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Framework

Identity, image, reputation and AI representation matrix

Matrix separating brand objects, authority roles, evidence and observable AI outputs.

CollectionFramework
TypeMatrix
Layertransversal
Version0.1
Stabilization2026-08-08
Published2026-08-08
Updated2026-08-08

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.

  1. 01Claim application profiles
  2. 02family-proof-requirements.json
  3. 03source-weighting-policy.json
Policy and legitimacy#01

Claim application profiles

/claim-application-profiles.json

Profiles connecting question families, claim classes, required sources and admissible outputs.

Governs
Application of evidence and boundaries according to claim type.
Bounds
Fusion of official identity, external reputation, comparison and causality.

Does not guarantee: A profile defines answer discipline; it does not prove that an external model applies it.

Artifact#02

family-proof-requirements.json

/family-proof-requirements.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.

Artifact#03

source-weighting-policy.json

/source-weighting-policy.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.

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.

  1. 01
    Canon and scopeDefinitions canon
  2. 02
    Evidence artifactclaims.json
  3. 03
Canonical foundation#01

Definitions canon

/canon.md

Opposable base for identity, scope, roles, and negations that must survive synthesis.

Makes provable
The reference corpus against which fidelity can be evaluated.
Does not prove
Neither that a system already consults it nor that an observed response stays faithful to it.
Use when
Before any observation, test, audit, or correction.
Artifact#02

claims.json

/claims.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.
Artifact#03

official-vs-external-source-conflicts.json

/official-vs-external-source-conflicts.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.

Identity, image, reputation and AI representation matrix

This matrix prevents a brand audit from collapsing distinct objects into one vague idea of “perception.” For each object, it identifies who may declare it, which evidence is required, what an AI output can reveal and which inferences remain forbidden.

Overview

Object Operational definition Primary source Brand may declare External sources required Observable in AI output
Official identity Current name, status, offer, scope and policy Organizational canon Yes Useful corroboration Yes
Intended positioning Claimed place, audience, category and difference Brand and offer evidence Yes Market validation not automatic Yes
Brand image Associations formed among audiences External research and reception Partly Yes Indirectly
Reputation Evaluation, history, trust and criticism Qualified external sources No, except attributed position Yes Yes
AI representation Portrait produced in an output Output, context and protocol No Sources must be qualified Yes
Representational fidelity Preservation of identity, boundaries and authority Canon + outputs + evidence Not by declaration alone Claim-dependent Yes, by comparison

Step 1: identify the claim object

“The trusted market leader in industrial cybersecurity” contains at least a claimed category, a leadership comparison and a reliability evaluation. The first may be documented through canon and offer. The second requires comparative method. The third requires indicators or external evidence. Authority from the first clause must not flow into the others.

Step 2: assign a source class

Claim class Competent default source Failure to avoid
Legal name, contact, current policy Official source More visible outdated directory
Declared offer and exclusions Official source and offer evidence Affiliate promotion
Measured performance Audited data or competent third party Isolated testimonial as statistic
Reputation or criticism Qualified external sources Brand self-description
Comparison Method and comparable corpus Ranking without methodology
System output Reproducible capture or log Remembered paraphrase
Commercial effect Causal data or triangulation Output variation turned into loss

Step 3: compare without forced fusion

Build three columns: dated reference claims; observed output with sources and context; and qualified gap such as omission, contradiction, generalization, misattribution, time, relation or non-implication.

Each gap receives a status: confirmed, probable with incomplete evidence, acceptable variation, inconclusive, legitimate external disagreement or uncorroborated official claim.

Full example

A company declares itself a Québec manufacturer of medical devices for clinics. An answer calls it “a Canadian consumer wellness brand” and says it is “widely appreciated.”

The matrix separates identity, category, audience, reputation, overall representation and fidelity. Category and audience are materially drifted; the reputation claim is unsupported; geographic wording may be contextually acceptable.

A generic “branding” intervention would be too broad. Corrections may involve product category, B2B architecture, third-party sources and product-line disambiguation.

Use by function

Marketing clarifies brand invariants. SEO locates canonical pages and historical contamination. PR and legal qualify external claims and preserve documented contradiction. Governance versions the canon, records protocol and blocks reputation self-certification.

Limits

The matrix does not automatically measure brand-equity impact, turn official sources into universal truth, label stylistic difference as drift or require identical answers. It supplies a decision architecture: which object, which authority, which evidence, which gap and which legitimate conclusion?