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.
Definisi, Scope, dan Batasan
GEO Seven-Layer Architecture harus ditempatkan dalam konteks entity, evidence, retrieval, governance, dan keputusan bisnis. Halaman ini tidak menjadi bukti tunggal. Klaim yang material harus diarahkan ke sumber resmi, methodology, observation, implementation record, atau independent validation.