AI local search favors businesses with lots of recent Google reviews

A Revfer study of 480 local prompts across 40 U.S. cities found that ChatGPT, Gemini, Perplexity and Google’s AI tools were most likely to recommend businesses with higher review counts, strong ratings and fresh reviews. The findings suggest local businesses still need real review momentum to surface in AI-driven search results.

Why it matters: - Local businesses are now being judged by AI assistants as well as traditional search results. - Revfer’s findings suggest review volume, star rating and review recency can influence whether a business gets recommended in AI answers. - That raises the stakes for reputation management, especially for small businesses that depend on local discovery.

What happened: - Revfer, an Ashland, Massachusetts AI software company, tested ChatGPT, Google Gemini, Perplexity, Google AI Mode and Google Search. - The company asked the same plain-language local question across 40 U.S. cities and 12 industries, including hair salons, restaurants, plumbers and dentists. - The study covered 480 questions, about 2,900 answers and more than 16,000 business recommendations collected Nov. 5-7, 2026. - For each query, the top 20 businesses in Google Maps served as the comparison pool.

The details: - Google review count was the strongest predictor of being recommended across every AI tool tested. - Businesses with 250 or more reviews were about six times as likely to be named by ChatGPT as businesses with fewer than 50 reviews. - Rating mattered most for ChatGPT and Google’s AI tools. - Among businesses with 250 to 499 reviews, ChatGPT named 29% of those rated 4.7 stars or higher, versus 7% of those below 4.7 stars. - Gemini and Perplexity leaned more heavily on review volume than on rating. - Review freshness mattered for every tool. - ChatGPT named about 20% of businesses whose latest review was less than a week old, compared with under 2% of businesses whose latest review was a year or more old. - More than half of the businesses in Google Maps’ top 20 were never named by any AI tool. - Businesses named by three or more tools had a median of 488 reviews and a latest review 5.5 days old. - Businesses never named had a median of 101 reviews and a latest review 22 days old. - Both groups had the same median rating of 4.8 stars. - Replying to reviews, posting photos and adding booking links mattered little once review volume and freshness were included. - Having a website was linked to higher odds of being named by Gemini. - ChatGPT and Google AI Mode leaned toward independent businesses over chains. - The published results do not name individual businesses. - The full analysis is on Revfer’s blog and the aggregate results are available at Zenodo.

Between the lines: - The study is observational, so it identifies patterns rather than proving causation. - The results suggest AI systems may be amplifying businesses that already have strong customer feedback signals in Google Maps and Google reviews. - Fresh review activity appears to matter as much as, or more than, older accumulated reputation in some cases.

What’s next: - Local businesses that want to appear in AI recommendations may need to prioritize getting more reviews and keeping recent reviews flowing. - Businesses may also need to pay closer attention to how their Google review profile compares with nearby competitors. - Revfer says the findings are available for review, with no individual business disclosed in the published data.

The bottom line: - AI local search is not discovering hidden gems. - It is mostly surfacing businesses that customers have already reviewed often, well and recently.