.
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Want ranking factors kept separate from distance myths?
Google documents relevance, distance and prominence. Treat everything else as observation until you can support it.
Read local ranking factorsPublished by Otepsphere
Published by Otepsphere, founded by Joseph Enmanuel. Learn about Otepsphere and its approach to local SEO.