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Deeprank is an open specification for how AI systems can understand, compare, and select businesses in AI-mediated markets. It defines structured declarations that express selection eligibility and exclusion logic in machine-readable form.
A public specification, not a product. Complementary to AEO and GEO.
Documentation index
This site serves two audiences. Choose the path that matches your context.
Builders
For agent developers, AI product teams, and technical implementers.
Learn the reference model for machine-readable business profiles and selection logic.
Businesses
For operators and owners who want to express their identity for AI systems.
Learn how structured declarations can improve selection accuracy.
Specification scope
This site (deeprank.org) is the definition layer. It publishes the specification, controlled vocabulary, JSON Schema, and reference model. It does not generate, validate, or deploy profiles.
The specification is open and implementation-agnostic. Any AI product team, platform, or toolchain may implement it independently. For known implementations, see the Ecosystem page.
Core primitives
Key concepts referenced throughout the specification.
Deeprank Profile
Structured business identity declaration
AEO / GEO Relationship
How Deeprank complements AI optimization approaches
Capability Boundaries
Defining what a business can and cannot do
Methodology
Selection logic vs. ranking logic
Playbooks
Implementation guides by business type
FAQ
Common questions about scope, status, and positioning