The FTC's new rule doesn't just ban fake reviews. Not having a system to catch them is now the violation. The Consumer Reviews and Testimonials Rule (effective October 2024) created a "should have known" standard. If fake reviews sit on your listings and you have no reasonable detection process, that absence is itself the violation — at $53,088 per review. A competitor hires a broker through a 13,000-member Telegram group for $0.50 an upvote. The text is written by GPT-4, then run through a "humanizer" tool to slip past AI-text detectors. The accounts are 2-4 years old with real purchase history. Forty-seven five-star reviews land over 72 hours, each looking legitimate on its own. Most tools pass them. Text detectors only read the words — they miss the timing, the account network, and the behavioral pattern underneath. And the safety net is thinning. Fakespot, the most-used independent checker, shut down in July 2025 after nine years. Amazon spends $500M a year and 8,000 people on this, and 49% of shoppers still say they've seen fakes there. And it doesn't stay on one listing — a fake that clears a platform's filters can syndicate across 50+ retailer sites within 48 hours. Detection that holds up combines signals — linguistic, behavioral, temporal, and network — across every platform, not just one. If you run trust & safety or brand protection: what's catching the coordinated campaigns for you, and what's slipping through? #ReviewIntegrity #FTCCompliance #AIGovernance