32 review and rating statistics, every one dated.
How many people read reviews, the star rating and review count they expect before they will use a business, how fast they want a reply, and what AI written reviews have done to trust. Each figure carries the year of the research it came from, so you can see what is current.
The 6 numbers worth remembering.
If you take nothing else from this page, take these 6. Each one is dated, and the rest of the article expands on all of them.
of people read reviews for local businesses. Reading reviews is not a step some customers take. It is the step almost all of them take.
will only use a business rated 4 stars or higher. That was 55% a year earlier.
will not use a business with fewer than 20 reviews. Only 9% would use one with 5 or fewer.
only care about reviews written in the last 3 months.
expect the business to reply to reviews, and 81% expect that reply within a week.
used ChatGPT or another AI tool to find local recommendations, up from 6% a year earlier.
How many people read reviews, and how closely.
Reading reviews has stopped being a step people take before a big purchase. For most people it is now part of choosing anything at all.
of people read reviews for local businesses.
always read reviews while browsing for a business, up from 29% in 2025.
have made a purchase after reading reviews, and 27% of them spent over $1,000.
review sites is the average number a person checks before deciding.
The rating and review count you have to clear.
People filter before they read. A rating and a review count decide whether your written reviews are ever opened, and both bars moved up in the last year.
say star ratings matter when they choose a business.
will only use a business rated 4 stars or higher, up from 55% in 2025.
will only use a business rated 4.5 stars or higher, up from 17% in 2025.
will not use a business with fewer than 20 reviews, and only 9% would use one with 5 or fewer.
The rating bar, 2025 against 2026
Share of US consumers who set each minimum rating. Same survey, 2 consecutive years.
How old a review can be before it stops counting.
This is the figure that catches out businesses with a good rating they stopped adding to.
only care about reviews written in the last 3 months.
reviews is the minimum most people want to see before they trust an average at all.
What replying to reviews does.
Replying is the only part of your reputation you fully control, and it is the clearest effect in the whole data set.
expect business owners to respond to reviews.
are likely to use a business that responds to all of its reviews.
are unlikely to use a business that never replies.
expect a reply within a week, and 19% expect one the same day. Same day expectation tripled from 6% in 2025.
How much replying actually moves people
Share of US consumers likely to use a business, by what that business replies to. 2026.
Where people actually read reviews.
The places people look changed more in the last year than in the 5 before it.
Where people looked for reviews, 2025 against 2026
Share of US consumers using each source. People could pick more than 1.
used ChatGPT or another generative AI tool to find local recommendations, up from 6% in 2025. ChatGPT on its own accounts for 31%.
used Google to find reviews, down from 83% in 2025.
used Facebook to find reviews, up from 40% in 2025.
now trust AI platforms as much as they trust traditional review sites.
AI written reviews, fake reviews and the law.
Fake review rates are rising, AI made them cheaper to produce, and since late 2024 there has been a federal rule in the United States with real penalties attached.
now read the AI written summary that sits above the reviews, and 23% decide on that summary alone without opening a single review.
say they cannot reliably tell a genuine review from one written by AI.
of shoppers say they are concerned about AI written fake product reviews.
of the people using AI to find a business still check real reviews at least sometimes, and 42% always do.
Share of reviews submitted to Trustpilot that were fake
Trustpilot measured data, full years 2023 and 2024, then first half of 2025 and 2026.
fake reviews were removed by Trustpilot in 2025, and 91% of those were caught automatically rather than by a person.
of reviews in home, legal and medical categories were found to be extremely suspicious and likely fake in a study of those sectors. About 3% of all the reviews checked were produced with AI.
is the maximum civil penalty per violation under the FTC rule on consumer reviews, for a business that knowingly breaks it.
companies were sent warning letters by the FTC in December 2025, and the first cases brought under the rule were settled in 2026.
What a rating is worth in money.
