Shopify launched Agentic Storefronts. We make AI agents recommend you - not just list you.
See the Shopify integrationUSE CASE · AMAZON RUFUS
Rufus, renamed Alexa for Shopping in 2026, is Amazon's AI shopping assistant. Tru Commerce measures where you stand in its answers across your category - and fixes the catalog signals that decide which products it recommends and adds to cart.
Amazon Rufus answers product questions inside the Amazon app and site by reading structured product data, reviews, and buyer Q&A - not ad spend. Tru Commerce tells you which queries surface you, which surface competitors instead, and what to fix first.
PROOF
+0.98%
AI Share of Voice lift for Amazon across 6 categories in 6 weeks - measured first-party (Tru Commerce case study)
On Amazon Rufus
01 · Discover
See every Rufus query in your category and whether it surfaces your SKU or a competitor's.
02 · Recommend
Fix the product-data, review, and Q&A signals Rufus reads - so it reaches for your product.
03 · Transact
Turn the recommendation into a completed order with agent-ready checkout, and measure the revenue.
What powers it
How Amazon Rufus works
Titles, bullet points, attributes, and A+ content are the raw material. Thin or inconsistent product data means Rufus has nothing specific to cite - so it cites someone else.
Rufus synthesises review sentiment and buyer questions to answer 'is this good for X?'. Your review and Q&A surface shapes whether you make the answer.
'Best running shoe for flat feet', 'gift for a coffee lover under $50'. These long-tail intent queries are where absent or generic catalogs quietly lose the basket.
Ranking #1 in Amazon search does not guarantee Rufus cites you. It is a separate mechanism - which is why you need to measure it separately.
What changed on Amazon Rufus
Updated 2026-09-18. Each item carries its own source and date; items marked observed are walkthroughs someone ran on the surface, not company disclosures.
2026-08-05
On the Q2 2026 call Andy Jassy said more than 350 million customers used Alexa Shopping during the past 12 months, active users nearly doubled in Q2 with interactions up more than 5× year over year, and US customers who use it spend more than 40% more per order.
Source: Amazon Q2 2026 earnings call, via Retailgentic, 5 Aug 2026
2026-08-05
Shoppers clicking a sponsored prompt "converted to a sale 48% more often and spent 21% more on average" than shoppers who did not, per the same call. The assistant now has a paid surface of its own.
Source: Amazon Q2 2026 earnings call, via Retailgentic, 5 Aug 2026
2026-09-01
Evercore's consumer survey: 57% say Amazon's AI shopping assistant helped them purchase a product they were not previously considering, and 55% use a retailer's built-in assistant against 48% for a general AI tool. Incremental discovery, not just a shorter journey.
2026-09-02
"Update Me When" lets a shopper leave an open brief (a launch, a release, a price) and have the assistant come back. Listings are evaluated on a cadence while nobody is looking, which makes attribute completeness a background job rather than a launch-day one.
Source: Scot Wingo, LinkedIn, 2 Sep 2026
Related reading on trucommerce.ai
Case study
FAQ
Rufus is Amazon's generative AI shopping assistant, built into the Amazon app and website. Shoppers ask it questions in natural language ('what's a good tent for beginners?') and it recommends products from Amazon's catalog, drawing on product data, reviews, and community Q&A. Amazon renamed it Alexa for Shopping in 2026; on its Q2 2026 earnings call Amazon said more than 350 million customers used it in the past 12 months and that US customers who use it spend more than 40% more per order (via Retailgentic, 5 Aug 2026).
Amazon search ranks listings on a results page you scroll. Rufus returns a synthesised answer that names a handful of products. The signals differ: search leans on keywords, sales velocity, and ads; Rufus leans on structured product truth, reviews, and how well your data answers the shopper's actual question. A top search rank does not guarantee a Rufus mention.
Yes - not by buying placement, but by improving the data Rufus reads: attribute completeness, benefit-led bullets, question-shaped content, and review/Q&A coverage for the use-cases shoppers ask about. Tru Commerce measures your current Rufus presence and prescribes the specific fixes ranked by expected lift.
Primarily your listing title, bullet points, product attributes, A+ / enhanced content, customer reviews, and posted Q&A. Consistency of your brand and product entity across these sources matters as much as any single field.
We track a representative set of category queries, record whether Rufus surfaces your products versus named competitors, and report your Citation Rank and Share of Voice over time - the same first-party measurement approach behind the Amazon result above.
