Online Review Statistics 2026: Trust, Fake Reviews & How Reviews Drive B2B Software Buying

Seventy-five percent of consumers say they always or regularly read online reviews before choosing a business (BrightLocal, 2024), and 94% rank reviews as the single biggest factor in a purchase decision, ahead of price (PowerReviews, 2021). In B2B software specifically, 51% of buyers now start research with an AI chatbot more than with Google, and 45% say a citation from a review site is the most confidence-inspiring signal an AI answer can show them (G2, 2026). Meanwhile the FTC has fined violators up to $51,744 per fake review since October 2024.

Key online review statistics at a glance

The numbers below come from named, dated surveys and official reports, not aggregator round-ups. Each row links to the primary source so the figure can be checked directly.

Statistic	Figure	Year	Source
Consumers who always or regularly read online reviews	75%	2024	BrightLocal
Consumers who trust reviews as much as personal recommendations	50%	2024	BrightLocal
Consumers who won’t consider a business rated below 3 stars	71%	2024	BrightLocal
Consumers who say reviews are their top purchase consideration	94%	2021	PowerReviews
Purchase-likelihood peak on the star-rating curve	4.0–4.7 stars	2017	Northwestern Spiegel Research Center
Purchase-likelihood lift from a product’s first 5 reviews vs. zero reviews	270%	2017	Northwestern Spiegel Research Center
B2B software buyers who start research with an AI chatbot more than Google	51%	2026	G2
B2B buyers who say a review-site citation is the top AI-answer confidence signal	45%	2026	G2
Share of review-platform AI Overview citations held by G2, Capterra, TrustRadius, Gartner Peer Insights and Software Advice combined	88%	2025	SE Ranking
Share of B2B buying-group time spent researching independently online	27%	2024	Gartner
Maximum FTC fine per fake-review violation	$51,744	2024	FTC
Share of Tripadvisor’s 2024 submitted reviews identified as fake	~8%	2024	Tripadvisor

How much buyers trust reviews

Trust in reviews is high but not blind. BrightLocal’s 2024 Local Consumer Review Survey found that 75% of consumers always or regularly read reviews, and half now say they trust an online review as much as a recommendation from a friend or family member, up from 46% the year before. The same survey found that 71% of consumers would not use a business with an average rating below 3 stars, and that most people check more than one platform before deciding: 41% consult three or more review sites, 36% consult two.

PowerReviews’ 2021 survey of 6,538 consumers put reviews ahead of every other purchase factor it tested. 94% said ratings and reviews topped their list of considerations, ahead of price (91%), free shipping (78%), brand preference (65%), and recommendations from friends or family (60%). The same report found that 99.9% of consumers read reviews when shopping online at least sometimes, and 79% specifically seek out sites that carry reviews before buying, both figures up from 2018.

The star rating itself behaves in a counterintuitive way. Research from Northwestern University’s Medill Spiegel Research Center found that purchase likelihood typically peaks when a product sits at 4.0–4.7 stars, then drops as the average approaches a perfect 5.0. A flawless score reads as manufactured instead of earned. The same research found that a product with just 5 reviews sees 270% greater purchase likelihood than one with none, with the largest jump occurring for higher-priced items (a 380% increase versus 190% for lower-priced ones), and that a verified-buyer badge lifts purchase odds by roughly 15%.

Responding to reviews changes how much people trust a business, not just whether they read one. BrightLocal’s 2024 survey found that 89% of consumers read a business’s replies to its reviews, and 56% said a thoughtful response to a negative review improved their opinion of that business. The gap in willingness to buy is large: 88% of consumers say they would use a business that replies to all of its reviews, against only 47% for one that never responds. Reading a review, in other words, is only half the behavior; watching how a company handles criticism is the other half.

Reviews in B2B software buying

B2B software buyers now route much of their research through AI before they touch a review site directly. G2’s 2026 buyer research, based on a March 2026 survey of 1,076 B2B software buyers and reported through PR Newswire, found that 51% now start research with an AI chatbot more often than with Google, up from 29% in April 2025, and 71% rely on AI chatbots for software research overall. Sixty-nine percent said an AI chatbot led them to choose a different vendor than they originally planned, and a third bought from a vendor they had never heard of before the chatbot surfaced it.

Review sites remain the mechanism that makes those AI answers credible. G2’s research found that 45% of buyers name a citation from a review site as the single most confidence-inspiring signal an AI-generated answer can carry, and that review-site influence actually grows as buyers move through the funnel, from 40% at discovery to 47% at retention. That makes review platforms the only source besides AI chat itself that gains influence at every later stage. For a longer look at how AI answer engines pull from review data, see our guide to AI visibility for software vendors.

