97% of consumers read reviews for local businesses, according to BrightLocal’s 2026 Local Consumer Review Survey, the anchor dataset for these online review statistics. Habits are intensifying rather than fading: in 2026, 41% of consumers “always” read reviews when browsing for businesses, a huge jump from last year (29%).
What changed is where people read them and how strict they have become. The figures below cover star-rating and recency thresholds, the path from a review to a purchase, owner responses, and AI review summaries. They also track the fake-review removals Google, Trustpilot, Yelp, and Tripadvisor publish, and the US and UK regulators enforcing review rules.
Key Takeaways
- 47% of consumers won’t use a business with fewer than 20 reviews, so review volume works as a filter before quality does.
- Use of ChatGPT and other AI tools for local recommendations kept rising from 6% last year to 45% and became the third most popular source of business recommendations.
- Seven in ten (68%) will only use a business with four or more stars, up from 55% in 2025.
- 85% of consumers say positive reviews make them more likely to use a business, while 77% say negative reviews make them less likely.
- The majority of consumers (82%) read these review summaries to inform decisions, turning AI-generated summaries into a first impression businesses do not write.
- Trustpilot removed 4.5 million fake reviews, amounting to 7.4% of the total number of reviews submitted in 2024.
Editor’s Choice
- Review readership: 97% of consumers read reviews for local businesses.
- Google’s share of review use: dipped from 83% in 2025 to 71%.
- Four-and-a-half-star floor: 31% of consumers will only use a business with 4.5 stars or more.
- Google Maps removals: over 292 million policy-violating reviews blocked or removed in 2025.
- Yelp review volume: 22 million reviews were contributed to Yelp in 2025.
- FTC penalty ceiling: civil penalties of up to $53,088 per violation under the Consumer Review Rule.
How Many Consumers Read Online Reviews?
These online review statistics draw on 12 platform and regulator records and 9 survey sources, published between June 2017 and August 2026. Consumer behavior figures come from one US survey panel; platform totals are company-reported. Figures are updated when sources publish new editions.
- Reviews are a vital part of the business decision-making process, with 97% of consumers reading reviews online.
- In 2026, 41% of consumers “always” read reviews when browsing for businesses, a huge jump from last year (29%).
- Google, Facebook, and AI tools like ChatGPT are most commonly used for local recommendations.
- Consumers are increasingly turning to video-based sites for local recommendations.
- The consumer panel behind these figures was a representative panel of 1,002 US adult consumers via SurveyMonkey.
- Research from Which? found that 89% of people use reviews when researching a product or service, according to the CMA.
- Beyond Google, Facebook, Tripadvisor, BBB, Apple Maps, Trustpilot, Healthgrades, Yellow Pages, and Angi all saw increased usage over the last 12 months.
| Source for local recommendations | 2025 (%) | 2026 (%) |
|---|---|---|
| 83 | 71 | |
| Local news sites | 48 | 29 |
| Apple Maps | 14 | 27 |
| ChatGPT and other AI tools | 6 | 45 |
Source: BrightLocal Local Consumer Review Survey 2026
Google still leads by a wide margin, but review reading has spread across more surfaces than any one platform can own. Readers tracking the search side can compare these shifts with our search engine statistics.
What Percent of Consumers Read Online Reviews Before Buying?
97% of consumers read reviews for local businesses, and 93% of consumers have made a purchase after reading reviews. Reading is close to universal; what varies is how often people do it and how much weight a single review carries in the final decision.
What Star Rating Do Consumers Expect?
- 92% of consumers care about star ratings when choosing a business.
- In 2026, 31% of consumers will only use a business with 4.5 stars or more. This is up from 17% last year.
- Seven in ten (68%) will only use a business with four or more stars, up from 55% in 2025.
- Northwestern’s Spiegel Research Center reported that 5 stars is “too good to be true” in its analysis of retailer review data.
A near-perfect score clears most consumers, while a flawless 5.0 can invite suspicion.
Recent Developments
- August 2026: Yelp told shareholders that Yelp ratings and reviews recently began powering ChatGPT’s local experience in relevant categories.
- July 2026: The FTC’s final order imposes a $4 million judgment on TruHeight and its principals, which will be partially suspended after they pay $750,000.
- September 2026: The CMA’s case timetable lists the period from March 2026 to September 2026 for initial evidence gathering, with the next case update due in September 2026 on its review of investigations.
- April 2026: Amazon’s first Trustworthy Shopping Experience Report said that in 2025, Amazon’s legal actions led to the shutdown of more than 100 websites attempting to facilitate fake reviews and scams.
