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How do I get recommended by Amazon Rufus?

Rufus is Amazon's in-app shopping assistant, and it answers buying questions primarily from the signals inside Amazon's own ecosystem — your product listings, their titles and bullet points, structured attributes, A+ content, Q&A, and above all the volume and language of your reviews — layered with what the broader web says about your brand. To be the product Rufus names, treat your listing like an answer source: write titles and bullets in the plain, specific language shoppers actually use ("quiet", "for small kitchens", "dishwasher-safe"), fill every structured attribute so Rufus can match your item to a need, and build a steady stream of detailed, recent reviews that name real use cases in customers' own words. Rufus leans on that review language to decide both whether to recommend you and how to describe you, so thin listings and sparse reviews are invisible to it. The brands that win Rufus pair a complete, attribute-rich listing with genuine review density and consistent off-Amazon signals that confirm the brand is real.

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FAQ

What does Rufus actually read to make a recommendation?Your Amazon listing — title, bullets, structured attributes, A+ content and customer Q&A — plus the volume, recency and wording of your reviews, and broader web signals about your brand. It matches a shopper's need to the product whose data and reviews express that need most clearly.
How do I optimize a product listing for Rufus?Write titles and bullets in the specific, natural language shoppers use, complete every structured attribute so Rufus can match you to a query, add rich A+ content, and earn detailed, recent reviews that name real use cases. Sparse listings and thin reviews give Rufus nothing to work with.
How do I check whether AI recommends my products?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.

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