Original research

Who AI recommends

When a buyer asks an AI assistant which software to use, a handful of brands get named and the rest are invisible. We ask the assistants real buyer questions, category by category, and publish who gets recommended, how often, and which sources they lean on.

How each study works

Around fifty brands per category, from G2 and Capterra listings and the top search results. Twenty-five questions written the way buyers ask them: shortlists, constraints, alternatives, comparisons and validation. Each is put to the assistants through their official APIs with web search on, on 3 separate days, and we count which brands each answer names, in what order, and which sites it read. Every report publishes its full method, the questions and a CSV of the data.

Where does your brand stand?

We run the same check for one brand against its rivals, across the engines your buyers use, and fix what keeps it out of the answers.

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