These are the most quoted figures in the subject. They are real, they point the same way, and every one of them is older than it looks.
more revenue for each 1 star a restaurant gained on Yelp. This is the single most quoted figure in the subject.
more evening slots sold out after an extra half star, in a separate peer reviewed study of San Francisco restaurants.
above average revenue for businesses with more than 9 fresh reviews. The word fresh matters. It meant reviews from the last 90 days.
above average revenue for businesses that replied to at least a quarter of their reviews.
higher purchase likelihood for a product showing 5 reviews than the same product showing none.
reviews do most of the work. Nearly all of the lift happens inside the first 10, and the bulk of it inside the first 5.
What to do with all this.
Read together, the figures above point at the same 6 actions, cheapest first.
1. Get every location to 20 reviews
47% will not use a business with fewer than 20 reviews, and only 9% would use one with 5 or fewer. Volume comes before average. A standing request sequence after each job is the cheapest way there. Review generation.
2. Reply to all of them, not the easy ones
Replying to everything scores 80%. Replying only to the good ones scores 45%. The gap is bigger than most rating improvements you could buy. AI review replies with approval before publishing.
3. Reply within a week, and prefer the same day
81% expect a reply inside a week and same day expectation tripled in a year. Alerts matter more than good intentions here. One inbox for every location.
4. Keep reviews arriving, because 74% only count the last 3 months
A rating built 2 years ago and left alone stops working. A steady trickle beats a burst followed by silence.
5. Watch for suspicious reviews on your own profiles
Fake review rates are rising and the fastest removals are the ones reported while the review is fresh. Negative and suspicious review monitoring.
6. Track the rating per location, not as one company average
A brand average hides the 3 branches dragging it down. Per location is the only view that tells you where to act. Per location reporting and the wider local SEO statistics for context.
Where every figure came from.
Primary research from the publishers who ran the studies, plus the regulator’s own rule text. Nothing on this page is taken from another round-up. Every figure carries the year of the research rather than the year it was republished.
BrightLocal
Local Consumer Review Survey 2026, a representative panel of 1,002 US adults, published February 2026. This is the backbone of the page and the source of every reading, rating, recency, replying and platform figure, including the 2025 comparisons. Also the source of the AI review summary figures. Our own write-up of it is here: Local Consumer Review Survey.
Trustpilot
Trust Report 2025, covering 2024, for the fake review removal rate and the automated detection share. Full year 2025 results and first half 2026 results, published by Trustpilot Group plc, for the current platform scale, the 2025 removal total and the rising share of submissions found to be fake.
US Federal Trade Commission
Rule on the Use of Consumer Reviews and Testimonials, 16 CFR Part 465, announced August 2024 and effective 21 October 2024, for the prohibited conduct and the civil penalty amount. December 2025 warning letters and 2026 enforcement actions for the current state of enforcement. General information, not legal advice.
Reputation
Consumer survey fielded by the research firm Prodege with 2,000 US consumers in autumn 2024, for the figures on telling genuine reviews from AI written ones.
TrustedSite
State of Ecommerce Trust 2026, for consumer concern about AI written fake product reviews.
The Transparency Company
The High Cost of Review Fraud, December 2024, an analysis of reviews in home, legal and medical services, for the share found to be likely fake and the share produced with AI.
Harvard Business School
Michael Luca, Reviews, Reputation and Revenue: The Case of Yelp.com, working paper 12-016, using Seattle restaurant data from 2003 to 2009. The 5 to 9% finding and its independent restaurant scope come from here.
The Economic Journal
Michael Anderson and Jeremy Magruder, 2012, the peer reviewed San Francisco study that independently found the same direction, reported here as the half star and sell out figure.
Womply
The impact of online reviews on small business revenue, published July 2019 using 2018 data, for the fresh review revenue figures and the replying to a quarter of reviews figure.
Medill Spiegel Research Center, Northwestern University
How Online Reviews Influence Sales, published June 2017 with PowerReviews and built on 2015 transaction data, for the purchase likelihood figures, the first 5 reviews finding and the rating range where purchase likelihood peaks.
Whitespark
Local Search Ranking Factors, 2026 edition, for the weight practitioners give review signals in the local pack, in local organic results and in AI search visibility. This is a survey of practitioners, not data published by Google. Google does not publish ranking weights.
