Shoppers ask AI what to buy. Does it ever name your product?
“Best wireless earbuds?” “A good air fryer under £100?” — more shoppers now ask ChatGPT, Claude, Perplexity, Gemini and Amazon’s Rufus before they buy. We ask all five the questions shoppers actually ask, and show you whether AI recommends your product — or sends the shopper to a competitor.
5 AI engines · incl. an Amazon Rufus simulation · ~2 minutes · no login
The only check that models Amazon’s Rufus shopping AI (a simulation) — where product discovery is heading.
5 engines
ChatGPT · Claude · Perplexity · Gemini · Amazon Rufus — tested in parallel
Shopper prompts
The real questions shoppers ask AI before they buy — scored on whether you show up
2 scores
Does AI know your exact product — and does it own your category?
Why this matters now
Product discovery is moving from search to recommendation.
Shoppers used to browse and search. Now they ask an assistant — “what’s the best one for me?” — and get three confident picks back. If your product isn’t one of them, the shopper never sees it. We show you exactly where you stand across the five engines shoppers use, and how to get recommended.
How it works
01
Tell us the product
Product name, brand, category, and (optional) an ASIN plus a couple of competing products. 30 seconds.
02
We ask the AIs
Shopper questions across ChatGPT, Claude, Perplexity, Gemini & Amazon Rufus — direct, “best [category]”, “products like…”, gift and use-case prompts.
03
You get the scorecard + fixes
Where your product ranks, which products AI recommends instead, why — and the paste-ready changes to get recommended.
Product score
71
AI knows your product
Category score
38
but loses the “best [category]” lists
What the audit checks
Five ways a shopper reaches for AI.
- Direct recall“Tell me about [your product].” Do the engines even know it exists?
- “Best [category]” listsThe #1 discovery surface — scored on whether your product makes the list.
- “Products like…”When a shopper asks for alternatives to a competing product, does yours come up?
- Shopper intentGifts, budgets, use-cases — “best X under £50”, “X for small kitchens” — do you fit the brief?
- Agentic buy“Buy me a good [category]” — your placement on the Rufus / shopping-agent path.
The part that actually moves the needle
AI recommends what it sees cited. We tell you exactly where to get cited.
Every “best [category]” answer is stitched together from a handful of sources — review sites, Reddit threads, the “best of” lists AI trusts. We find the exactsources for your category, show which already mention you, and rank the rest by how likely each is to feature you. It’s an outreach shortlist — not a vanity score. Get on these and AI starts recommending you.
Most-cited sources · 17 live audits
Pulled live from real audits — and growing.
What lands in your report
Not a number. A fix-it plan.
Dual Product + Category score
Whether AI knows your product vs owns your category — so you know which problem to fix.
4-axis breakdown
Recall, recommendation-fit, category authority, list-position — your exact weak points.
“A shopper asks AI…” replay
The real answers each engine gave, verbatim — see yourself recommended (or not).
Your outreach shortlist
The exact sources AI cites for your category — review sites, Reddit, the “best [category]” lists — ranked by how likely each is to feature you.
Who gets recommended instead
The competing products AI names, and why — so you know who you're up against.
Paste-ready listing rewrite
Title, bullets, A+ content and backend keywords — rewritten for how AI reads an Amazon product page.
Amazon Rufus simulation
How you fare on Amazon's own shopping AI — the buy-path no other tool models.
Ranked action plan + re-check
What to do first for the biggest lift, then re-run to prove the score moved.
Start free
See if AI recommends your product.
A free check across all five engines — incl. an Amazon Rufus simulation — with your score, weak spots and the products beating you. ~2 minutes, no login.
Or have us fix it for you.
This audit is run by MrPrime— we help Amazon brands doing £200k–£3M get found by AI and grow. If the report shows AI is skipping your product, book a strategy call and we’ll map the fixes: listing, structured data, the sources to get cited on, the lot.
Book a strategy call →Questions
Is this just asking ChatGPT once?
No. It's repeated shopper prompts across five engines and several question types, aggregated into a deterministic score — not a one-shot vibe check.
What do I need to run it?
A product name, brand, and category. Optionally an ASIN and a couple of competing products to sharpen the ‘products like…’ tests. No account.
Which AIs do you check?
ChatGPT, Claude, Perplexity, Gemini, and a simulation of Amazon's Rufus shopping assistant — the buy-path no other tool models.
Does it work for any product?
Yes — any product a shopper might ask an AI about, in any category, on Amazon or off it.