First-party proof
Publish original research, documented outcomes, methods, specifications, benchmarks, customer evidence and data that only you can credibly provide.
Why it matters
Makes you trusted
A brand can be clearly understood and still be a weak recommendation. AI systems compare evidence, source quality, corroboration and specificity. Your own testimony matters, but it is still your own testimony. The stronger the proof, the less the system has to rely on unsupported self-description.
Core question
Publish original research, documented outcomes, methods, specifications, benchmarks, customer evidence and data that only you can credibly provide.
What to do
Prove Authority deliberately.
Expertise
Make authorship, credentials, reviewers and subject-matter ownership explicit. The expert should be an entity, not a byline-shaped decoration.
Corroboration
Earn independent reviews, testing, editorial coverage, expert citations, customer references and partner validation.
Reputation
Strengthen the places buyers already use to judge you, including relevant review environments, communities and industry sources.
Claim-to-proof mapping
For each important claim or relationship, identify the strongest owned evidence and the strongest independent evidence.
How to measure it
Use a baseline, not a vibe.
- Independent corroboration of priority claims
- Quality and specificity of customer proof
- Expert/entity recognition
- Source diversity
- Authority gaps versus competitors
Next step
Connect the pillar to the rest of MAPS.
Authority works best when the other conditions support it. Use the full audit to see whether the constraint actually sits here or somewhere else.