Local SEO and Review Statistics, With Sources
What homeowners actually do with reviews, star ratings and AI search before they call a contractor. Every figure links to the study and states the sample.
Two organisations publish original local search research every year and put their methodology on the page. Almost everything else you will read on this topic is those two studies, rewritten, with the sample size dropped and the numbers rounded in whichever direction suited the writer.
This page goes back to the primary sources. Both are named, both are linked, both state who they asked and when.
The two are BrightLocal’s Local Consumer Review Survey, which asks consumers what they do, and Whitespark’s Local Search Ranking Factors report, which asks practitioners what moves rankings. They answer different questions and the difference matters, so they are kept in separate sections below.
What consumers do with reviews
All figures in this section are from the BrightLocal Local Consumer Review Survey 2026, published 11 February 2026. Sample: 1,002 US adults on a SurveyMonkey representative panel, split 18-29 (22%), 30-44 (25%), 45-59 (28%), 60+ (25%).
97% of consumers read reviews for local businesses. 41% say they always read them when browsing, up from 29% the year before.
Star rating thresholds have tightened sharply in one year:
| Threshold | 2026 | 2025 |
|---|---|---|
| Care about star ratings at all | 92% | — |
| Will only use a business rated 4.5 or higher | 31% | 17% |
| Require 4 stars minimum | 68% | 55% |
| Will only use a perfect 5.0 | 10% | — |
The 4.5 threshold nearly doubling in twelve months is the finding to act on. A 4.2 average that was comfortable last year now sits below the bar for almost a third of the people reading it.
Volume still gates you. 47% will not use a business with fewer than 20 reviews. Only 9% are willing to work off five reviews or fewer. If you are sitting on eleven reviews, that is the constraint to fix before anything else, and how many reviews you actually need to rank is a separate question from how many you need before a homeowner will call.
Recency is now a harder filter than volume
- 74% look for reviews written in the last three months
- 44% want reviews from the last month
- 32% expect reviews from the last two weeks, up from 20% in 2025
- 18% only trust reviews from the last week
A foundation repair company with sixty five-star reviews, none newer than 2024, reads as a business that may not exist any more. Steady beats bulk. Twelve reviews a year forever is worth more than forty in one push and then silence.
Review replies, asking, and incentives
These moved to their own page, because the survey carries far more on them than fits here: response speed expectations, the penalty for templated replies, how many people write a review when asked, and the April 2026 Google policy change that makes a common review-request phrasing non-compliant.
The detail is in the online review statistics.
The one figure worth repeating here: 89% expect the owner to respond to reviews, and 42% are unlikely to use a business that never does.
AI search moved faster than anyone planned for
The largest single-year change in the survey: 45% now use ChatGPT or similar to find local business recommendations, up from 6%. AI is now the third most common recommendation source behind Google and Facebook, 82% read AI-generated review summaries, and 23% decide from the summary alone.
Read the 45% as direction rather than precision. It is self-reported use in a 1,002-person panel, and that is the kind of question people over-answer.
The independent data on what AI search does to clicks, which is a different and better-measured question, is in the AI search statistics.
What consumers do after reading good reviews
- 54% visit the business website
- 37% read more reviews
- 31% visit the business in person
- 20% contact the business
- 34% are ready to buy immediately, while 66% carry on researching
The 54% is the join between two things usually discussed separately. Reviews do not book the job. They send the homeowner to your website, and what your website does with that visit decides whether anything happens. Winning the Map Pack and then handing traffic to a slow site is paying for a lead and dropping it at the door.
What practitioners say moves rankings
From the Whitespark 2026 Local Search Ranking Factors report: 47 local search experts completed a two-hour survey scoring 187 individual factors.
Two placements worth quoting exactly:
- Proximity of address to the point of search ranks #2 for local pack and maps impact, with a score of 225.
- Recency of reviews ranks #11, with a score of 164.
Proximity sitting at the top is the uncomfortable one, and it is why you may not be showing up in the map pack for a town twenty minutes away no matter how good your profile is. You cannot optimise your way out of geography. You can only decide whether the surrounding towns are worth a real location or not worth chasing.
Note what this survey is: expert opinion, scored and aggregated. It is the best available read on a ranking system nobody outside Google can observe directly. It is not measurement, and Whitespark does not claim it is.
Two Whitespark numbers we are not repeating
Several sites summarising the 2026 report state that ranking factors break down as Google Business Profile signals 32%, review signals 20%, on-page 19%, link signals 15%, and that proximity accounts for roughly 55% of ranking decisions.
We read the report page. Those percentages are not stated in its text. The report presents factor group weightings as a chart and gives individual factors ranked scores, which is where the #2 and #11 placements above come from. The tidy percentage breakdown appears to have been produced downstream by someone reading the chart, and the 55% proximity figure does not correspond to anything we could locate.
If you have cited those percentages, they may still be roughly right. They are not quotable from the source, which is a different thing.
What none of this tells you
Every figure here describes a national average across all local business categories. Nail salons, dentists and personal injury lawyers are in the same 1,002 responses as home services.
Mold remediation does not behave like a restaurant. Your customer is not browsing, they are dealing with a problem, and their tolerance for a thin review profile is probably different from the average in both directions. Nobody has published a review survey segmented to the trades at a sample size worth quoting.
So use these as the shape of consumer behaviour, not as targets. The question worth asking is not “do I have 20 reviews” but “how does a homeowner in my county pick between me and the two companies above me.” Occasionally the honest answer is that local SEO for contractors is not your constraint at all, and your phone is.
Using these statistics
Both studies are linked above and both are free to read. If you are citing a figure, cite BrightLocal or Whitespark directly rather than this page. They did the work.
What this page adds is the source audit around them, including the two widely-repeated Whitespark percentages that do not appear in the report.