Persona prefixes reduce brand recommendation Jaccard similarity by 0.12-0.20, with mid-market brands swapping up to 75% of recommendations while category leaders remain ~80% consistent across OpenAI and Anthropic models.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Two major AI providers diverge in which brands they recommend but converge on classifying the failure reasons, especially for low-prominence brands.
citing papers explorer
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Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit
Persona prefixes reduce brand recommendation Jaccard similarity by 0.12-0.20, with mid-market brands swapping up to 75% of recommendations while category leaders remain ~80% consistent across OpenAI and Anthropic models.
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Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation
Two major AI providers diverge in which brands they recommend but converge on classifying the failure reasons, especially for low-prominence brands.