PSOS-C and the Full Attribution Chain (www.aivojournal.org)

AIVO Journal has introduced PSOS-C, a conversion-weighted evolution of the Prompt‑Space Occupancy Score (PSOS) that links assistant-level brand visibility to validated downstream actions and financial outcomes. PSOS-C replaces exposure-only metrics with an auditable attribution chain—Observation → Engagement → Conversion → Decay → Audit—using prompt-audit logs, opt‑in telemetry, and first‑party analytics to move from “was seen” to “did it drive value.” The model is explicitly versioned and governed, enabling brands and regulators to treat AI visibility as a governance-grade financial indicator. Technically, PSOS-C is computed as PSOS-C = Σi(wi × Ei × Ci × di × αi), where wi is baseline visibility (prompt share), Ei engagement probability, Ci conversion probability, di temporal decay (AIVO models retrain half‑life at ~21–35 days), and αi is a Bayesian attribution confidence. Empirical validation on 3,284 prompt→conversion pairs across ChatGPT o1-preview and Gemini 1.5 Pro showed mean PSOS decline −6.8% but a smaller conversion‑weighted shift of −4.1%, with PSOS‑C deltas correlating to revenue deltas (r = 0.42 ± 0.05). AIVO derives Revenue‑at‑Risk via a Visibility Elasticity Factor (VEF = 0.62 in the automotive benchmark), so a 10% visibility loss predicts ~6.2% short‑term revenue impact. PSOS-C is audit‑ready (ISO/IEC aligned) and intended for independent verification, making AI‑assistant visibility measurable, monetizable, and reportable.