Technical reference

The Visibility Council Standard

A governed framework for consistent corporate visibility assessment. The Standard establishes common evaluation requirements across the specialist disciplines represented by the Council, so that expert analysis remains evidence-based, comparable, auditable and consistent across engagements.

487 governed checks. 14 specialist disciplines. 18 corporate visibility pillars.

The 487 checks represent the complete Council assessment framework. Individual engagements apply the checks relevant to their selected disciplines and scope, while findings are mapped against 18 dimensions of corporate visibility. A Council report never claims that all 487 checks were completed unless every applicable discipline was reviewed.

VCS 1.0

Current version

487

Governed checks

14

Specialist disciplines

18

Visibility pillars

July 2026

Last reviewed

Purpose

Common evaluation requirements so specialist findings can be compared.

Evidence requirements

Each check defines the evidence a specialist must supply.

Discipline structure

Checks are grouped by the 14 specialist disciplines.

Scoring principles

Consistent scoring methods across disciplines and engagements.

Independence

Specialists submit findings before seeing other experts' conclusions.

Quality assurance

Findings are reviewed for evidence quality before synthesis.

Conflict of interest

Disclosure is required before an expert joins an engagement.

AI governance

Technology assists organisation and comparison; experts own conclusions.

Version control and review

Checks are versioned, peer reviewed and periodically revised.

Check database

Representative checks

VCS-TS-014Technical SEOApprovedVCS 1.0

Are commercial templates fully rendered without client-side execution?

Why it matters

Generative crawlers frequently do not execute JavaScript, removing pages from retrieval eligibility.

Evidence required

Rendered vs raw HTML comparison; crawler log sample

Scoring method

Percentage of commercial templates retrievable without JS

VCS-AI-007AI SearchApprovedVCS 1.0

What proportion of category recommendation prompts mention the brand?

Why it matters

Mention rate is the leading indicator of generative consideration.

Evidence required

Prompt set results across five platforms with dated captures

Scoring method

Mention rate across a standardised prompt set

VCS-EN-003Entity OptimizationApprovedVCS 1.0

Is the organisation represented with consistent, corroborated identifiers?

Why it matters

Entity confidence governs inclusion in knowledge panels and generative attribution.

Evidence required

Knowledge graph records, Wikidata, schema, SameAs set

Scoring method

Corroboration count and conflict count

VCS-CA-011Citation AuthorityApprovedVCS 1.0

Which third-party sources dominate category citations and is the brand present?

Why it matters

Citation source concentration determines which brands generative systems can recommend.

Evidence required

Citation extraction across the prompt set

Scoring method

Share of citations by source and by brand

VCS-CO-002Community DiscoveryUnder ReviewVCS 1.1 (proposed)

How is the brand represented in the communities most frequently cited?

Why it matters

Community sources are cited disproportionately relative to their authority.

Evidence required

Thread sample with sentiment and recommendation coding

Scoring method

Recommendation share within sampled threads

Governance

Checks progress through peer review.

Council members may propose new checks, frameworks, research, case studies, platform observations and scoring changes. Peers review, comment, challenge, approve or reject.

Proposed

Under Review

Approved

Deprecated