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Step-by-step builds you can run in your own org. Buildable workflows with the constraints and failure conditions named.

AI visibility scores are arriving faster than the methods behind them. We argue for a tracker you can rerun, and we run it on ourselves first: a fixed question set, a fixed logged-out protocol, an answer-share score anyone can audit. The pilot run already caught something.
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The pitch says AI search demands a new priesthood. The one controlled study and Google's own documentation say most of the work is editorial hygiene: direct answers, cited sources, real numbers, extractable sentences. Here is the checklist, the cadence to measure it, and the two parts that are genuinely new.
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