Protocol Specification v1.0
Deeprank is a protocol specification that defines how AI systems should correctly select or exclude businesses based on structured identity declarations. This is not a marketing framework. It is a reference standard for machine-readable business representation.
Selection over visibility. AI systems do not rank businesses for attention. They select or exclude based on whether a business fits a user's declared intent and constraints. Deeprank provides the protocol for this selection logic.
The conceptual foundation. How AI selection differs from traditional search and why businesses must declare themselves correctly.
The formal specification. A structured declaration of identity, capability, fit conditions, and exclusions that AI systems can parse.
Real-world examples of AI selection logic. How intent and constraints map to correct selection or exclusion decisions.
There is no keyword optimization, backlink strategy, or content manipulation. AI selection is based on declared fit, not visibility tactics.
AI does not produce ordered lists for browsing. It makes binary selection decisions: this business fits the query or it does not.
Deeprank does not help businesses appear more attractive. It helps them be correctly understood by AI systems.
There is no viral loop, conversion funnel, or user acquisition strategy. This is infrastructure documentation.