AIVO Visibility Beta™ v1.0 (2025)

AIVO Visibility Beta™ v1.0 (2025) introduces a quantitative framework linking probabilistic AI visibility to financial performance sensitivity. Building on the AIVO Standard’s Prompt-Space Occupancy Score (PSOS™), the paper defines a derived coefficient—AIVO Visibility Beta (AVB)—that measures how fluctuations in brand recall across AI assistants (ChatGPT, Gemini, Claude, Perplexity) correlate with enterprise outcomes such as EBITDA variance. Complementary metrics—Visibility Elasticity Factor (VEF), AIVO Exposure Ratio (AER), and AIVO Visibility Index (AVI)—form an integrated system for evaluating AI-mediated exposure risk. Using anonymized multi-sector simulations, the study demonstrates how visibility loss or substitution within large language models can translate into measurable financial sensitivity. Designed for boards, CFOs, analysts, and governance professionals, AVB provides a non-financial KPI for inclusion in AI-risk disclosure, ESG frameworks, and ISO/IEC 42001 compliance programs. It is a research and governance tool, not a financial instrument or forecast. The white paper aligns with AIVO Standard v3.0 and establishes a foundation for future work on AI Visibility Financialization, connecting marketing analytics, probabilistic modeling, and corporate risk governance.