Editorial hub

AI Visibility

Treat answer samples as observations, not a census. Separate brand appearance, citation presence and claim support before comparing anything.

Published guidanceIssued By Market & Mention editorial desk
Conceptual editorial still life of prompt cards, citations and translucent panels for AI visibility research.
Editorial cover image. Conceptual illustration; not research evidence.

Who this section serves

For brand, search and research teams testing how entities appear in answer services while retaining prompts, outputs, denominators and uncertainty.

Evidence standard

The cornerstone guide defines measures. The protocol records how a planned 72-run pilot would be executed; the example record is synthetic and contains no service output.

How to use this section

Start with the measurement guide so appearance, citation and claim support remain separate. Then read the protocol before opening the synthetic record. A real wave would freeze prompts, service context and panel version before collection, preserve failed runs and show counts beside every rate. Compare matched samples only; do not turn a small answer test into a population estimate.

Limits of the evidence

Answers can vary by time, account, mode and location. A declared sample describes only itself. Appearance is not preference, citation is not support and support for one selected claim is not general accuracy.

Where to start

Forthcoming in this category

These transparent draft pages show what is being prepared and the evidence still required. They contain no findings or invented contributors.