VGO Framework 1.0

1. Purpose

VGO provides a common framework for organizations seeking durable visibility across search, generative AI and emerging discovery systems without sacrificing accuracy, provenance or trust.

2. Scope

A VGO program may cover websites, knowledge entities, product/service pages, editorial content, structured data, third-party media, citations, reviews, public documentation, answer-engine responses and agent-accessible resources.

3. Seven pillars

3.1 Search Visibility

Technical SEO, indexability, information architecture, query coverage, ranking, snippets and organic traffic.

3.2 Generative Visibility

Prompt/query coverage, answer inclusion, citation share, mention share, factual accuracy, contextual prominence and answer consistency.

3.3 Entity & Authority

Canonical identity, organization/person/product entities, source consistency, expertise evidence, first-party facts, reputable third-party corroboration and topical authority.

3.4 Content & Distribution

Useful source content, editorial coverage, digital PR, syndication with provenance, audience distribution and source diversity. VGO rejects deceptive mass publishing designed only to manipulate retrieval or generation.

3.5 Technical Accessibility

Crawlability, rendering, canonicalization, metadata, structured data, stable URLs, performance, machine-readable documents and access policies.

3.6 Measurement & Growth

Baseline measurement, visibility share, citation/mention share, query-set coverage, conversion outcomes, change attribution, experiments and longitudinal monitoring.

3.7 Visibility Integrity & Poisoning Defense

Source trust scoring, anomaly detection, factual consistency checks, impersonation/confusion monitoring, malicious-content detection, provenance tracking, correction workflows and recovery measurement.

4. Operating loop

Discover → Diagnose → Prioritize → Optimize → Distribute → Verify → Defend → Measure → Learn

The loop is continuous. A successful optimization is not complete until the resulting visibility is verified for accuracy and integrity.

5. Layers

• Foundation: technical accessibility + entity correctness.
• Acquisition: SEO + GEO + content/distribution.
• Authority: corroboration + citations + source quality.
• Integrity: poisoning defense + provenance + correction.
• Growth: measurement + experiments + business outcomes.

6. Principles

VGO should be evidence-led, source-aware, user-beneficial, measurable, reversible where possible, transparent about uncertainty and resistant to manipulative visibility tactics.

See the principles for the full principle set.

7. What VGO is not

VGO is not keyword stuffing, fake citation generation, mass low-quality publishing, fabricated consensus, cloaking, impersonation, prompt injection against third-party systems, or attempts to corrupt model/retrieval data.

8. Extensibility

Future VGO versions may add discovery surfaces such as autonomous agents, commerce assistants, vertical answer engines, multimodal search and machine-to-machine discovery without redefining the core objective: trusted visibility growth.