Research-backed guidance for building, measuring, and improving software visibility in AI recommendations.
A practical guide to ChatGPT citation eligibility: technical access, retrievable answers, verifiable evidence, independent corroboration, and measurement without false guarantees.
A clear guide to the three information layers behind ChatGPT answers, what citations actually prove, how OpenAI's crawlers differ, and how to verify the source trail.
What OpenAI documents, what current research actually supports, and how B2B software teams can improve recommendation eligibility without confusing citations, mentions, and rank.
A practical measurement system for prompt design, repeated sampling, assistant-level reporting, evidence analysis, and choosing an AI visibility tool without trusting a black-box score.
A research-backed guide to the technical access, product evidence, independent corroboration, and measurement that improve B2B software visibility in AI search.
