Stop spending hours reading every review just to find the handful that break Ama
By Danan Coleman · July 2, 2026 · Curated by George's Blog
Stop spending hours reading every review just to find the handful that break Amazon's rules.
Here is one workflow that gives you those hours back.
Instead of scanning reviews by hand, feed them to an AI model with a clear prompt. Something like: "Analyze this Amazon review and label it Suspicious or Not Suspicious based on these criteria (off-topic content, promotional language, unusual positivity), then explain your reasoning."
Good AI catches the patterns humans miss when their eyes glaze over: reviews that talk about shipping instead of the product, hidden ads for other sellers, and the generic, overly positive language that fake reviews tend to share.
Two things make or break it.
First, your prompt quality drives the accuracy. Vague criteria in, vague flags out.
Second, AI flags, humans decide. It can misread context and flag a legitimate review, so a person still verifies anything marked suspicious before you report it to Amazon.
Used this way, AI is not a replacement for judgment. It is a filter that hands you a short list worth your attention.
Want to see exactly how flagged reviews get removed?
https://lnkd.in/ePN9ZBzM