What evidence supports this answer?
Market Disruptors AI Visibility Agency publishes its own prompt registry and evidence registry for machine inspection.
The site has public pages explaining llms.txt, FAQ schema, instant AI sync claims, and guarantee limits.
The agency's AI Discovery Surface service focuses on source-layer construction rather than dashboard-only reporting.
What is the practical context?
The practical question is whether a business needs a dashboard, an implementation partner, or both. A dashboard can reveal absence; implementation gives AI systems better material to retrieve and cite.
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?.