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AI visibility service
BeCited
A one-analyst GEO audit service for brands that want to show up inside the AI answer, not just on the search results page.
BeCited is a premium AI visibility practice built around a calibrated mention-type rubric, four major AI engines, and 100–300 buying-intent prompts per audit. It is positioned for teams that need real evidence of where they appear, why, and what to do about it.
Generative engine optimization
One analyst, calibrated method, real audits.
BeCited is built for the moment when the search result page stops being the answer and the AI engine is. The work is auditing how a brand actually shows up inside ChatGPT, Claude, Gemini, and Perplexity for the prompts that move money.
Scope100–300 buying-intent prompts across four AI engines
MethodCalibrated mention-type rubric, scored consistently across runs
Built forBrands that want evidence, not vibes, about their AI presence
GEO auditsmention-type rubricfour-engine coveragebuying-intent promptsactionable findings
Why it exists
A lot of “AI SEO” right now is hand-waving. There is a lot of speculation about how generative engines pick sources and not a lot of disciplined measurement of what is actually showing up in the answer for the queries a buyer would type. BeCited exists to do the boring, repeatable version of that work and to do it well.
What it does
Each engagement is a focused audit: a defined prompt set tied to real buying intent, the same prompts run across four major AI engines, and every result scored against a calibrated mention-type rubric. The output is a clear picture of where the brand appears, where it does not, and which content moves are most likely to change the answer.
What makes it different
It is one analyst. The methodology is the product, not a dashboard. Findings come with the context a strategy team can actually act on, and the small surface area is a feature: nothing gets watered down through a sales channel or a scaled-up team.
Notes from building it
The most interesting part has been turning a noisy, probabilistic surface into something that holds still long enough to compare runs. The rubric, the prompt design, and the engine coverage all exist to make the audit reproducible enough to trust.