Your listing isn't suppressed in Seller Central — but Rufus still isn't recommending it. The reason isn't your copy. It's buried in your catalog data.

Why do some ASINs get recommended by Rufus while others — with better copy and stronger reviews — don't even enter the recommendation pool?

Rufus operates in two distinct phases: a retrieval phase that filters candidates using structured catalog attributes, and a generation phase that reads your copy. Most sellers optimize for the wrong one. Twelve specific product attributes determine whether your ASIN passes the retrieval filter before Rufus ever reads a single bullet point.

In this episode, you'll learn:

• Why item type keyword, target audience, and intended use are the three highest-leverage flat file fields for Rufus visibility — and why most sellers haven't touched them since launch
• How Cosmo evaluates catalog consistency across variation parents and children, and why one poorly-structured child ASIN can reduce recommendation eligibility for your entire family
• What "review content richness" means to Rufus's RAG pipeline — and why "arrived on time, as described" reviews are actively hurting your AI visibility score

If you're running a catalog of any real size, there's a good chance some of your best ASINs are invisible to Rufus for reasons that have nothing to do with how good they are.

Subscribe for regular episodes on Amazon's AI Rufus and what actually drives visibility.

This episode is brought to you by Atomic AMZ. We help brands get discovered, rank and scale on Amazon (plus for sellers who've outgrown generic Amazon agencies).

Get your tailored Amazon Rufus AI Audit today www.atomicamz.com

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