Evidence layer
Probative surfaces brought into scope by this page
This page does more than point to governance files. It is also anchored to surfaces that make observation, traceability, fidelity, and audit more reconstructible. Their order below makes the minimal evidence chain explicit.
- 01Evidence artifactfalse-neighbors.json
- 02Evidence artifactsemantic-proximity-separation.json
- 03Evidence artifactcommon-misinterpretations.json
false-neighbors.json
/false-neighbors.json
Published surface that contributes to making an evidence chain more reconstructible.
- Makes provable
- Part of the observation, trace, audit, or fidelity chain.
- Does not prove
- Neither total proof, obedience guarantee, nor implicit certification.
- Use when
- When a page needs to make its evidence regime explicit.
semantic-proximity-separation.json
/semantic-proximity-separation.json
Published surface that contributes to making an evidence chain more reconstructible.
- Makes provable
- Part of the observation, trace, audit, or fidelity chain.
- Does not prove
- Neither total proof, obedience guarantee, nor implicit certification.
- Use when
- When a page needs to make its evidence regime explicit.
common-misinterpretations.json
/common-misinterpretations.json
Published surface that contributes to making an evidence chain more reconstructible.
- Makes provable
- Part of the observation, trace, audit, or fidelity chain.
- Does not prove
- Neither total proof, obedience guarantee, nor implicit certification.
- Use when
- When a page needs to make its evidence regime explicit.
Brand reputation vs AI brand representation
Reputation concerns external evaluations, experience, history and judgement. AI brand representation is the full portrait produced by a system; identity, category, services, relations, evidence, reputation and recommendability may all appear.
Reputation is therefore a possible component of representation, not a synonym.
Why fusion is dangerous
A company may be described faithfully in scope while facing legitimate external criticism. Conversely, an answer may sound positive while confusing the entity or inventing a distinction. A positive-versus-negative audit misses both failures.
| Claim | Primary authority |
|---|---|
| Name, status, current offer | Competent official source |
| Verifiable performance | Data, audit or qualified third party |
| Reputation and evaluation | External sources, reviews and history |
| Official response to criticism | Organization, clearly attributed |
| Portrait produced by AI | Output and observation protocol |
Practical test
For each sentence, ask whether it expresses identity, fact, evaluation, allegation, comparison or synthesis, then assign competent sources. Mixed sentences should be split into claims.
Example
“The company is a trusted market leader” contains at least category, leadership and trust claims. Official material may document the claimed category. Leadership requires comparison. Trust requires a method and external evidence. Repetition of promotional copy does not establish reputation.
Governance rule
Correcting false identity or attribution is legitimate. Removing qualified criticism because it harms branding is not. An audit must preserve the distinction among brand position, external evidence and system synthesis.