7 Ways to Spot a Fake Review Before It Costs You Money

Fake reviews are a billion-dollar problem, but they are also surprisingly formulaic. Our moderation systems flag hundreds of thousands of suspicious reviews every month, and the same patterns appear again and again. Here are seven you can check yourself in under a minute.

1. A burst of five-star reviews in a short window

Genuine review volume grows steadily. When a profile gains fifty glowing reviews in a single weekend — especially after a stretch of criticism — someone is probably buying praise. Check the date distribution before you check the score.

2. Vague superlatives, zero specifics

“Amazing product! Best company ever! Highly recommend!” tells you nothing. Real customers mention the model they bought, the problem they had, the courier that delivered it. Specificity is expensive to fake at scale.

3. Reviewer profiles with one review each

Click the reviewer. A history of one review — or twenty reviews all posted the same day for unrelated businesses in different countries — is a classic farm signature.

4. Identical phrasing across “different” reviewers

Copy a distinctive sentence and search for it. Review farms reuse templates, and the same odd phrase appearing under five names is a giveaway.

5. Extreme ratings with no middle ground

Legitimate profiles have a long tail of three- and four-star reviews. A distribution that is 95% five-star and 5% one-star — with nothing between — suggests both the praise and the attacks may be manufactured.

6. Reviews that read like ad copy

Feature lists, marketing slogans, and links are seller language, not customer language. Real people describe experiences; marketers describe benefits.

7. The business never responds to criticism

An engaged, honest business answers its worst reviews. Silence toward every complaint — while five-star reviews pile up — is a culture signal worth trusting more than any star score.

The takeaway: no single tell is proof, but two or more together should make you slow down. On Trustvivo, every review passes automated integrity checks before publishing, and anyone can flag a review for human re-inspection — which is exactly how trust should work.