Research Line 01 — B2Ai Selection Research

Recognition Selection.

Why businesses that are visible to AI systems are still excluded from AI-generated recommendations. B2Ai names the upstream layer — between humans and AI — where businesses must become legible, trustworthy, and selectable before they are presented to users or agents.

Core Concepts

The B2Ai vocabulary.

  • B2Ai — Business-to-AI Intelligence.The upstream layer where businesses must become legible, trustworthy, and selectable to AI systems before they are presented to humans, agents, or downstream decision workflows.
  • The Choosing Layer.The system layer at which an AI model moves from a pool of legible candidates to a selected output. Where recognition ends and selection begins.
  • The Selection Gap.The measurable distance between machine recognition and machine preference. A business can be recognized without being recommended. 89% recognition. 9% selection. That gap is the research.
  • SOMAR — Selection, Output Mediation, Authority Resolution.The diagnostic protocol for analyzing selection behavior in AI-mediated answer events after machine legibility has been achieved.
  • B2A — Business-to-Agent (Appendix C extension).The next gap: Selection ≠ Transaction. When agents do not merely recommend but act. B2Ai determines whether a business is selected. B2A determines whether that selection can become authorized action.

Request a SOMAR pilot or explore the thesis.

Organizations request a briefing. Researchers and builders start with the documents.