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.
- The Invisible 10: compliance vendors - ten funded B2B compliance vendors, 600 AI responses, zero citations of any of them. Plus the brands AI named instead.
- The Invisible 7: developer-tools brands - ten funded developer-tools brands. Seven scored zero; three broke through.
- The Invisible 8: data and analytics brands - ten funded data and analytics brands. Eight scored zero; two broke through.
Head-to-head
Two brands, the same buyer prompts, side by side: which one the engines cite more, per engine and per prompt.
- Linear vs Jira - project management for software engineering.
- Krispy Kreme vs Dunkin' - donuts and breakfast chains.
- Roto-Rooter vs Mr. Rooter - emergency plumbing.
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.