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 artifactbridge-vocabulary.json
- 02Evidence artifactconcept-registry.json
- 03Evidence artifactserp-ownership.json
bridge-vocabulary.json
/bridge-vocabulary.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.
concept-registry.json
/concept-registry.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.
serp-ownership.json
/serp-ownership.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 branding, reputation and representation glossary
This glossary translates the language used by marketing, brand, communications, PR, SEO, legal and executive teams when they try to understand what AI systems say about a brand.
It does not turn every market expression into doctrine. Each entry identifies its status, primary route, main confusion risk, and what the term must not be used to infer.
| Term | Status | Operational meaning and primary route | Must not imply |
|---|---|---|---|
| AI branding | Market term | Broad family of brand questions affected by generative mediation. See the hub. | That branding controls external models. |
| AI brand representation | Canonical concept | A brand portrait produced from sources and inference. Definition. | That one observed answer equals general reputation. |
| AI brand perception | Bridge term | Observable way a system frames and describes a brand. Bridge definition. | That a model has human perception. |
| AI-mediated brand image | Cautious shorthand | The synthetic portrait visible in generated answers. See identity, image and representation. | That this is the image held by every audience. |
| AI brand reputation | Bridge term | Reputation claims, evaluations and history reproduced by AI. Definition. | That first-party sources can certify reputation. |
| AI brand safety | Bounded bridge term | Risk created by damaging or misleading association, attribution or framing in an answer. Definition. | That every negative statement is drift. |
| Brand safety in AI answers | Preferred formulation | Brand risk located inside the synthesized answer rather than only beside advertising. | That absence of ads removes brand risk. |
| AI brand monitoring | Bridge term | Repeated observation of outputs, citations, categories, competitors and sentiment. Definition. | That monitoring is governance. |
| LLM brand monitoring | Alias | Manual or instrumented surveillance of LLM outputs about a brand. | That a small prompt set represents every use. |
| AI brand sentiment | Partial metric | Positive, neutral, mixed or negative tone in an output. See perception versus sentiment. | That positive tone means faithful representation. |
| AI-mediated brand positioning | Bridge term | Category, role, differentiators and comparison set attributed by systems. Definition. | That intended positioning has been validated by the market. |
| Brand consistency in AI | Useful false neighbour | Apparent stability of generated descriptions. See consistency versus stability. | That consistent answers are necessarily true. |
| Brand representational integrity | Proposed concept | Preservation of identity, scope, time, boundaries and authority roles. Proposed definition. | That it is a standardized industry score. |
| AI brand narrative | Cautious shorthand | Recurring frame through which answers tell the brand. | That the brand owns or controls that narrative. |
| AI brand misrepresentation | Symptom | Factual, categorical, relational, temporal or scope distortion. See the taxonomy. | That any disagreement with marketing language is an error. |
| AI share of voice | Visibility metric | Comparative presence in a defined prompt corpus. | That the brand is understood, credible or recommendable. |
| Brand recommendability | Interpretive dimension | Observable tendency to propose a brand for a defined intent. | That a recommendation is stable or legitimate. |
| Category drift | Canonical concept | Movement of an entity into an unsuitable category. Definition. | That every category variation is wrong. |
| Representation gap | Measurement object and hub | Distance among expected representation, evidence and observed output. Hub. | That a gap proves commercial loss. |
| Canon-output gap | Canonical concept | Documented difference between a dated canon and a dated output. Definition. | That the canon governs every external claim. |
| Interpretive fidelity | Doctrinal criterion | Preservation of meaning, boundaries, authority and non-implication. | That fidelity requires literal repetition. |
| Brand grounding | Emerging expression | Documentary or factual anchoring of AI answers. | That grounding forces an answer or suppresses external evidence. |
| AI brand equity | Consequence hypothesis | Potential risk to trust, differentiation or consideration. | That output variation proves financial loss. |
Usage rule
Keep the market term long enough to understand the symptom, then route it to the correct object: identity, reputation, source, representation, drift, sentiment, category, evidence or governance.
Entry vocabulary makes the problem recognizable. It must not become a promise of control over external systems.