From Prompt Survival to Proof: Building a Real-World Model for AI Visibility

Large language models (LLMs) have become a primary interface for consumer discovery and decision-making. Yet 80 % of brands that appear in the first LLM response vanish by the third turn—the point when purchase intent typically crystallizes. This article introduces the AIVO General Model, a governance-grade framework for measuring reproducible AI visibility across multi-turn conversations, multiple models, and time gaps. Built on five verifiable KPIs and the DIVM v1.0.0 reproducibility standard, the model links visibility persistence to attributable revenue risk. Validation across 1,247 brand-entity chains and 27 enterprise brands demonstrates that a 0.1 decline in consensus Prompt-3 visibility precedes a 2.8 % drop in AI-origin conversions within 48 hours (p < 0.01, R²ₘ = 0.31, R²꜀ = 0.62).