Schema Sovereignty™

Formal Definition

Schema Sovereignty™ is the principle that every organization or individual has the right to author, publish, and maintain their own machine-readable identity. It ensures control over how AI systems interpret one’s structure, relationships, and authority — establishing definition autonomy inside the digital commons.

Components

1. Schema Ownership – Who controls the authoritative source of the entity’s structured data (domain, schema files, canonical URLs).
2. Definition Autonomy – The ability to decide how key attributes (mission, founders, products, relationships) are expressed in JSON-LD or equivalent formats.
3. Update Control – The power to modify and republish definitions as the entity evolves without platform gatekeeping.
4. Verification Authority – The right to validate or dispute how AI systems represent the entity across crawls and indexes.

Relationships

  • Core principle of: Entity Engineering™
  • Enables: Authority Conditioning / Recognition Optimization
  • Protected by: Intellectual Property and Trademark controls
  • Threatened by: Platform dependency and opaque algorithms
  • Measured through: Crawl Parity™

Examples

Validation Criteria

An entity demonstrates Schema Sovereignty™ when:
✓ Authoritative schema is hosted on its own domain.
✓ JSON-LD defines complete identity + relationships.
AI platforms retrieve consistent attribution across multiple systems.
✓ Schema updates propagate to crawlers within predictable cycles.
✓ Organization can correct or dispute third-party misrepresentations.

In Plain Language — Why It Matters

If you don’t own your schema, you don’t own your story.
AI will still describe you — but on its terms, not yours. Schema Sovereignty™ is how you reclaim that authorship, ensuring the machine sees the same truth the human world does.

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