Amazon's review system can make or break a launch overnight and it's under attack more often than most sellers realize.

Shane Barker is the founder of TraceFuse, an Amazon review-integrity platform that has removed over 13,000 fraudulent or guideline-violating reviews for more than 500 clients. After 25 years in e-commerce, SEO, and influencer marketing — including building UCLA's influencer marketing program — Shane spent two years cracking the code on how to get fake reviews legitimately removed under Amazon's own rules.

In this episode, we get into how review-bombing attacks actually work: competitors buying products, shipping them to strangers around the world, and using those "verified purchases" to leave coordinated one-star reviews, often timed right before Prime Day or the holidays. Shane breaks down the real revenue impact of a star-rating drop, the difference between white-hat and black-hat review tactics, and how his team uses AI to monitor thousands of reviews a day while keeping every filing compliant and human-reviewed.

We also cover the free tool TraceFuse built so any seller, client or not, can check which of their reviews are in violation and could be removed.

Key topics:

• How fake review attacks are actually executed, and why "verified purchase" doesn't mean what you think
• The real sales impact of dropping from a 4.3 to a 4.2 star rating
• White-hat vs. black-hat tactics for managing Amazon reviews
• How AI is used to monitor reviews at scale without automating the filings themselves
• Where to get a free report on which of your Amazon reviews violate guidelines