Governance artifacts
Governance files brought into scope by this page
This page is anchored to published surfaces that declare identity, precedence, limits, and the corpus reading conditions. Their order below gives the recommended reading sequence.
Bridge vocabulary
/bridge-vocabulary.json
Registry of market terms and their routes toward appropriate concepts, clarifications and boundaries.
- Governs
- Lexical translation between branding, reputation, visibility and interpretive governance.
- Bounds
- Automatic canonization of market terms and unsupported inferences.
Does not guarantee: Lexical routing creates neither evidence, model control nor favorable reputation.
serp-ownership.json
/serp-ownership.json
Published machine-first governance surface.
- Governs
- Part of the corpus reading conditions.
- Bounds
- An inference zone that would otherwise remain implicit.
Does not guarantee: This file does not, on its own, guarantee system obedience.
Semantic router
/semantic-router.json
Surface that orients reading toward the right parts of the corpus by intent type.
- Governs
- Discoverability, crawl orientation, and the mapping of published surfaces.
- Bounds
- Incomplete readings that ignore structure, routes, or the preferred markdown surface.
Does not guarantee: A good discovery surface improves access; it is not sufficient on its own to govern reconstruction.
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 artifactfamily-proof-requirements.json
- 02Evidence artifactsource-weighting-policy.json
family-proof-requirements.json
/family-proof-requirements.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.
source-weighting-policy.json
/source-weighting-policy.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.
AI reputation: what comes from the official site, third parties, reviews and history
An answer about company reputation may collapse four layers with different authority and time: official material, third parties, reviews and history. When they merge, the answer can sound convincing without being reconstructible.
Official site
Official material is competent for identity, current offer, policy, company position and declared corrective action. It is not independent reputation evidence. “Customers trust us” remains an official claim until an external method supports it.
Qualified third parties
Media, authorities, associations, studies, databases and partners may document events, comparisons and evaluation. Their weight depends on competence, method, attribution and date. External is not automatically superior: an old directory may be weaker than current policy, while a regulatory decision is stronger than promotional copy for an incident’s status.
Reviews
Reviews are attributed experiences, not general truth by default. Platform, sample, period, verification, distribution and bias matter. “Several reviews mention delay” cannot become “the company is known for delays” without method.
History
Reputation has memory. Rebrands, acquisitions, executives, discontinued products and incidents may continue structuring answers. The past should be neither erased nor presented as current. Dates and status must remain.
Faulty synthesis example
“X is reliable but controversial for security problems” may combine reliability from official copy, controversy inferred from a few articles and security from a five-year-old incident, with no current status. The sentence looks balanced while every claim lacks provenance or time.
Analysis grid
Record claim, source, date, status, attribution and permitted scope. Separate current identity, primary incident evidence, review sample, bounded reputation evaluation and official response.
Correct without laundering
A company may correct dates, identities, products, reversed decisions and false claims. It may publish its position and evidence. It must not turn its corpus into the arbiter of external criticism.
Governance preserves claim-class authority and contestability. An answer may remain negative while becoming more faithful.
Reputation monitoring
Track claims rather than sentiment alone: what is alleged, target entity, supporting source, date, official-position separation, repetition and language variation.
One may conclude that an output attributes a claim, omits a date, confuses an entity or privileges a source. One cannot automatically conclude that the output caused reputation or revenue loss.
AI reputation is not a narrative owned by the brand. It is a synthesis surface where source classes, attribution and time must remain visible.