Empirical study of LLM brand recommendations across industries finds moderate concentration (mean Gini 0.28) and low cross-model agreement (41.6%) on top brands.
Strongly disagree
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AI relational talk backfires in commercial settings by reducing satisfaction via expectancy violation and perceived awkwardness, but goal-relevant talk attenuates the negative effect.
citing papers explorer
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Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models
Empirical study of LLM brand recommendations across industries finds moderate concentration (mean Gini 0.28) and low cross-model agreement (41.6%) on top brands.
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Socially Fluent, Socially Awkward: Artificial Intelligence Relational Talk Backfires in Commercial Interactions
AI relational talk backfires in commercial settings by reducing satisfaction via expectancy violation and perceived awkwardness, but goal-relevant talk attenuates the negative effect.