Editorial Board

AIVO Evidentia · Working Paper WP-2026-04 · April 2026 DOI: 10.5281/zenodo.19588522 Abstract This article announces the publication of brand.context — a machine-readable brand context standard designed for consumption by AI agents during commerce and purchase recommendation tasks. brand.context is the implementation layer of the AIVO

Why the brand you can see in AI is not the brand that wins the sale Every week, brands across the world pay for tools that tell them how often AI mentions them. Share of voice. Citation frequency. Mention rates. The dashboard updates. The numbers go up. The quarterly report

A CODA score of 8/100 on the day of acquisition. Here is what that means. On the day Unilever announced the acquisition of Grüns for $1.2 billion, we had fresh probe data from a buying sequence we had run that morning. We did not plan the timing. We

Institutional Representation Risk in Financial Services Abstract As large language models increasingly mediate product and institutional selection in retail financial services, representation outcomes have become non-uniform across AI systems and unstable over time. Identical queries can produce divergent institutional winners across models, while periodic model updates alter survival to

Abstract The Q1 2026 Global Banking AI Decision Index demonstrated that large language model recommendation systems exhibit measurable structural concentration, late-stage substitution, and cross-platform instability. Subsequent industry response and media coverage elevated AI-mediated selection into executive discourse. This article argues that the decision layer now requires formal

Evidence from the Global Banking AI Decision Index (Q1 2026) and Subsequent Industry Response Authors: Tim de Rosen, Paul Sheals Affiliation: AIVO Evidentia Ltd Date: February 2026 Abstract The AIVO Surface™ Global Banking AI Decision Index (Q1 2026) evaluates how major banking institutions perform at the decision stage within large