AI Visibility: Formal Definition and Theoretical Framework for Information Design in Large Language Model Training Systems

AI Visibility: Formal Definition and Theoretical Framework This paper establishes AI Visibility as a formal upstream systems discipline governing how information is authored, structured, and emitted for reliable ingestion, retention, and recall by large language models. Canonical Definition AI Visibility is defined as the intentional design of digital assets such that their informational content produces clear, stable, and machine-interpretable signals, enabling accurate model ingestion, durable internal representation, and consistent recall over time. Theoretical Framework The paper presents eight interconnected theorems formalizing the boundaries, scope, and operational principles of the discipline: Scope…