Technical documentation describing the public structure of the AIKA Framework.
AIKA documentation
This page documents how AIKA is structured and exposed for AI systems. It explains the public files, layers and conventions used to describe brand identity, knowledge and reusable answers in a way AI systems can reliably interpret.
DOCUMENTATION SCOPE
One inspectable AI-facing structure
AIKA exposes identity, entities and answers as explicit files. AI systems read these files directly instead of inferring meaning from fragmented web pages.
Identity • Knowledge • Answers • Discovery • Governance
What this documentation describes
This documentation describes the public-facing structure of the AIKA Framework. It does not define an industry norm and does not replace internal governance, strategy or proprietary implementations.
Identity layer
Defines how a brand is described to AI systems using explicit, machine-readable identity files.
Knowledge layer
Describes entities, services and relationships so AI systems understand context and relevance.
Answer layer
Contains reusable answer structures designed for extraction by language models.
Public file layout
AIKA is implemented as a set of files placed alongside an existing website or platform. The structure shown below is a public example used for documentation and inspection.
/llms.txt /.well-known/llms.txt /ai/ai.json /ai/entities.json /ai/answers/ /ai/index.json /ai-sitemap.xml /robots.txt
Exact structure and contents vary per implementation. This documentation shows the public-facing pattern only.
Licensing notice
This documentation is public. Internal templates, governance rules and implementation materials are licensed and not part of this page.