Category visibility
Track the buyer questions that define and narrow a category.
For ecommerce
Measure category and product recommendations, the competitors included, and the sources influencing the shortlist.

AI tools increasingly help shoppers understand categories, compare products, and narrow choices. Fihrist measures where your brand and products appear in that decision process, then connects the gap to content, product evidence, third-party sources, and technical accessibility.
Traditional analytics shows the traffic that arrives. It cannot explain a recommendation that sent the shopper elsewhere before the click. AI visibility measurement makes that earlier decision easier to see.
Track the buyer questions that define and narrow a category.
See the attributes and alternatives used in recommendations.
Find the external pages shaping product evidence.
Identify technical and structured-data gaps that make products harder to understand.
Agree on the brand, competitors, audience, and categories, products, and buyer needs before measurement begins.
Run the same buyer questions across the same AI engines, with every finding linked to the answer behind it.
Turn the findings that matter into source, content, brand, or technical priorities, then measure again.
No. It measures product and brand appearance in AI answers, which may draw from many retailers and independent sources.
It can make facts easier to interpret, but it is one part of a broader evidence and authority picture.
Yes. Questions can be organized around categories, needs, attributes, comparisons, and decision stages.
Request early access. We will help you define the market, competitors, and buyer questions worth measuring.
Request early access