Yelp and Tripadvisor
Company reported figures for cumulative review counts and monthly usage, taken from their own investor and transparency reporting rather than from third party round-ups.
Review statistics, answered.
The questions people ask most, answered with the figures above.
How many people read online reviews before choosing a business?
97% of people read reviews for local businesses, and 41% say they always read them while browsing, up from 29% a year earlier. Those come from BrightLocal’s 2026 survey of 1,002 US adults. They are self-reported, so treat them as what people say they do rather than logged behaviour.
What star rating do you need in 2026?
68% will only use a business rated 4 stars or higher, up from 55% in 2025, and 31% will only use one rated 4.5 or higher, up from 17%. The practical target is 4.5 or above. Going for a perfect 5.0 is not worth it, because purchase likelihood peaks between 4.0 and 4.7 and a flawless score reads as suspicious.
How many reviews does a business need?
47% will not use a business with fewer than 20 reviews and only 9% would use one with 5 or fewer, so 20 is the working floor. The research on purchase likelihood points the same way. Most of the lift arrives inside the first 5 to 10 reviews, so moving a weak location from 2 reviews to 10 is worth more than adding 20 to a location that already has 80.
How old can a review be before it stops counting?
About 3 months. 74% of people say they only care about reviews written in the last 3 months. A high average that stopped 2 years ago reads like a business that may have closed, which is why a steady trickle of new reviews beats an old burst.
Does replying to reviews actually change anything?
It is the clearest effect in the data. 80% are likely to use a business that replies to all of its reviews, against 45% for one that replies only to positive reviews and 47% for one that replies only to negative ones. 42% say they are unlikely to use a business that never replies, and 89% expect a reply at all.
How fast do you have to reply?
81% expect a reply within a week. 19% now expect one the same day, which tripled from 6% a year earlier. Inside a week is the standard to hold, and the expectation is getting tighter each year.
Are people using AI instead of reading reviews?
Both, for now. 45% used ChatGPT or another generative AI tool to find local recommendations, up from 6% a year earlier, and 82% read the AI written summary that sits above the reviews. But 23% decide on the summary alone, while 97% of AI users still check real reviews at least sometimes and 42% always do.
How common are fake reviews?
On Trustpilot, 10% of reviews submitted in the first half of 2026 were found to be fake, up from 8% a year earlier, 7.4% in 2024 and 6.1% in 2023. Trustpilot removed 7.8 million in 2025 and caught 91% of them automatically. In home, legal and medical services specifically, one study found nearly 14% of reviews were likely fake.
Is it illegal to buy reviews in the United States?
Yes. The FTC rule on consumer reviews took effect on 21 October 2024. It bans fake and AI written reviews, buying positive or negative reviews, undisclosed reviews from insiders and their close family, and suppressing honest negative reviews. Penalties run to $53,088 per violation for knowing violations, the FTC sent warning letters to 10 companies in December 2025, and the first penalties landed in 2026. This is general information, not legal advice.
How much are reviews worth in revenue?
The honest answer is that the good studies are old. A Harvard Business School paper found a 1 star rise on Yelp raised restaurant revenue 5 to 9%, but that used 2003 to 2009 data and the effect held for independent restaurants rather than chains. Womply found businesses with more than 9 fresh reviews earned 52% above average, using 2018 data. They point in a consistent direction, which is why they are still quoted, but none of them is a 2026 measurement.
Where do people read reviews now?
Google is still the biggest single source at 71%, though that fell from 83% in a year. Facebook rose to 49% from 40%. Generative AI tools reached 45% from 6%. People use an average of 6 review sites before deciding, so being strong only on Google is not enough.
How much do reviews count towards local rankings?
Nobody outside Google knows exactly. Google says local results are based mainly on relevance, distance and popularity, and it does not publish percentage weights. The percentages you see quoted come from a survey of local SEO practitioners, whose most recent edition puts review signals at about 20% of what drives the local pack. Treat that as informed opinion rather than fact.
These are averages. Your own rating is the number that counts.
Every figure on this page describes people in general. What matters is where each of your locations sits in its own town, and that takes a few minutes to find out.
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