How customers find local businesses in 2026: the statistics

The way people choose a local business changed measurably in the space of a year. The share of consumers using AI assistants for local recommendations went from a rounding error to nearly half, Google's share of where reviews get read fell noticeably, and the bar for an acceptable star rating rose sharply. The figures below all come from published survey research, with the sample size stated so you can judge how much weight each deserves.

AI assistants are now a mainstream discovery channel

This is the fastest-moving change in local discovery, and the one most small businesses have not yet reacted to.

The practical consequence for a small business is that AI assistants answer questions about you by reading your website and your listings. If those are thin, out of date or contradictory, the assistant will either say so or say nothing — and neither outcome puts you on the shortlist.

Reviews remain the deciding factor, and the bar has risen

Review behaviour did not soften as AI use grew. It intensified.

That last figure is the one businesses most often miss. A strong review profile earned two years ago is not doing the work you think it is — recency is being actively checked, which makes a steady trickle of new reviews worth more than a historic pile of them.

How much consumers trust what they read

Trust levels determine whether a review profile converts or merely reassures.

Google's decline here is not a collapse — it remains comfortably the largest single platform. But a twelve-point drop in a year, with AI tools entering the top three, is a meaningful redistribution of where the decision actually happens.

The wider local search picture

Two frequently cited figures on local search intent, for context. These come from BrightLocal's compiled statistics resource rather than from the consumer survey above, so they are attributed separately.

What this actually means for a local business

Three consequences follow from the data above, and none of them requires believing anything the data does not say.

Your website is now read by machines as well as people

When 45% of consumers ask an AI assistant for a recommendation, the assistant is assembling its answer from your website, your listings and your reviews. It cannot recommend what it cannot read or cannot confirm. Clear, accurate, current information about what you do, where you operate and how to reach you is no longer only a conversion issue — it is a retrieval issue.

Review recency is a live constraint, not a nice-to-have

With 74% of consumers looking for reviews from the last three months, a review programme that produced results eighteen months ago is depreciating. This is the clearest argument for automating the request: asking every customer, reliably, is a process problem rather than a motivation problem, and processes that depend on someone remembering during a busy week do not survive.

The rating threshold has moved

Nearly doubling — from 17% to 31% — in the share of consumers who filter at 4.5 stars means the cost of a handful of unanswered negative reviews rose sharply in a single year. Responding to reviews and generating a steady flow of new ones both matter more than they did.

If those sound like process problems rather than marketing problems, that is the point. Each one is a workflow that runs reliably or does not run at all — which is exactly the kind of thing worth automating with the tools you already pay for.

Methodology and limitations

Sources

• BrightLocal — Local Consumer Review Survey 2026 (2026)Published 11 February 2026. Survey of 1,002 US adult consumers conducted via SurveyMonkey.
• BrightLocal — Local SEO Statistics (2026)A compiled statistics resource maintained by BrightLocal.