Brand Compliance Monitoring

The FTC is cracking down on deceptive review practices — with penalties of up to $50,120 per fake review. From Fashion Nova to Roomster, brands are being fined millions for review manipulation, hidden negative feedback, and even AI-generated testimonials. Franchisors are now being held liable for violations by franchisees.

Monitor All Of Your Locations in Real Time

GetDandy helps enterprise brands stay compliant and protect their reputation — at scale.

Monitor all locations for suspicious review activity

Detect and remove fake competitor reviews

Block staff, bots, or family reviews that violate policy

Centralized dashboard to ensure brand-wide compliance

Avoid costly penalties and regulatory risks

Backed by proprietary AI trained on 120,000+ successful removals

30% of reviews online are in violation.

Don’t wait for a whistleblower or FTC warning. Let GetDandy’s AI agents protect your brand — automatically, 24/7.

Trusted by Leading Brands

Your AI Compliance Team — Without the Overhead

Managing reputation risk across hundreds of locations used to take an army. Now it takes two AI agents.

GetDandy’s 24/7 AI Brand Manager and Compliance Agent 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 their fake reviews too.

This is brand security at enterprise scale — automated, accurate, and fully compliant with FTC and platform policies.

GetDandy’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
scale.

Summary of FTC Ruling

FTC civil penalties up to $50,120 per fake review (positive or negative) — per occurrence
FTC cracking down and whistleblowers cracking down
Franchisors may be liable if franchisees engage in deceptive review practices
Positive fake reviews & hidden negative reviews can trigger enforcement
Staff and friends and family reviews in violation

Recent Fines

Fashion Nova Settlement (2025)

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 rev iews 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.