When Brands Lose at the AI Decision Stage

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Authors: Tim de Rosen
Cited by: 0

Abstract

Executive summary This case study examines how widely deployed AI assistants evaluate and resolve consumer purchase decisions in a trust-sensitive category. It documents a consistent pattern in which a well-known mass-market brand is excluded, displaced, or omitted at the final decision stage, despite strong brand recognition and product efficacy. The key finding is not reduced visibility, but loss of decision eligibility. AI systems repeatedly remove the brand from consideration once authority, safety, and trust heuristics are applied. The commercial consequence is direct demand redirection that cannot be recovered through downstream marketing, search optimisation, or media spend.

Fields of Study & Subjects

AI in Service Interactions Digital Marketing and Social Media Consumer Market Behavior and Pricing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Language
EN