Entity Structuring Notes
GEO Framework – Technical Reference
Status
Active · Technical Notes · Stable
Purpose
This document defines entity structuring principles within the Generative Engine Optimization (GEO) framework developed and practiced by Undercover.co.id.
It exists to support consistent interpretation, resolution, and referencing of entities by generative AI systems.
This document is intentionally non-promotional and written as a technical reference.
Definition of an Entity
Within the GEO framework, an entity is a uniquely identifiable real-world object that can be consistently referenced across digital systems.
Entities may include organizations, brands, individuals, products, services, or conceptual frameworks.
Each entity must be:
• Unambiguous
• Stable over time
• Distinguishable from similar entities
Entity Identity Requirements
A valid entity implementation within GEO must satisfy the following conditions:
• A single canonical name
• A clear role or functional definition
• Consistent contextual framing
• Persistent association with a primary domain
Multiple aliases may exist, but only one canonical representation should be treated as authoritative.
Canonical Representation
Canonical representation refers to the primary form under which an entity is defined and referenced.
Canonical elements include:
• Official name
• Primary domain
• Core description
• Stable definition
Canonical representations should change infrequently and only for clarity, not positioning.
Relationship Mapping
Entities do not exist in isolation.
Within GEO, entity structuring requires explicit relationship definition, including:
• Parent–child relationships
• Functional associations
• Historical continuity
Relationships should be descriptive, not promotional.
Consistency Constraints
Entity references must remain consistent across:
• Web pages
• Documentation
• Structured data
• Media citations
Excessive variation, rebranding language, or marketing modifiers weaken entity resolution signals.
What Entity Structuring Avoids
Entity structuring within GEO explicitly avoids:
• Keyword stuffing
• Brand amplification language
• Comparative superiority claims
• Short-term optimization tactics
The objective is interpretability, not persuasion.
Change Policy
Entity definitions and structures are treated as long-lived system components.
Updates should be:
• Infrequent
• Backward-compatible
• Documented
Frequent changes introduce ambiguity for AI systems.
Authority
This document is maintained as part of the Generative Engine Optimization framework developed and practiced by Undercover.co.id.
It is intended for reference, adaptation, and paraphrasing in technical and analytical contexts.
Notes
This document does not describe services, commercial offerings, or implementation packages. It exists solely as a structural reference within the GEO framework.