Fake Review Forensics

Trends

AI-Generated Reviews Are Here: How Detection Is Changing

Google is deploying its Gemini models to catch review fraud and scam patterns before they publish, and blocked 292 million policy-violating reviews in 2025. But AI-written review text breaks the one detection method that's easiest to explain — near-duplicate wording — which is why timing and account patterns matter more than ever.

Andrew Keymaster · Aug 10, 2026 · 4 min

Education

The Economics of Review Farms: What Review-Buying Actually Costs

Fake five-star reviews sell for as little as $9 each; fake negative reviews aimed at a competitor cost more. Here's what the review-manipulation market actually charges, who profits, and what a business risks under the FTC's $53,088-per-violation rule.

Andrew Keymaster · Aug 8, 2026 · 5 min

Education

Review Bursts: The Clearest Fake-Review Signal, Explained

A review burst is a sudden spike of five-star reviews arriving far faster than a business's normal pace — and it's the single strongest signal in our fake-review model. Here's what counts as a burst, why timing matters more than content, and what real burst patterns look like in our data.

Andrew Keymaster · Aug 6, 2026 · 6 min

Guides

My Business Got Hit by Fake 1-Star Reviews: An Owner's Playbook

A sudden wave of fake 1-star reviews is a review-burst attack, not normal customer feedback drift. Here's the step-by-step response: document the pattern, report through the right channel, and know when to escalate to the FTC.

Andrew Keymaster · Aug 2, 2026 · 6 min

Trends

The FTC's Fake-Review Rule: What It Bans and the Fines So Far

The FTC's Consumer Review Rule bans buying fake reviews, insider reviews, and suppressing negative ones, with penalties up to $53,088 per violation. Since December 2025's warning letters, two cases have closed with real payments — here's what's banned and what enforcement has actually produced as of August 2026.

Andrew Keymaster · Jul 31, 2026 · 7 min

Comparisons

Google vs. Yelp vs. Tripadvisor: Who Fights Fake Reviews Best?

Google, Yelp, and Tripadvisor all fight fake reviews, but with different tools and different tolerance for false positives: Google leans on automated pre-publication screening at massive scale, Yelp runs manual sting operations and public "Consumer Alerts," and Tripadvisor employs a large moderation staff and is notoriously strict about removal.

Andrew Keymaster · Jul 27, 2026 · 5 min

Guides

How to Report a Fake Google Review (and What Actually Happens)

Reporting a fake Google review takes under a minute, but removal isn't automatic and nobody tells you the outcome. Here are the exact taps on every surface — Maps app, Maps web, Search, Business Profile — what happens inside Google's review queue afterwards, and what to do when one report clearly isn't enough.

Andrew Keymaster · Jul 25, 2026 · 6 min

Trends

What Share of Places Have Manipulated Reviews? Our Data, July 2026

As of July 2026, 33.5% of the 242 Google Maps places we've analyzed show signs of review manipulation, and 12.4% score high enough to be called Likely Manipulated. Here's the full breakdown by verdict, signal type, and what's driving it.

Andrew Keymaster · Jul 23, 2026 · 4 min

Education

How Our Fake-Review Score Works (and What It Can't Tell You)

Our 0-100 manipulation score combines review-burst detection, reviewer-account age and activity, duplicate-text matching, and rating-text consistency into a single number. Here's what goes into it, and the real limits of what any automated score can prove.

Andrew Keymaster · Jul 21, 2026 · 6 min

Guides

How to Spot Fake Google Reviews: 7 Signals With Real Examples

Fake Google reviews leave patterns a normal reader can catch: review bursts, thin reviewer histories, duplicate phrasing, and rating-text mismatches. Here are seven signals to check before you trust a listing, with real analyzed examples.

Andrew Keymaster · Jul 19, 2026 · 6 min