Abstract AIVO Surface™ is a diagnostic intelligence framework designed to measure how external generative AI systems compare, recommend, omit, and substitute brands during multi-turn buying and vendor-selection journeys. As AI assistants increasingly influence procurement, product evaluation, and supplier shortlisting, organisations face a new decision-visibility challenge. Traditional analytics capture traffic and attribution outcomes, but they do not capture how AI systems construct competitive comparison narratives or how vendors are included or excluded during decision formation. AIVO Surface addresses this gap by systematically observing AI-mediated decision journeys across models, prompts, and comparison pathways. The framework focuses on identifying: • Competitive substitution patterns • Brand omission behaviour • Decision-stage eligibility dynamics • Cross-model comparison consistency • Multi-turn recommendation stability The framework is designed for Chief Marketing Officers, Digital Strategy leaders, Corporate Affairs teams, and Competitive Intelligence functions seeking structured visibility into AI-mediated market positioning.
AIVO Standard (Fri,) studied this question.