From Prompt Survival to Proof: Building a Real-World Model for AI Visibility (www.aivojournal.org)

The AIVO Standard Institute today unveiled the AIVO General Model, a governance-grade framework and open reproducibility standard (DIVM v1.0.0) for measuring “visibility survival” — the probability a brand cited at Turn 1 remains contextually present by Prompt 3 across paraphrases, time gaps and multiple LLMs. Validated on 1,247 brand-entity chains and 27 enterprise brands, AIVO finds a dramatic “visibility cliff” (example: 0.92 → 0.61 → 0.18 visibility across Turns 1–3) and shows that a 0.1 drop in adjusted Prompt‑3 consensus visibility (PSOS(cons_adj)) predicts a 2.8% decline in AI-origin conversions within 48 hours (p < 0.01, R²m = 0.31, R²c = 0.62). A concrete case: with PSOS(cons_adj)=0.403, SPF=0.20, Cv=2.6% and AOV=$120, the Attributable Revenue at Risk (ARaRcm) is $1.95 per session — ~ $1.95M quarterly at 1M monthly sessions. Technically, the model enforces reproducibility (CI ≤ 0.05, CV ≤ 0.10, ICC ≥ 0.8) and five verifiable KPIs: ARC (Authority–Recency–Consistency), BCR (Branch Coverage Ratio), CMVI (Cross‑Model Volatility Index), PSOS (cons_adj) and ARaRcm, with healthy ranges and a parity rule for breaches. Practical implications: move from single‑prompt snapshots to multi‑turn, cross‑model auditing; treat Prompt‑3 as the decision surface to optimize for survival; integrate ARaRcm into finance dashboards; and expect DIVM-like auditability to be codified under forthcoming governance (EU AI Act, ISO/IEC 42001, SOX AI guidance).