All use cases
Multi-Brand Retail

Thousands of SKUs, one wrong answer at a time

You carry the brands. You inherit their product copy. And when an assistant quotes the wrong spec or a stale price on one of them, the shopper buys it from whoever the assistant trusted instead.

Multi-brand retail assortment

Visibility at catalog scale

The question isn't whether some of your listings confuse AI. It's which ones, and which of those are worth your merchandising team's Monday.

Accuracy Per Brand

Answer quality isn't uniform across your catalog. See which brands and categories the assistants consistently get wrong.

Who Keeps Beating You

When an assistant recommends someone else for a product you carry, we record who and how often.

Queries You Never See

These shoppers never hit your search box, so your site search data can't tell you what they wanted. The tests can.

Ranked By Revenue

With thousands of SKUs, priority is everything. Fixes are ordered by what each one is worth per month.

Evidence you can take to the supplier

Half of what breaks came in with the brand's own product copy. When you can show a supplier the exact question, the exact wrong answer, and the revenue attached, that conversation gets a lot shorter.

  • Coverage across every brand and category you carry
  • Answer accuracy tracked per supplier, so you can take it back to them
  • Detection of which assistants drive traffic to which departments
  • Bulk repair of the pages behind recurring failure patterns
  • Category-level trend reporting for merchandising reviews
  • API access to fold findings into your existing reporting
Retail category management

Start with one category

Pick the department that matters most and see what the assistants say about it.

Ask AI to summarize