How should a business measure AI visibility beyond mentions and short-term metrics, including retrievals, citations and referrals?

AI visibility should be treated as a multi-signal construct. Start with three core signals: 1) retrievals — when the AI actually pulls content from your Public Business Brain and the connected Q&A network; 2) conversation citations — explicit references to your proofs and sources within AI outputs; 3) AI-driven referrals — sessions initiated by AI recommendations that land on your content. Build separate OTC dashboards for each signal, anchored to versioned facts and proofs, and link updates to a central Change Log so executives can see how content changes affect retrieval, citations and referrals. By proving not just that you’re seen but that AI actually uses and cites your knowledge, you gain auditable visibility and governance that scales across languages and locales.