Everyone talks about optimizing titles and bullet points for Rufus. But when Cosmo indexes your flat file, it's reading 18 specific structured fields in your back-end data before it even looks at your customer-facing content.

So if you're not managing these back-end fields, are you even visible to Rufus at all?

Cosmo builds its understanding of your product from structured data fields that exist in your flat file, back-end attributes, and category-specific browse node data. These fields create the semantic map that Rufus uses to match your product to natural language queries. Most sellers will find that 60-70% of their catalog has incomplete back-end data—which is why those ASINs don't show up in Rufus recommendations even though the front-end content looks perfectly optimized.

In this episode, you'll learn:

• How Cosmo processes 18 structured fields before reading your title or bullets
• Why Rufus matches intent to attributes instead of keywords to keywords
• The three back-end fields you should audit first: item type keyword, target audience, and special features

Structured data will always outrank unstructured text in AI search systems.

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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 Find out if Rufus is discovering your brand on Amazon

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