Amazon Rufus is the AI shopping assistant built into the Amazon app. When shoppers ask Rufus "what's the best protein powder for muscle gain?" — your product either appears in the answer or it doesn't. We make sure it does.
Request a proposal →Amazon Rufus is Amazon's AI-powered shopping assistant, integrated directly into the Amazon shopping app. It answers product questions, compares options, and recommends specific products — all inside Amazon's ecosystem.
A complete service to get your products recommended by Amazon's AI shopping assistant.
Rewrite titles, bullets, and descriptions so Rufus can extract product attributes, use cases, and differentiators clearly. Structured for natural language processing, not keyword density.
Map your product to Amazon's common-sense knowledge graph. Align your listing content with the intent categories COSMO uses to match products to shopper questions.
Rufus reads your reviews. We analyse review sentiment, identify gaps in positive attribute coverage, and build strategies to generate reviews that reinforce the product positioning Rufus picks up.
Rufus pulls from external web sources. We build the article, video, and press infrastructure that feeds Rufus additional product data — the same approach used in our GEO service for ChatGPT and Perplexity.
Amazon's Q&A section is a primary Rufus data source. We seed and optimise product Q&A with the exact questions shoppers ask, structured so Rufus can cite them directly in recommendations.
Restructure A+ content modules so comparison charts, ingredient tables, and benefit statements are machine-readable. Rufus extracts structured data from A+ more effectively than from unstructured description text.
Four-step process from audit to optimised listing.
We test 50+ buying-intent queries through Amazon Rufus to see where your product currently appears — and where competitors are getting recommended instead. This identifies the exact gaps.
Rewrite your listing for AI parsing: clear attribute extraction, natural language structure, factual density. Every element — title, bullets, description, A+, backend — gets rebuilt for Rufus.
Build the external content infrastructure that feeds Rufus: targeted articles, YouTube videos with optimised transcripts, press distribution. This is the layer most sellers completely miss.
Re-test Rufus queries at 30/60/90 days. Track which recommendations changed, which content is being cited, and iterate on gaps. Ongoing optimization, not a one-off fix.
10+ years of Amazon ranking experience, now applied to AI.
Request a free Rufus visibility audit — we'll test your product across 20 buying queries and show you exactly where you stand.
Request a proposal →A few quick details and we'll send a tailored proposal within 48 hours.
We'll review your details and send a tailored proposal.