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The free tool below runs entirely in this browser — no account, nothing stored or transmitted. Redact anything you would not want kept before you type it.
Open the companion tool →How AI tools generate fake product consensus
Large language models generate varied, highly specific customer testimonials that bypass simple duplicate-text filters.
Real customer reviews vary widely in length, formatting, and posting dates, whereas bot campaigns post in sudden dense clusters.
The protocol
- Look at the distribution of review posting dates. Dense clusters posted over a few hours indicate automated campaigns.
- Filter for 2-star, 3-star, and 4-star reviews, which offer more nuanced information than 5-star testimonials.
- Check reviewer profiles to see if they have reviewed multiple unrelated products on the same day.
- Cross-reference product performance on independent testing and consumer reporting websites.
What the tool does
Paste product reviews or describe rating patterns to inspect for synthetic bot markers. Runs in browser.
Limit first: This tool helps spot review patterns. It does not test physical product quality.
Open the companion tool →One human next step
If you purchased a unsafe or fraudulent product based on fake reviews, report the listing to the platform and the FTC.
Research log and safety checks
AI-assist path: text pattern analysis rules. §6.10: not a frontier-pace topic.
§0.5 protection result: category is deepfake-media-verification; crisis-adjacent: no; fear/urgency/scarcity toolkit used: no. The protective function is free and the paid feature is convenience only.