AI Discoverable Directory
A directory designed for AI systems to understand when to recommend a business — and when not to. AI Discoverable provides structured, crawlable profiles that declare relevance, constraints, and context without rankings, ads, or SEO manipulation.
AI Discoverable provides structured data that AI assistants, LLMs, and autonomous agents can parse and understand. Each profile declares what a business does, who it serves, and explicit guidance on when AI should (or should not) recommend it.
Every profile contains clean HTML and JSON-LD metadata using Schema.org vocabulary — no login walls, rate limits, or JavaScript required to access.
Machine-Readable Data Endpoints
For AI agents and automated systems, structured data is available in multiple formats:
- Full Dataset (JSON): dataset.json — All published profiles as structured JSON-LD
- Individual Profile (JSON): profiles/{slug}.json — Single profile with full Schema.org markup
- Individual Profile (HTML): p/{slug} — Crawlable HTML page with embedded JSON-LD
- LLM Instructions: llms.txt — Plain text reference for AI systems
- Trust Policy: trust — Verification and data integrity policy
Featured Profiles
Browse individual business profiles (crawlable HTML):
View all profiles in the dataset →
What Profiles Include
- Business name, description, and tagline
- Target audience and primary problem solved
- When AI should recommend this business
- Who this is NOT for (explicit exclusions)
- Typical use cases and constraints
- Pricing range and service area
- Verification status (ownership verification, not ranking)
- Contact information and social links
Why This Directory Exists
Traditional directories optimize for human eyeballs and ad revenue. AI Discoverable optimizes for machine understanding. When an AI assistant needs to recommend a service, it shouldn't have to guess based on SEO tricks — it should have access to explicit, structured declarations about who a business serves and when it's the right fit.