Tom McSherry

Original Australian and New Zealand local SEO data

Local SEO research: what Google Maps actually shows your customers

Research for local business owners who need to know where they are visible, what is linked with better positions and which SEO claims the data does not support.

480

local search grids

12,000

search locations

20

industries

24

AU/NZ cities

2026 Google Maps study

One ranking check does not show your local market

Google Maps results changed across the 25 fixed search points in each grid. The median grid returned 65 different businesses, about 20 reached the top three somewhere, and the businesses visible near the office were not always the businesses customers saw across town.

The study also found a positive relationship between review count and position in 17 of 20 industries. Average star rating produced a different result: it had no consistent ranking relationship in this sample, although rating can still affect which business a customer trusts and calls.

What a business owner should do with this

  • Measure a market, not one spot. Check valuable searches across the areas that produce customers.
  • Keep review growth moving. More reviews were linked with better positions in most industries, without creating a magic target.
  • Benchmark locally. The same industry behaved differently in different city panels.
  • Connect rankings to leads. Coverage only matters when it produces qualified calls, bookings or sales.

Five findings worth using

The plain-English result

One rank is not your ranking

The result changes with the customer's location. A check from the office can hide weak coverage nearby.

Close helps, but is not enough

Even within 1 km, 67% of recorded appearances were outside the top three.

Your competitor set changes

A typical grid returned 65 businesses, while about 20 reached the top three somewhere.

Reviews remain important

Review count was positively linked with position in 17 of 20 industries.

National averages can mislead

The sampled footprint was larger in the extension panel for 19 of 20 industries.

Practical explainers

Turn the findings into better marketing decisions

These guides answer the questions that affect reporting, reviews, service areas and competitive strategy. Every article points back to the full method and keeps the claim inside what was measured.

Industry comparisons

What the same study means for six types of business

These articles compare city panels, review patterns and business decisions for clinics, trades, workshops and agencies. The figures are sample benchmarks, not promised ranking radii.

Clinics

Physio Google Maps rankings: what changed across 24 cities

The physio result was much more local in the higher-competition city panel than in the extension panel. Here is what that means for clinic reporting, reviews and multi-location decisions.

Read the comparison

Clinics

Dentist Google Maps rankings: what 24 cities showed

Dental practices had a much larger sampled top-three footprint in the lower-competition city panel, and review count was positively linked with position in 23 of 24 grids.

Read the comparison

Psychology

Psychologist Google Maps rankings: what 24 cities showed

Psychology practices had a smaller top-three footprint in the higher-competition panel. Review count had a weak but positive relationship with position, not a zero result.

Read the comparison

Trades

Roofer Google Maps rankings: what changed across 24 cities

Roofers had a wider sampled top-three footprint than many premises businesses, but the result changed sharply between city panels and review count was positively linked with position.

Read the comparison

Automotive

Mechanic Google Maps rankings: what 24 cities showed

Car servicing results were much more local in the higher-competition panel. Review count was positively linked with position in 23 of 24 grids, although the relationship was modest.

Read the comparison

Real Estate

Real estate Google Maps rankings: what 24 cities showed

Real estate agency visibility was much more local in the higher-competition panel, while review count was positively linked with position in 20 of 24 grids.

Read the comparison

Shareable findings

Charts a local business owner can understand

Download and share these graphics with attribution and a link to the study. Each one states the buyer-level lesson and keeps the sample or limitation on the image.

One Google Maps rank check can hide most of the local market because 67 percent of recorded appearances within one kilometre were outside the top three
Why one rank check is misleading SVG
The median grid returned 65 businesses and 20 reached the top three somewhere
Your competitors change across town SVG
Top-three share among returned business appearances fell from 32 percent within one kilometre to 8.1 percent beyond eight kilometres
Visibility changes with distance SVG
More reviews were associated with better Google Maps positions in 17 of 20 industries
Review count and visibility SVG
Review count was positively linked with position in most industries while average rating had no consistent ranking relationship
Review count is not star rating SVG
The sampled top-three footprint was larger in the extension panel for 19 of 20 industries
Same industry, different market SVG
On the median grid, roughly three in ten returned businesses reached the top three somewhere
Most returned businesses never won SVG
The honest study sample was 480 local search grids covering 12,000 search locations, 20 industries and 24 cities
The honest sample size SVG

In validation

What ranks in ordinary local organic results?

The next study covers ordinary organic results rather than Google Maps. Its pilot exposed problems in city context and automated site classification, so no ranking-factor conclusion is being published from that capture.

The rerun will use exact city context, checked labels, repeat captures and comparisons inside each search result. The result will be published only when the method can support a conclusion useful to a buyer.

How to judge an SEO study

Publication standard

What the research has to earn

  • A decision a business owner recognises. The result must affect leads, customers, spend, reputation or location planning.
  • An honest unit of evidence. Repeated sightings of one business are not separate markets.
  • A claim that matches the measurement. Association is not sold as causation, and a sampled point is not sold as a radius.
  • Visible limitations. The page says what the data excluded and what it cannot answer.
  • A practical next step. The reader should know what to measure or change without being sold a magic number.

Want to use the data in your own market?

Share the charts, challenge the method or ask what the findings mean for your locations. The point of publishing the work is to make better decisions, not to manufacture a ranking rule.

Contact Tom