AIVO Surface™: Competitive Intelligence for AI-Mediated Buying Decisions

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18494776
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

AIVO Surface™: Competitive Intelligence for AI-Mediated Buying Decisions

AIVO Standard
Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

AIVO Surface™: Competitive Intelligence for AI-Mediated Buying Decisions

AIVO Standard
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 71%
Big Data and Business Intelligence
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AIVO Surface™: Competitive Intelligence for AI-Mediated Buying Decisions — AIVO Standard · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS