Framework defines AI-mediated content discovery stages, implying new visibility concepts for industry standardization.
This paper defines the AI Visibility Lifecycle, a structured framework describing how modern AI systems discover, interpret, trust, and repeatedly surface web-based entities. 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.
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Bernard Lynch (2026) studied this question.
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