This documentation describes the public technical structure of the AIKA Framework for AI identity, knowledge modeling and answer alignment.
AIKA Framework Documentation
This page explains how AIKA operates as a structured AI identity and knowledge architecture. It covers the public specification layer: canonical identity files, structured entities, AI indexation, answer modules and discovery rules. Internal templates, client-specific implementations and governance playbooks are not included.
DOCUMENTATION OVERVIEW
One AI-readable structure
across AI systems
AIKA exposes identity, entities and answers as a single normalized layer. AI systems no longer reconstruct brands from fragments — they reference one canonical source.
Identity • Entities • Answers • AI Index • Governance • AEO-oriented design
What This Documentation Covers
AIKA is a layered architecture connecting identity, knowledge, answers, discovery and governance. This documentation describes the public specification layer only.
Standard AIKA File Layout
AIKA installs as a set of files alongside an existing website or platform. It does not replace a CMS — it introduces an AI-readable identity and knowledge layer.
The structure shown below represents a simplified public example. Full templates, mappings and governance files are part of the licensed implementation.
/llms.txt /.well-known/llms.txt /ai/ai.json /ai/ai-index.json /ai/entities.json /ai/services.json /ai/answers/ /ai/personas/ /ai/glossary.json /ai/casebase/ /ai-sitemap.xml /robots.txt
One identity source. One normalized knowledge layer. One AI index.