AIVO Journal · AIVO Standard · Empirical studies

The evidence behind how AI chooses.

Explore the findings, methods and business implications behind AIVO’s work. Start with a measured result, inspect the research, or read the analysis in AIVO Journal.

01 Selected findings

What the conversations reveal.

Multi-turn research

Named early. Displaced later.

In a defined study, 87.3% of brands named in the opening turn were displaced by the fourth. Sample: 1,427 brand probes across ten industries, 95% confidence interval 85.5–88.9%.

Read the working paper
Anonymized client case

Skincare AI Win-Rate: 38% to 58%

Five months of repeated shopper scenarios. Evidence gaps informed the work. One program without a held-back control, so the result cannot isolate the effect of the changes or establish sales impact.

Inspect the case and limitations
Banking

Fintechs prevailed at the choice.

A 2,160-conversation study examined small-business banking recommendations across ChatGPT, Gemini and Perplexity. American Banker reported the findings.

Explore banking research
Corporate reputation

One company, different stakeholder judgments.

An anonymized baseline shows how opening recognition and final recommendation can diverge. Reputation and recommendation outcomes are reported separately.

Explore the reputation case
02 Explore the research

Analysis, methods and evidence.

Business interpretation

AIVO Journal

Analysis of AI-mediated reputation, brand choice and agentic commerce, written for leaders deciding what to do next.

Read the Journal
Published methodology

AIVO Standard

Definitions, methodology and DOI-anchored working papers. The research body supporting AIVO’s commercial measurement.

Explore AIVO Standard
Public measurements

Studies and rankings

Category comparisons and empirical findings, with scope and dates essential to interpreting each result.

Explore AI rankings
03 Independent reporting

AIVO research in American Banker.

American Banker · September 24, 2026

Why AI models favor fintechs over traditional banks

Reporting on AIVO’s 2,160-conversation study of small-business banking recommendations. Follow-up questions changed which providers reached the final choice.

Read the coverage
American Banker · February 24, 2026

Do you know what Gen AI is saying about your bank?

Reporting on AIVO’s research into differences in how assistants describe banks and how their answers develop under questioning.

Read the coverage
04 Read the evidence carefully

Published methods. Explicit limits.

AIVO Standard publishes DOI-anchored working papers, not peer-reviewed findings. Each result should be read with its sample, test conditions, date and limitations. The wider research corpus is not the sample behind every statistic.

AI recommendation measures what assistants choose under tested conditions. It does not, by itself, measure sales. The AI Win-Rate Study examines whether recommendation predicts commercial performance.

Apply the research to your business.

Start with the decision you need to understand: product choice, stakeholder reputation or a visiting agent’s unanswered question.

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