Generative engine intelligence
When buyers ask AI engines about your market, how often do you appear, get cited, and get recommended — and what evidence-backed work is worth doing next?
The unit of measurement is a commercially relevant question a prospect would ask an answer engine.
Every recommendation traces to a prompt, an engine response, a citation, or a page on your site.
We do not sell the idea that GEO can force ChatGPT to recommend you. We measure, diagnose, and test.
North-star metric
The percentage of commercially relevant buyer prompts for which your company is meaningfully recommended. Secondary: competitive share of voice against a named set of alternatives.
Workflow: domain → company discovery → competitor discovery → prompt suite → benchmark → website audit → sources → gaps → GEO score → prioritized plan.
Findings are labeled observed fact, inference, or recommendation. Causal language is withheld unless the evidence supports it.
Live engine connectors run only when you provide API credentials. Unsupported surfaces such as Copilot or Google AI Mode are never fabricated.
We infer the rest. Confirm the profile, then run the benchmark.