Introduces the Agentic Shelf framework for AI-driven decision-making in commerce, highlighting significant brand-level authority shifts.
This paper introduces the Agentic Shelf as a formal structural framework describing the displacement of purchase-decision authority from the human consumer to the AI model in multi-turn commerce conversations. Building on the empirical findings of the Linkage Gap (Sheals and de Rosen, 2026, DOI 10.5281/zenodo.20761232), which documented 87.3% brand-level displacement across 1,427 brand probes, this paper situates that finding within the broader academic literature on long-context degradation, multi-turn reliability, and brand bias in large language model outputs. We formalize the distinction between the Linkage Gap, a retrieval and activation failure addressable through structured evidence infrastructure, and the Reasoning Gap, a structural model judgment not addressable through evidence alone. We argue that existing generative engine optimization (GEO) and AI-visibility measurement approaches address only the first of three necessary layers, possession, mention, and decision-stage activation, and that decision-stage activation is both commercially determinative and presently unmeasured by the tooling available to most brands.
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Rosen et al. (2026) studied this question.
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