The Invisible series

Each study takes a category, picks ten funded brands, and measures how often the AI engines cite them on standardized buyer prompts. We choose established, well-funded brands on purpose. If a company with real customers and real funding is absent from the answer, the gap is in how the engines pick their sources, not in the company being obscure.

Head-to-head

Two brands, the same buyer prompts, side by side: which one the engines cite more, per engine and per prompt.

How we run them

Every study uses the same method: real buyer-language prompts, run across the major AI engines with repeated trials, scored for whether each brand is named. Each one publishes its exact prompts and per-engine scores, so you can re-run it and check our numbers. It is the reproducible version of the 10-minute audit anyone can run, and the same approach behind our citation measurement work.

See where your brand stands

These studies measure other people's categories. To measure yours:

Try the Free Snapshot   See the SXO Audit

By the Web Cited Editorial Research Team. Last updated 31 May 2026.