Which review platforms the AI models cite is uneven and concentrated. An SE Ranking study of 30,000 commercial software keywords, run on December 1, 2025, found that five platforms account for 88% of all review-platform citations inside Google AI Overviews: Gartner Peer Insights at 26.0%, G2 at 23.1%, Capterra at 17.8%, Software Advice at 12.8%, and TrustRadius at 8.3%. Our own breakdown of the leading software review sites covers how each of these platforms builds its catalog and what buyers should expect from each one.

Independent research was already the dominant activity before generative AI entered the picture. Gartner’s B2B Buying Journey research breaks down how a typical buying group spends its time: 27% researching independently online, 22% meeting with the buying group internally, 18% researching independently offline, 17% meeting with potential suppliers, and 16% on other activity. A separate March 2026 Gartner sales survey found that 67% of B2B buyers now say they would prefer a rep-free buying experience if one were available. Review sites sit inside that 27% of independent online research, alongside vendor sites, analyst reports, and now AI chat.

There’s a real paradox sitting underneath all of this: the same review platforms that dominate AI citations have lost most of their direct organic search traffic. SE Ranking’s December 2025 analysis tracked G2’s monthly visits falling from roughly 2.56 million in January 2024 to about 397,000 in December 2025, a decline of about 84.5%. Capterra fell from around 1.63 million visits to about 179,000 over the same window, close to 89% down, and TrustRadius lost more than 92% of its traffic. Being the source an AI model quotes and being a site people visit directly are now two separate things, and review platforms are winning the first while losing the second.

Fake review statistics

Regulators and platforms are both responding to fake reviews with harder enforcement, though the true prevalence of fake reviews is genuinely contested and estimates from different sources do not agree. The Federal Trade Commission’s final rule, announced August 14, 2024 and effective October 21, 2024, bans selling or buying fake reviews, paying for reviews that express a particular sentiment, insiders posting undisclosed reviews of their own company, company-run sites that pose as independent review sites, suppressing genuine negative reviews, and buying fake social media influence metrics. Violators can now face civil penalties of up to $51,744 per violation.

Platform transparency reports offer the most concrete prevalence numbers available, though they only measure what each platform catches, not what slips through. Tripadvisor’s 2025 Transparency Report, covering 2024 activity, found that roughly 8% of the 31.1 million reviews submitted that year were fraudulent, and that the platform blocked 2.7 million fake reviews in total. “Review boosting,” where a business owner or employee posts positive reviews of their own company, accounted for 54% of that fraud, and 214,000 of the removed reviews were flagged specifically as AI-generated. Earlier Tripadvisor reports found lower fraud rates: 4.4% of reviews were flagged as fake in 2022 and 3.6% in 2020, suggesting the fraud rate is rising as fake-review generation gets easier.

Estimates of fake-review prevalence across the wider internet vary widely by methodology and source, and no single number should be treated as settled. Fakespot’s analysis of Amazon found that 43% of the site’s bestselling products carried unreliable reviews, while Amazon’s own 2024 disclosure put fake reviews at under 20% of the 19 million it analyzed that year. Broader academic and consumer-advocacy estimates for online reviews generally have landed anywhere from roughly 30% up toward much higher figures depending on category and detection method. Given that spread, the honest summary is that fake reviews are a real and apparently growing problem, platform-reported rates for any single site should be read as a floor instead of a ceiling, and industry-wide prevalence estimates vary too much to state as one figure.

Platform / source	Reported figure	Year	What it measures
Tripadvisor Transparency Report	~8% of submissions fake, 2.7M blocked	2024	Reviews caught by Tripadvisor’s own detection systems
Tripadvisor Transparency Report	4.4% of submissions fake	2022	Same methodology, prior reporting period
Fakespot analysis of Amazon	43% of bestsellers had unreliable reviews	2020	Independent third-party detection tool
Amazon’s own disclosure	Under 20% of 19M reviews analyzed	2024	Platform-reported figure

How review platforms verify reviews

Every major B2B review platform uses some combination of identity verification and human moderation, though the specifics differ. G2 requires reviewers to sign in with a business email, a LinkedIn account, or a personal email backed by a screenshot of the product in use, and every review passes through a human moderator who checks for conflicts of interest; reviewers with a business relationship to the vendor or a competitor can still contribute insight, but their review does not count toward the product’s score.

