Product-level Recommendation Share
Which products do AI engines recommend in your category?
When a shopper asks ChatGPT for the best men's jeans, the most comfortable office chair, or the running shoe for flat feet, there's only one #1 answer. We measure how often it's your SKU, across ChatGPT, Claude, Gemini, and Perplexity, and tell you exactly what to deploy to flip more queries.
What you'll get back
01
Recommendation Share, what % of shopper queries name your product as the top pick
02
Engine breakdown, which AI engines recommend it, and which don't
03
Top competing products, the SKUs winning the queries you should
04
5 counter-actions, specific content/page/listing moves to deploy
Run a free product scan
~ 90 seconds · 4 engines · 60 queries
Scanning your product
Initializing…
Generating shopper queries
Querying ChatGPT
Querying Claude
Querying Gemini
Querying Perplexity
Scoring product visibility
Computing Recommendation Share
Building counter-actions