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When a mass market brand loses the AI recommendation, it is usually a content architecture problem - the model can't find the structured evidence it needs to pass the criteria filter. Fix the evidence layer, improve the position. For luxury brands the problem runs deeper. The brand equity that

The channel is now accessible to the buyers who care most about attribution. The measurement infrastructure they need is not there yet. ChatGPT advertising launched in February 2026 as an enterprise CPM product. Ten weeks later it has a self-serve ads manager, CPMs down from $60 to $25, minimum

How organic inference position became the most important variable in media planning — and what agencies need to measure before a single dollar enters ChatGPT inventory The brief that nobody can answer yet Every agency holding company is fielding the same client question in 2026: should we be on ChatGPT advertising,

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