Reputation Management Statistics (2026): Reviews, Search, and AI

Reputation management is easier to plan when you know what the research says about how people actually use reviews, search, and AI tools to choose a business. This page collects statistics from sources we opened and read directly: BrightLocal's Local Consumer Review Survey 2026, the Medill Spiegel Research Center at Northwestern University, a Harvard Business School working paper, and the Federal Trade Commission. Each figure is stated as the source states it, with who published it and what population it covers. We did not round numbers up, and we left out anything we could not verify.

One note on how to read them. Survey numbers describe what people say they do, not a guarantee about any single business. The BrightLocal figures come from a survey of 1,002 US adult consumers. The Spiegel and Harvard studies measured purchases and revenue in specific settings. Use the numbers to understand direction and scale, not to predict your own results.

Reviews and purchase decisions

BrightLocal's Local Consumer Review Survey 2026, a representative panel of 1,002 US adult consumers surveyed through SurveyMonkey, found that 97% of consumers read reviews for local businesses. In 2026, 41% said they "always" read reviews when browsing for businesses, up from 29% the year before. The average consumer uses six different review sites when choosing a business.

Reviews also lead to spending. BrightLocal reports that 93% of consumers have made a purchase after reading reviews, and 27% have spent more than $1,000 that way. It also reports that 85% of consumers are more likely to use a business after reading positive reviews, while negative reviews make 77% less likely to choose one.

Reviews are not a perfect guide. The same survey found that 70% of consumers have made a purchase they regretted after reading reviews, and 14% regretted spending more than $1,000. That is part of why shoppers care so much about whether a review looks real.

Older academic work points the same way. The Medill Spiegel Research Center found that the purchase likelihood for a product with five reviews is 270% greater than for a product with no reviews, and that the marginal benefit of additional reviews begins diminishing rapidly after the first five. It also found that conversion rates rose 190% when reviews were displayed for a lower-priced product and 380% for a higher-priced product. Spiegel notes these findings were first published in 2017.

A Harvard Business School working paper by Michael Luca, which used Yelp ratings and Washington State Department of Revenue data, found that a one-star increase in Yelp rating led to a 5 to 9 percent increase in restaurant revenue. The paper reports that the effect was driven by independent restaurants, and that ratings did not affect restaurants with chain affiliation. This is one study of one industry in one state, so treat it as evidence of how much a rating can matter, not as a rule for every business.

Star ratings, review count, and recency

BrightLocal's Local Consumer Review Survey 2026 found that expectations are rising. In 2026, 31% of consumers said they will only use a business with 4.5 stars or more, up from 17% the previous year. Sixty-eight percent said they will only use a business with four or more stars, up from 55% in 2025. Overall, 92% of consumers care about star ratings, but only 10% said they will use only five-star businesses.

The Spiegel Research Center found a similar pattern at the top of the scale: across product categories, purchase likelihood typically peaks at ratings in the 4.0 to 4.7 range and then begins to decrease as ratings approach 5.0. A perfect score can look too good to be true.

Volume and freshness matter as well. According to BrightLocal, 47% of consumers will not use a business that has fewer than 20 reviews, and only 9% are willing to use one with five or fewer. Seventy-four percent only care about reviews written in the last three months, and 32% look for reviews written in the last two weeks, up from 20% last year.

The most important factor in how consumers judge a review, at 56%, was that it is backed up by other reviews with similar sentiment. A single glowing or damaging review matters less than a consistent pattern.

Review responses

How a business answers reviews is part of its reputation. BrightLocal found that 89% of consumers expect business owners to respond to reviews, and 80% said they are likely to use a business that responds to all of its reviews. Forty-two percent said they are unlikely to use a business that ignores its reviews entirely.

Speed and tone count too. Nineteen percent of consumers expect a response on the same day they post, up from 6% last year, and 81% expect to hear back within a week. Templated or generic replies make 50% of consumers unlikely to choose a business.

Trust and where people look

BrightLocal's Local Consumer Review Survey 2026 reports that 49% of consumers place as much trust in the views of strangers online as they do in people they know. It also reports that Google's share as a review source fell from 83% in 2025 to 71% in 2026, while Apple Maps nearly doubled from 14% to 27%. Facebook, Tripadvisor, the Better Business Bureau, Trustpilot, Healthgrades, and Angi all saw increased use over the last 12 months, according to the survey.

The practical point is that a reputation now lives across many sources. A business with a strong Google profile and an unmonitored Facebook page or a damaging old article can still lose the customer who checks more than one place.

AI answers

The biggest change in the BrightLocal's Local Consumer Review Survey 2026 is AI. It found that use of ChatGPT and other generative AI tools for local business recommendations rose from 6% last year to 45%, making AI the third most popular source of recommendations. Forty percent of consumers said they trust AI platforms to provide business recommendations, compared with 32% who do not, and 42% trust them as much as traditional reviews.

AI review summaries are widely read. Eighty-two percent of consumers read them, and 23% said they would be happy to read only that summary to guide a decision. The survey's authors note that summaries can obscure details like photos, videos, and review recency, which may make fake reviews harder to spot.

What this means for reputation work: when a person asks an AI tool about you, the answer is built from sources that already exist, such as reviews, articles, listings, and your own pages. Accurate, well-sourced information about you is part of the work.

Fake reviews and the rules

Consumers want accountability. BrightLocal's Local Consumer Review Survey 2026 found that 97% of consumers think businesses should face some kind of punishment for fake reviews, and 63% think review platforms should be responsible for detecting and preventing them. The survey also reports that 11% of consumers were offered an incentive to write a positive review, and it states that Google blocked 240 million fake or policy-breaking reviews in 2024.

The legal picture changed in 2024. The Federal Trade Commission announced its final rule on fake reviews and testimonials in August 2024, and the FTC's business guidance states that the rule went into effect on October 21, 2024. The FTC said the Commission vote to approve the final rule was 5-0. The rule prohibits creating, selling, or buying fake reviews, buying positive or negative reviews, certain undisclosed insider reviews, misrepresenting company-controlled review websites as independent, and review suppression through unfounded legal threats, intimidation, or certain false public accusations. It authorizes courts to impose civil penalties for knowing violations.

The FTC's staff guidance also answers a question we hear from business owners. It states that advertising agencies, public relations firms, review brokers, and reputation management companies are not immune from liability under the rule. It also says the rule does not provide a private right of action, and that the rule does not prohibit offering incentives for reviews as long as there is no express or implied requirement that the reviews express a particular sentiment. The FTC guidance adds that failing to disclose incentives can still violate the FTC Act, and BrightLocal notes that offering incentives for reviews violates the guidelines of platforms like Google and Yelp, so check each platform's policy first.

What the numbers mean for your reputation

Read together, the research points to four practical ideas. First, people look at reviews before they buy, and a rating, a count, and recent activity all affect that decision. Second, a business is judged across many places, including AI tools, so a damaged source can travel. Third, accuracy and authenticity matter more than perfection, which is why fake reviews are both a legal risk and a trust risk. Fourth, a documented response and a steady stream of honest customer feedback do more than a one-time cleanup.

If you are not sure where you stand, the first step is to see what people and AI tools see when they search for you. Our free reputation audit shows that picture before any decision about what to do next.

About these sources

The BrightLocal figures come from its published 2026 survey. BrightLocal invites others to use its findings with attribution, and we have cited the page. The Spiegel Research Center page describes research first published in 2017. The Harvard Business School paper is a working paper by Michael Luca, revised in March 2016, so its findings reflect Yelp and restaurant data from the period it studied. The FTC pages are the agency's own announcement and staff guidance. We will update this page as newer data from these publishers becomes available.