The FTC is cracking down on fake review practices—with fines of up to $50,120 per fake review. From Fashion Nova to Roomster, brands across all industries are being fined millions for manipulating reviews, hiding negative feedback, and even using AI-generated testimonials. Businesses can also be held accountable for violations committed by their partners or third parties. But worry not anymore! Snapbad helps you with white label reputation management for your business.
30% of reviews online are in violation.
Why wait for an FTC fine or a whistleblower? Let Snapbad’s AI protect your brand automatically — 24/7.
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Snapbad’s 24/7 AI Brand Manager and Brand Compliance Monitoring Tool monitors your Google listings, flags suspicious content, disputes fake or unfair reviews, and auto-responds with SEO-optimized replies. It even watches your competitors and helps remove bad Google reviews too. This is brand security at enterprise scale — automated, accurate, and fully compliant with FTC and platform policies.
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Snapbad’s proprietary AI engine leverages advanced machine learning models trained on over 120,000 successful review removals to perform a multi dimensional analysis of online review content and contributor behavior. Our system evaluates the legitimacy of each review by assessing reviewer history, behavioral patterns, linguistic signals, and potential violations of platform specific Terms of Service and content policies. Using a patent pending dispute generation algorithm, our AI dynamically constructs and iterates removal challenges in real time, incorporating platform response feedback to maximize the probability of successful resolution all fully automated and at enterprise
The FTC settled with online retailer Fashion Nova, requiring them to pay $2.4 million in refunds to consumers. The company was accused of suppressing negative reviews on their website, leading to misleading representations of their products.
Rytr’s AI Generated Fake Reviews (December 2024) Action: The FTC approved a final consent order against Rytr, an AI writing assistant service, for providing subscribers with tools to generate false and deceptive online reviews.
Cure Encapsulations, Inc. This case marked the FTC’s first enforcement action against fake reviews on an independent retail site. The company’s owner paid a third party website to fabricate positive Amazon reviews for a weight loss supplement and bolster its star rating . In 2019, the FTC settled the case with a $12.8 million judgment (suspended upon a $50,000 payment d ue to inability to pay) for false advertising and fake “Amazon verified” reviews .The order also required notifying Amazon that reviews had been purchased . Roomster Apartment rental platform Roomster was sued by the FTC and six states for allegedly flooding the market with fake positive reviews and false listings to lure renters . The complaint asserted that Roomster bought tens of thousands ” of fabricated 4 and 5 star reviews to boost its credibility, while charging users for access to housing listings that often didn t exist. A proposed settlement was reached: Roomster s founders are permanently banned from buying or incentivizing reviews going forward, and a $ 47.2 million judgment (including $ 36.2 million in consumer redress and $ 10.9 million in civil penalties to states) was imposed.
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"Since using Snapbad, managing our reviews has become so much easier. It helps us stay on top of feedback and keeps our online presence strong, so more students can find and trust us."
