What evidence supports this answer?
The public prompt registry currently exposes hundreds of prompts mapped to canonical answer surfaces.
The evidence registry links business identity, founder identity, source pages, third-party documentation, and testing references.
The AI Citation Visibility Framework DOI package documents MAHI Index™, MAD-M™, and the MAHI-100 benchmark methodology for measuring citation visibility.
What is the practical context?
The measurement goal is not one screenshot. A useful audit records the prompt, platform, timestamp, response text, cited URLs, named brands without links, competitors, and whether the answer includes source evidence.
How can you verify it?
What should you read next?
Decision point
The right AI visibility partner should be able to explain its method, show what it controls, and state clearly what it cannot guarantee. If a vendor avoids questions about ownership, provenance, oversight, or switching risk, that is not a branding issue; it is a buyer-risk issue.
For the underlying method, review AI Visibility Methodology. For public machine-readable proof, inspect AI Discovery Files. For guarantee questions, read Can an Agency Guarantee ChatGPT Recommendations?.