- April 2026: Google reported that its community shared over 1 billion reviews and suggested 80 million updates to business hours, contact information, and more in 2025, and announced new protections against review extortion scams on Maps.
How Many Reviews Does a Business Need and How Recent Should They Be?
- 47% of consumers won’t use a business with fewer than 20 reviews, and only 9% are willing to use one with five or fewer.
- 32% look for reviews written in the last two weeks, a huge jump from last year (20%).
Online Review Statistics on Consumer Trust Signals
- Consistency leads the list: the review is backed up by other reviews with similar sentiment (56%).
- Length matters least: the review is long and detailed (26%) and sits at the bottom of the ranking, so short reviews carry weight when they agree with each other.
| Rank | Trust factor | Consumers (%) |
|---|---|---|
| 1 | Backed up by other reviews with similar sentiment | 56 |
| 2 | Describes a positive experience | 46 |
| 3 | Posted within the last month | 44 |
| 4 | High star rating | 42 |
| 5 | Business owner has responded | 37 |
| 6 (tie) | High-quality spelling and grammar | 36 |
| 6 (tie) | Appealing photo or video attached | 36 |
| 7 | Reviewer is named, not anonymous | 35 |
| 8 | Other users liked or reacted | 30 |
| 9 | Reviewer has reviewed various businesses | 27 |
| 10 | Long and detailed | 26 |
Source: BrightLocal Local Consumer Review Survey 2026
Consistency beats eloquence in these rankings, which also explains why a cluster of similar fake reviews can be persuasive. Our consumer trust in technology statistics show the same pattern of trust built on repeated signals.
How Online Reviews Influence Purchases
- Consumers are more likely to do more research (66%) than make a purchase or booking (34%) after reading a positive review.
- 27% of consumers have spent more than $1,000 after reading reviews, with 13% spending over $5,000.
- 70% of consumers have made a purchase they later regretted after reading reviews, with 14% regretting spending over $1,000.
- At the top end, 2% regret spending more than $10,000 on a purchase made after reading reviews.
- Website visits after a positive review are up significantly from 32% in 2019, when BrightLocal last asked.
- Northwestern’s Spiegel Research Center found in a June 2017 report that displaying reviews can increase conversion by 270%. Our e-commerce conversion rate statistics cover the wider funnel.
Why it matters: Only 34% are ready to buy or make a booking after a positive review, so the review mostly sends shoppers somewhere else first. A thin website, a missing social profile or an outdated listing can stall a sale that the review itself already started, which is why the landing page matters as much as the rating.
How Many People Trust a Business More After Reading Positive Reviews?
85% of people are more likely to use a business after reading positive reviews, while negative reviews deter 77% of consumers. Overall trust has moved around: trust in reviews has fluctuated over time; it still sits at a significant 49% today, BrightLocal found.
How Fast Consumers Expect Businesses to Respond to Reviews
- 89% of consumers expect business owners to respond to reviews.
- Businesses that respond to every review are more likely to be used by 80% of consumers.
- 42% of consumers are unlikely to use a business that ignores its reviews entirely.
- Templated or generic responses make 50% of consumers unlikely to choose a business.
- Far fewer consumers are likely to use a business that responds only to positive (45%) or negative (47%) reviews.
- Same-day expectations climbed from 6% last year, and next-day expectations from 18% in 2025.
Response speed has become part of the product, and a generic template can do nearly as much harm as silence.
AI Recommendations and AI Review Summaries
- 40% of consumers trust AI platforms to provide business recommendations, against 32% who do not.
- 42% trust AI platforms as much as traditional reviews for local recommendations.
- 82% of consumers read AI-generated review summaries, with 23% willing to rely solely on these to make a decision.
- Use of ChatGPT and other generative AI tools for local recommendations has grown rapidly, rising from 6% last year to 45%.
- Yelp said a commissioned study found Yelp was the most organically cited home services discovery platform by LLMs in the fourth quarter of 2025, receiving 3.4x as many AI citations as the next closest platform.
Google Maps Fake Review Removal Statistics
- Google blocked 79 million inaccurate or unverified edits to help keep Business Profiles factual in 2025.
- Google also placed posting restrictions on more than 782,000 policy-violating accounts and removed over 13 million fake Business Profiles in 2025.
- For 2024, Google reported that it removed or blocked more than 12 million fake Business Profiles and placed posting restrictions on more than 900,000 accounts.
