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 paperExplore 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.
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 paperFive 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 limitationsA 2,160-conversation study examined small-business banking recommendations across ChatGPT, Gemini and Perplexity. American Banker reported the findings.
Explore banking researchAn anonymized baseline shows how opening recognition and final recommendation can diverge. Reputation and recommendation outcomes are reported separately.
Explore the reputation caseAnalysis of AI-mediated reputation, brand choice and agentic commerce, written for leaders deciding what to do next.
Read the JournalDefinitions, methodology and DOI-anchored working papers. The research body supporting AIVO’s commercial measurement.
Explore AIVO StandardCategory comparisons and empirical findings, with scope and dates essential to interpreting each result.
Explore AI rankingsReporting on AIVO’s 2,160-conversation study of small-business banking recommendations. Follow-up questions changed which providers reached the final choice.
Read the coverageReporting on AIVO’s research into differences in how assistants describe banks and how their answers develop under questioning.
Read the coverageAIVO Standard publishes DOI-anchored working papers, not peer-reviewed findings.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.
Start with the decision you need to understand: product choice, stakeholder reputation or a visiting agent’s unanswered question.
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