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When Brands Lose at the AI Decision Stage
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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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