AI Trace
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Reviewed and published by trentmaziarz, March 18, 2026. Discovered and drafted by our automated research pipeline.

Amazon uses machine learning and graph neural networks to run billions of daily scans of its marketplace — automatically detecting fraudulent seller accounts, counterfeit product listings, fake reviews, and other forms of abuse before they reach customers.

Details

Amazon invested more than $1 billion in 2024 alone on brand protection, employing machine learning scientists and human investigators. The AI systems scan product listings and customer interactions weekly for signals of abuse. Amazon claims its proactive AI stops 'at least 99% of fraudulent listings before a brand brings it to our attention.' In 2024, Amazon identified and disposed of over 15 million counterfeit products worldwide. Its Counterfeit Crimes Unit has pursued over 24,000 bad actors since its 2020 launch. Amazon notes that counterfeiters are increasingly adopting generative AI to create more convincing fake listings and reviews.

Products affected

Amazon MarketplaceAmazon Seller CentralAmazon Brand Registry

Sources & Evidence

Cite this record

Trace Foundation. (2026). Amazon: Amazon uses machine learning and graph neural networks to run billions of daily scans of its marketplace — automatically detecting fraudulent seller accounts, counterfeit product listings, fake reviews, and other forms of abuse before they reach customers (data as of 2026-09-02) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/3c2e40f6-1bfb-454f-a2d9-42385a3309c9. Accessed October 13, 2026.

Stable link
https://www.aitrace.org/r/practice/3c2e40f6-1bfb-454f-a2d9-42385a3309c9
Data as of
September 2, 2026
Last verified
February 20, 2026

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