CitableHub — AI Discoverability Standard

Documentation and methodology for the Citability Score: A framework designed to help businesses and software projects become structured, understandable, and citable by modern AI search engines and LLM crawlers.

Overview

As the internet transitions from traditional search to AI-driven discovery, the "click" model is evolving into a "citation" model. CitableHub provides the structured layer necessary for AI systems to discover, verify, and reference digital entities.

Key Components

• Identity Verification: Structured business profiles using JSON-LD.
• Citability Score: A 0-100 metric based on Identity, Evidence, Trust, Freshness, and Classification.
• Machine-Readable Discovery: Native support for llms.txt, specialized robots.txt, and IndexNow protocols.

Resources in this repo

• specification.md: Technical implementation details of our AI-discovery layer.
• architecture.md: Overview of the entity-based discovery approach.

Official Platform

Visit CitableHub.com to explore the full directory and AI-citable profiles.