AI-assisted source summary. Read the scope and exceptions, then follow the original documents below.
Applies to
United States · businesses buying consumer reviews
Time context
2024 rule; current FTC questions and answers
Sources checked
US rule explanation. Platform policies can be stricter, and a suspicious-looking review is not by itself proof of a violation.
The experience must exist
The FTC rule addresses fabricated reviewers and misrepresented experiences, including AI-generated fake reviews. The issue is the false claim of a real experience, not simply whether software helped someone write.
The FTC’s answer to paying for five-star reviews with a disclosure is no. Incentives must not expressly or implicitly depend on positive or negative sentiment. Sentiment-neutral incentives are not banned by that provision, but undisclosed connections can still be deceptive.
Look for purchase context, detailed use and disclosed incentives. Treat an unusual burst of generic reviews as a prompt to investigate, not a verdict. For a creator, separate a product promotion from an independent assessment.
Original documents used for this summary. Multiple links from one publisher are not independent corroboration. Policies can change after the check date.
AI-assisted research, writing and translation by No Secrets, using the linked public documents. This is a source summary, not firsthand reporting or an independently audited investigation. No affiliate links are used in this article.
The date above records this research pass, not the date of every underlying event. The English and Chinese versions are AI-assisted summaries; the linked original controls if they differ.