Free tool

See your listing the way an AI assistant reads it

Paste a title, bullets and description. You get a 0–100 AI-readiness score, every rule it passed or failed with the reason, and what is worth fixing first. No account, no email, and nothing is stored.

Nothing is stored. No account, no email — the text is scored in memory and the result is the only thing that leaves this page.

Your result

Paste a listing on the left. The score lands here, with every rule it passed or failed and the reason for each.

What comes back

Three checks your copy alone can prove, worth 60 points between them.

  • Persona/use-case clarityof 25
  • Question-answering structureof 20
  • Comparison/differentiation languageof 15

Why this matters now

Amazon retired the Rufus name in May 2026 and folded it into Alexa for Shopping, which more than 250 million shoppers now use to find and compare products. An assistant does not scan a page the way a person does. It reads your listing as a set of facts and decides whether it knows enough to recommend you — who the product is for, what it does, what it works with, what problem it solves.

A listing written for keyword coverage can rank perfectly and still fail that test, because the assistant is looking for answers rather than terms. This score checks the six things that decide it.

Where the score comes from

It is a rules engine, not a language model asked for an opinion. Every point traces to a named check with a stated reason, the same engine that runs inside GBNOX Radar — so the number is stable, and two runs of the same listing give the same answer. That is also why the whole breakdown is on this page rather than behind a signup form: a score you cannot inspect is not worth much.

What Radar adds

This page tells you what is wrong. Radar writes the replacement copy from your own listing data, re-scores every change so you can see whether it worked, and tracks what happens to your keyword rank and buy box afterwards — on Amazon and Walmart, in one dashboard. Agencies get white-labeled reports and a login for each client.

Radar reads your listings through the marketplaces’ own APIs and does not scrape either of them, so nothing here puts your selling account at risk.