- Business owners can benchmark their own profiles against our Google My Business statistics.
| Google Maps moderation metric | 2024 | 2025 |
|---|---|---|
| Policy-violating reviews blocked or removed | more than 240 million | over 292 million |
| Policy-violating edits blocked or removed | more than 70 million | 79 million |
Source: Google, April 2025 and April 2026
By the numbers: Google’s systems blocked or removed over 292 million policy-violating reviews, while publishing more than 1 billion helpful reviews in 2025, compared with more than 240 million policy-violating reviews from 2024. Moderation volume is rising alongside review volume, so a flat fake-review share can still mean more fakes caught.
Yelp Review Filtering Statistics
- Nearly 500,000 suspected AI-generated reviews filtered out by Yelp in 2025.
- Yelp said recommended reviews averaged 446 characters because it requires written reviews with every star rating.
Trustpilot Fake Review Statistics
- Trustpilot’s removed share was 6.1% in 2023, so the fake share of submissions rose year over year.
- 90% of those 4.5 million were removed automatically by machine learning and generative AI tools.
- Implementation of this technology, used in conjunction with Trustpilot’s specialist teams, led to 53% more reviews being removed automatically than in 2023.
- Trustpilot is now home to over 300 million reviews.
| Trustpilot metric (2024) | Value |
|---|---|
| Reviews published | 61 million |
| Fake reviews removed | 4.5 million |
| Consumers writing a first review | 22 million |
| Reviews flagged by businesses | 601 thousand |
| Companies reviewed for the first time | 229 thousand |
| Reviews flagged by consumers | 92 thousand |
Source: Trustpilot Trust Report 2025
Key finding: Trustpilot removed 4.5 million fake reviews, amounting to 7.4% of the total number of reviews submitted in 2024, while Tripadvisor successfully safeguarded travelers from 2.7 million fraudulent reviews in 2024, or about 8.7% of its 31.1 million reviews. That is roughly one review in every twelve.
Tripadvisor Review Moderation Statistics
- Travelers shared nearly 80 million contributions in 2024, including 31.1 million reviews and 38.1 million photos and videos.
- Tripadvisor’s Trust and Safety team moderated 4.2 million (13.5% of all reviews) either before or after posting.
- ‘Review boosting,’ where business owners, employees, or anyone affiliated with a business posts positive reviews to boost their own rankings, accounted for the majority of fake review submissions (54% of total fraud in 2024).
- Around 9,000 businesses received warnings for engaging in incentivized reviews.
- 360,000 removed reviews were linked to employee incentive programs. More travel platform data sits in our Tripadvisor statistics.
Fake Review Laws and Enforcement
- The FTC’s Consumer Review Rule prohibits reviews and testimonials that misrepresent whether a reviewer’s experience was positive or negative, or whether the reviewer used the product or service at all.
- In a December 2025 enforcement notice, Federal Trade Commission staff sent letters to 10 companies, warning them of potential violations.
- In April 2025, several practices relating to online reviews became ‘banned practices’ under the Digital Markets, Competition and Consumers Act 2024 (DMCC Act) in the UK.
- The investigations bring the total number of businesses under review using the CMA’s new consumer powers to 14.
- Amazon proactively blocked hundreds of millions of suspected fake reviews from its store in 2025. Our Amazon statistics cover the retailer’s wider operations.
| Jurisdiction | Rule or action | Detail |
|---|---|---|
| United States | FTC Consumer Review Rule warning letters | 10 companies; penalties up to $53,088 per violation |
| United States | FTC TruHeight final order | $4 million judgment, suspended on payment of $750,000 |
| United Kingdom | CMA investigations under the DMCC Act | 5 new cases; 14 businesses under new powers |
Source: FTC, December 2025 and July 2026; CMA, March 2026
Worth noting: While the CMA is investigating these 5 businesses, it has not reached any conclusions about whether consumer law has been broken. Opened cases are a signal of enforcement priorities, not findings, so the UK figures describe scrutiny rather than proven violations.
What Consumers Want Done About Fake Reviews
- 97% of consumers think businesses should face punishment for fake reviews.
- 63% of consumers think review platforms should be responsible for detecting and preventing fake reviews.
- 25% think the government and legal authorities should be detecting and preventing fake reviews.
Conclusion
97% of consumers read reviews for local businesses. The open question for businesses is which reviews count, on which platforms, and how recent they must be. The rising star-rating floor, the jump in AI-assisted discovery, and the growing moderation totals point the same way: consistent, recent, genuine reviews spread across several platforms carry more weight than a perfect score on one.
Enforcement is the next variable to watch. The FTC’s first review-rule orders and the CMA’s pending case updates will show how far regulators go in turning fake-review bans into penalties.




















































