The Intelligent Entity Skeleton: An Engineering Framework for AI Visibility and Business Identity
Year: 2026
Type: article
Abstract: The Intelligent Entity Skeleton is a proposed engineering framework for representing a business as a coherent, expandable network of machine-readable entities, relationships and corroborating evidence. The framework distinguishes three related but separate dimensions of AI visibility: machine understanding, selection in AI-generated responses, and independent corroboration of business identity. It describes an architecture connecting business, website, person, service, content and location entities through stable identifiers and verifiable relationships. External profiles, citations and institutional references provide additional corroboration where they genuinely identify or substantiate the same business. A four-layer validation model examines structured-data syntax, rendered output, entity graph connectivity and crawler accessibility. The framework aims to reduce ambiguity and improve the consistency of machine-readable business representation. It does not claim to guarantee inclusion, recommendation or citation by AI systems. This report presents the framework's architecture, implementation principles, validation methodology and practical applications for small and medium-sized businesses.
Author: Rowley, Keith
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225652382
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