Citeable
Shows a brand how AI answer engines describe it, then drafts the fix.
The problem #
More buying decisions now start with a question typed into an AI assistant, and most brands have no idea what those assistants say about them or who they recommend instead. Traditional search tools measure rankings on a results page that fewer people see.
The approach #
Ask a fixed set of real buyer questions across several AI answer engines, record every answer, and have a judge score whether the brand is mentioned and where. Then turn the gap into a draft: content written to answer the exact question the brand is missing from.
Where it is now #
Private. It worked end to end and was verified on a demo brand in June 2026, then paused so the work could go into the products that already had users. Not launched.
What happens if this works #
Being cited by an AI assistant becomes a channel a team manages on purpose, measured every month the way search rankings are today.
Evidence #
- 216 sampled AI answers in the first study; the demo brand appeared in 0 percent of them while its category leader appeared in 92 percent
- n/a, not launched