Show up in Amazon's AI shopping assistant.

• 300M+Shoppers who used Amazon's AI assistant in 2025
• +210%Year-over-year growth in interactions
• 80–85%Of discovery is still keyword search

What is Amazon's AI shopping assistant called?

It is called Alexa for Shopping. Amazon renamed Rufus to Alexa for Shopping on May 13, 2026, folding the shopping chatbot into its Alexa+ assistant. The old Rufus name and its separate chat window are gone, but the product expertise carried over. If you still see "Rufus" referenced anywhere, it is the same assistant under its former name.

It is Amazon's conversational AI shopping assistant. Shoppers ask it questions in plain language, "what's a good cold-weather running headband?", and it recommends specific products by reading detail pages, reviews, and Q&A.

Where does the Amazon shopping assistant appear, and how does it pick products?

The assistant, sometimes searched for as the "Amazon shopping helper," now sits in the main search bar and writes the AI overview above the results, rather than living in a separate window. You will find it in three places: on Amazon.com search and product pages, in the Amazon mobile app, and on Alexa-enabled Echo devices.

It picks products by reading the whole detail page, not just the title: structured attributes, bullets, A+ Content, images, ratings, and answered questions. It weighs how completely a listing answers the shopper's actual intent, then recommends the products it can match with confidence. Thin or ambiguous listings simply do not get surfaced.

How AI recommendations differ from Amazon search

Amazon's classic search matches keywords and rewards conversion. The AI assistant reads for meaning: who the product is for, what problem it solves, and whether the page answers the shopper's specific question. Keyword stuffing helps the first and hurts the second.

How to optimize your listing for the AI assistant

Make every fact the assistant might need explicit and structured. The brands that win give it clean material to quote.

• Fill in every structured attribute: material, size, use case, certifications.
• State use cases plainly ("for cold-weather running," "for sensitive skin").
• Cover information completely, don't make the shopper infer it.
• Keep ratings high and reviews current; the assistant weighs social proof.
• Write A+ Content in clear, factual language the assistant can read.

What machine-readable proof looks like on a real listing:

Add answered Q&As, the highest-leverage move

The single fastest win is adding 10–15 answered questions that target the most common things shoppers ask in your category. Sellers doing this report conversion lifts of roughly 20–35% within 30–60 days, because the assistant, and shoppers, get direct answers instead of guessing.

What is Amazon COSMO, and why does it change optimization?

COSMO (Common Sense Knowledge Generation and Serving System) is the model behind the assistant's sense of context. Published by Amazon at SIGMOD 2024, it maps millions of commonsense relationships between products, intents, use cases, audiences, events, and locations, so Amazon understands not just what a shopper types but why.

Practically, that means writing for the who, what, when, and where, not just keywords. A product "for cold-weather running," "for sensitive skin," or "for a first apartment" gives COSMO the context to match you to intent-driven and ambiguous queries. Cover the use cases, occasions, and audiences your product actually fits, in plain language, and the assistant has something to reason with.

How do Sponsored Prompts fit in (the paid lane)?

There is now a paid way to appear inside the assistant. On March 25, 2026, Amazon moved Sponsored Products and Sponsored Brands prompts to general availability in the US and made them billable under standard cost-per-click. After a free beta that began in November 2025, showing up in the assistant's answers competes for budget like any other placement, and eligible campaigns were enrolled automatically.

Prompts can surface in shopping results and on product detail pages; when a shopper engages, the prompt opens a dialog in the assistant or answers on the page. Organic optimization still decides whether the assistant recommends you unpaid, but the paid lane is worth testing. See our 2026 ad-formats guide for where it sits in the wider ad stack.

Does keyword SEO still matter?

Yes, roughly 80–85% of discovery is still traditional search as of 2026. The AI assistant is additive, not a replacement. Do both: keep titles, bullets, and backend terms sharp for search, and add structured, use-case-rich content for the assistant.