TrustRadius follows a similar identity-first model: reviewers authenticate through LinkedIn or a work email address, and a member of the platform’s research team reads each submission to confirm the reviewer has recent, relevant experience with the product before it publishes. Gartner Peer Insights adds a stricter professional-role requirement on top of identity checks: a reviewer needs a corporate email address that matches their stated employer, an external profile (typically LinkedIn) that confirms their identity and role, and a formal attestation that they work in IT or technology purchasing and hold no stake in the vendor being reviewed; moderation can take up to 10 business days.

Spotsaas reviews go through verification before publication, and every listing discloses how a vendor’s data was sourced. For a closer look at how G2 specifically validates reviewers and how that compares with other platforms, see our piece on whether G2 is legit and how review sites make money.

Platform	Identity check	Human moderation	Typical review time
G2	Business email, LinkedIn, or personal email + screenshot	Every review checked by a moderator for conflicts of interest	Up to 3 business days
TrustRadius	LinkedIn or work email	Research team member reads each review before publication	Not publicly disclosed as a fixed window
Gartner Peer Insights	Corporate email matched to employer + external profile confirmation	Moderation team validates identity, role, and conflicts of interest	Up to 10 business days
Spotsaas	Reviewer verification before publish	Verified before publish, with sourcing disclosed on each listing	Not a fixed public window

Review behavior on Spotsaas (first-party data)

Spotsaas’ own numbers give a sense of scale instead of behavioral detail, and we’re disclosing exactly what we can support instead of estimating deeper splits. More than 2 million buyers a year use Spotsaas to research software, across 24,578 products organized into 419 categories, backed by more than 12,400 verified reviews. We’re not publishing category-by-category read-rates or conversion breakdowns here because we don’t have them at a confidence level worth citing; if that changes, this section will be updated with the same sourcing standard applied to every other stat on this page.

Methodology and how to cite this page

Every figure on this page was checked directly against its original source: a named survey report, a company transparency report, an official regulatory press release, or a platform’s own documentation page. We excluded any statistic that only appeared in secondary round-up articles with no traceable original study, and we labeled every figure with the year the underlying data was collected or published, which is not always the year an article about it was written. This page is reviewed and refreshed monthly as new survey waves and transparency reports are published.

To cite this page: Spotsaas, “Online Review Statistics 2026,” www.spotsaas.com/blog, last updated July 17, 2026.

Frequently asked questions

What percentage of consumers read online reviews?

75% of consumers say they always or regularly read online reviews before choosing a business, according to BrightLocal’s 2024 Local Consumer Review Survey. Separately, PowerReviews found that 99.9% of consumers read reviews when shopping online at least sometimes, based on a 2021 survey of over 6,500 consumers.

How many reviews do people read before buying?

There’s no single settled number, but the data points toward a handful mattering most. Northwestern’s Spiegel Research Center found that the jump from zero to five reviews delivers the largest purchase-likelihood gain (270%), with returns from additional reviews diminishing quickly after that. PowerReviews found many consumers still want deeper proof for expensive purchases: some shoppers won’t buy until they see 500 or more reviews.

What percentage of online reviews are fake?

Estimates vary too much to state as one number, and no widely quoted “X% of all reviews are fake” figure traces back to a rigorous, repeatable study. What can be sourced: Tripadvisor’s 2025 Transparency Report found roughly 8% of its 2024 submissions were fraudulent, up from 4.4% in 2022. Fakespot’s analysis found 43% of Amazon bestsellers carried unreliable reviews, while Amazon’s own 2024 disclosure put its rate under 20%. Treat any single figure as an estimate tied to one platform and one detection method, not a universal rate.

Do reviews matter in B2B software buying?

Yes, and their role is shifting instead of shrinking. G2’s 2026 buyer research found that 51% of B2B software buyers now start research with an AI chatbot more than with Google, but 45% say a review-site citation is the single most confidence-inspiring signal an AI answer can show them, and review-site influence grows from 40% at discovery to 47% at retention. Review platforms including G2, Capterra, TrustRadius, Gartner Peer Insights, and Spotsaas remain the data AI answers cite to back up their recommendations.

Which review platforms do AI search engines cite most?

An SE Ranking study of 30,000 software-related keywords, run in December 2025, found that Gartner Peer Insights, G2, Capterra, Software Advice, and TrustRadius together account for 88% of all review-platform citations inside Google AI Overviews, with Gartner Peer Insights (26.0%) and G2 (23.1%) leading the group.