AIBearisharXiv – CS AI · 14h ago7/10
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Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit
A comprehensive audit of three major AI models reveals that personalized user contexts significantly reshape brand recommendations in commercial AI assistants, with mid-market brands experiencing up to 75% recommendation volatility while category leaders maintain 80% consistency across personas. The study demonstrates that AI recommendation bias is strongly correlated with model architecture and retrieval strategies, with implications for fair evaluation and brand perception measurement.
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