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When Brands Lose at the AI Decision Stage

  • Zenodo (CERN European Organization for Nuclear Research)
  • European Organization for Nuclear Research
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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.

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Publication details

DOI
10.5281/zenodo.18470001
OpenAlex
W7127412920
Document type
article
Language
EN
Source
Zenodo (CERN European Organization for Nuclear Research)
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