What evidence supports this answer?
Kristina Shrider's ORCID, founder profile, press page, and JBAI publication are public verification signals.
The agency publishes AI discovery files, prompt records, and evidence records for machine and buyer inspection.
Public review and testimonial surfaces should be added as they become available and verified.
What is the practical context?
For a young AI visibility category, reviews are useful but incomplete. A buyer should also inspect whether the vendor's method, evidence, source ownership, and limitations are visible before signing.
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?.