The 11-Stage AI Visibility Lifecycle (v0.7): A Framework for Understanding AI-Mediated Content Discovery

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Authors: Bernard Lynch
Cited by: 0

Abstract

This paper defines the AI Visibility Lifecycle, a structured framework describing how modern AI systems discover, interpret, trust, and repeatedly surface websites. It replaces ranking-centric SEO assumptions with lifecycle-based visibility states grounded in admissible infrastructure evidence. Version 0.7 represents a pre-certification, pre-standardization release intended to establish terminology, lifecycle boundaries, and ambiguity constraints prior to broader industry adoption.

Fields of Study & Subjects

Information Retrieval and Search Behavior Web visibility and informetrics Digital Marketing and Social Media

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Language
EN
Document type
Preprint