What concrete steps should I take to turn AI visibility signals into knowledge actions for a client?

Signals like discovery, retrieval, and referrals are evidence of AI activity, not guarantees of revenue. To move from signals to knowledge for a client, start by documenting a baseline of what has been observed and which approved facts it touches. Then build a simple, repeatable plan: 1) define a baseline set of signals (discovery, retrieval, referrals) and map them to the exact facts, Q&A, images, and structured information that exist today; 2) measure coverage: how many core questions are answered by approved content; 3) create a 'signals-to-actions' workbook: tasks to close gaps (add missing Q&A, update facts, add images, improve structured information); 4) run cadence: report changes over time and show the client a dashboard rather than promising sales. Be explicit about what you can conclude: you can say you’ve increased knowledge accessibility and consistency, with no claim that signals will translate into sales. If referrals or conversions occur, treat them as separate signals and report them only as observed; avoid person-level inferences.