Guides
New visibility channels require measurement, but false precision creates bad decisions. These frameworks define observable inputs, document uncertainty and separate evidence collected directly from scores used only for prioritization.
The collection includes methods for entity recognition, AI visibility, citation audits, source-worthiness, authority compounding and brand-entity gaps. Each framework is intended to create a repeatable review process rather than a universal benchmark that cannot be independently verified.
Use these guides to establish a baseline, record changes and communicate why an action is being prioritized. Retain the underlying observations alongside any score so future reviewers can reproduce the conclusion and adjust the weighting as systems evolve.
10 published guides in this collection.