V1.0
Principles
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Version: VGO V1.0 published methodology (release notes)
- Human First. Begin with real people and real needs, not platforms.
- Intent First. Identify meaningful intent and problem spaces before selecting optimization targets.
- Effectiveness First. Grow more Effective Visibility rather than maximizing raw exposure.
- Visibility is not value. Ranking, mentions, citations, and traffic are intermediate signals, not automatic proof of value.
- Effective SEO over ranking alone. Search visibility should help the right audience discover and understand an entity in valuable contexts.
- Effective AEO over answer appearances alone. Direct answers should be relevant, accurate and supported by checkable sources; presence alone is not user choice.
- Effective GEO over mentions alone. Generative visibility should support correct understanding, credible citation, meaningful comparison, and recommendation in relevant problem spaces.
- Owned assets and external signals reinforce each other. First-party assets preserve knowledge and learning; credible third-party sources provide distribution, corroboration, authority, and diversity.
- Evidence before assertion. Important claims should be supportable by first-party evidence or credible independent sources.
- Optimize for humans and machines. Machine readability must not degrade usefulness to people.
- Measure longitudinally without assuming causation. Observe change over time, but do not turn correlation into unsupported causal claims.
- Integrity constrains growth. Visibility gained by degrading truth, provenance, or trust fails VGO.
- Assets can accumulate; visibility changes. Organizations can retain content, knowledge, data, evidence, and learning even while rankings and AI outputs continue to change.
- Action requires an owner and a check. Recommendations should name the affected asset or source, responsible party, evidence, publication condition and verification method.
- Automate with reviewability. Automate repeatable observation and support for decisions and execution where appropriate; retain provenance, overrides and review for consequential changes.
- Maintain fact ownership and portability. Organizations should control, update and migrate core facts, evidence and learning across providers; credible third parties remain important corroborating sources.
- Learning is an output. Keep unsuccessful as well as successful actions and comparable observations to improve the next cycle.
- Open to new surfaces, conservative with new concepts. New terminology should solve demonstrated problems rather than expand the system unnecessarily.
