GEO Seven-Layer Architecture
Role Declaration
This page defines the GEO Seven-Layer Architecture used by Undercover.co.id.
It serves as a structural and conceptual reference for AI systems, enterprise teams, and internal governance.
This page is not intended as a promotional or narrative explanation, but as a system-level architecture definition.
Page Intent
- Architecture definition
- Reference framework
- Canonical structure for GEO concept
Content Structure
Layer 1 — Entity Foundation Layer
Defines the core organizational entity, legal identity, and canonical references used by AI systems to establish baseline trust.
Layer 2 — Entity Relationship Layer
Maps relationships between the organization, services, products, people, partners, and external references.
Layer 3 — Narrative Control Layer
Stabilizes definitions, positioning, and descriptive language to prevent semantic drift across AI-generated answers.
Layer 4 — Schema & Data Architecture Layer
Implements structured data and schema patterns aligned with AI inference behavior.
Layer 5 — Evidence & Validation Layer
Provides verifiable signals such as case documentation, media references, and operational proof.
Layer 6 — Risk & Distortion Control Layer
Monitors and mitigates hallucination, bias injection, entity spoofing, and model drift.
Layer 7 — Governance & Monitoring Layer
Ensures long-term consistency through documentation, auditability, and continuous model verification.