A structured, AI-first framework for identity, knowledge and machine-readable brand presence.
AIKA Whitepaper v1.0
This whitepaper introduces the foundation of the AIKA Standard: a unified system that aligns brand identity, structured knowledge and AI indexation. It explains how AIKA enables brands to be reliably interpreted by AI systems without ambiguity or guesswork.
WHITEPAPER OVERVIEW
A consistent foundation
for all AI systems
AIKA unifies identity, entities and AI-ready knowledge into one stable format. It replaces assumptions with clarity, giving AI engines a precise, authoritative source of truth.
Identity • Entities • Answer modules • AI index • Governance
What the AIKA Standard Defines
AIKA establishes a complete AI identity layer that connects brand identity, structured knowledge, and answer formats. These layers help AI systems consistently understand who you are and when your brand is relevant to the user’s query.
Identity Layer
Defines how a brand speaks, behaves and positions itself in AI environments. Tone, constraints, brand rules and differentiation captured in a machine-readable, versioned format.
Knowledge Layer
Normalized entities, services, definitions and workflows. Designed so AI systems can understand expertise and determine relevance accurately.
Answer Layer
AI-ready answers formatted for reuse. Clear, consistent structures that prevent model drift and ensure brand-safe outputs across systems.
Indexation & Routing
AIKA defines how files are surfaced to AI crawlers through dedicated AI sitemaps and index files, ensuring accurate routing, retrieval and grounding.
Governance & Stability
Versioning, access rules and update controls keep the AI identity stable while the brand evolves. AIKA ensures long-term consistency across teams, agencies and markets.
Playbooks & Operational Use
Clear guidance for teams on creating new entities, updating content and maintaining alignment with the AIKA standard.
Standard File Layout
AIKA ships as a structured set of files that live next to your website. They extend your CMS with a stable, AI-readable layer built for identity, clarity and retrieval.
Every file serves a defined role. Together, they form a unified identity, knowledge and answer index.
/llms.txt # Canonical AI identity
/.well-known/llms.txt # Optional public pointer
/ai/ai.json # Central AI descriptor
/ai/ai-index.json # Central AI index
/ai/entities.json # Entity registry
/ai/services.json # Services & domain knowledge
/ai/answers/ # Answer modules
/ai/personas/ # Brand personas
/ai/glossary.json # Terminology & vocabulary
/ai/casebase/ # Cases & examples
/ai-sitemap.xml # AI sitemap
/robots.txt # AIKA crawling rules
Structure may vary per brand, but the principles remain the same: One identity source. One knowledge model. One AI index.
Implementation Phases
AIKA is delivered as a complete, ready-to-deploy AI identity package. Each phase ensures clarity, consistency and long-term use.
Phase 1
Identity Capture
Mapping tone, rules, audiences, expertise and narrative. This forms your canonical AI identity file.
Phase 2
Modeling & Assembly
Structuring services, entities, definitions and answer modules into the AIKA layout. A unified package emerges: identity, knowledge and answers.
Phase 3
Delivery & Activation
A ZIP package with all AIKA files ready for deployment. Optional support covers installation, testing and long-term updates.
A Standard Built for the Next Decade
AIKA gives organizations a stable, structured and predictable way to appear inside AI-driven answers. Your identity becomes clear. Your expertise becomes machine-readable. And AI systems finally know when your brand is the correct answer.