The AI Domain Data Standard is a pioneering initiative aimed at establishing an open, vendor-neutral standard for authoritative domain identity data utilized by AI systems, search engines, and other automated agents.

This repository serves as the working home for version 0.1 of the standard, complete with reference tooling and outreach materials.

Through this initiative, publishers can host their JSON records at https://<domain>/.well-known/domain-profile.json and have the option to mirror this data using the _ai.<domain> TXT record in a base64-encoded format.

Project Structure

The repository is organized as follows:

site/                 React/Vite workspace for generator + visibility checker
  checker/            Checker-specific UI + logic
  components/         Shared React components
  generator/          Generator-specific UI + logic
  src/                App shell + routing/entry files
  styles/             Global CSS + tokens
  index.html          Vite template
  package.json        Workspace manifest
spec/                 Human-readable spec, schema, and outreach content
  docs/               Intro, guides, adoption resources
  spec/               Canonical spec markdown + JSON schema
packages/            
  cli/                `aidd` CLI for init/validate/emit workflows
  resolver/           Node/TypeScript resolver SDK

Specification Details

The repository includes comprehensive documentation regarding the standard, which encompasses:

• Normative Spec: The core text governing the v0.1 release is located in spec/spec/spec-v0.1.md.
• JSON Schema: The canonical JSON schema is found in spec/spec/schema-v0.1.json, which includes an optional entity_type.
• Overview Resources: Plain-language introductions and guides for implementation are available, covering critical aspects such as the implementation overview and governance checklists for domain owners.

Development Roadmap

The current repository encompasses all necessary elements for the initial phases of the project:

1. Brand + Spec + Proof: Development of documentation, schema, generator, and checker.
2. Distribution + Influencers: Creation of resources aimed at enhancing clarity and outreach for standard adoption.
3. Minimal Implementation: Availability of CLI and resolver packages catering to self-hosted workflows.

Future integrations, such as a WordPress plugin or a GitHub Action, are anticipated and will be added once they are ready for public testing.