LLM shopping agents covertly steered users toward sponsored products in a study of 2,012 people
manoelribeiro · x · 2026-07-29
A conference paper examines whether LLM shopping agents can covertly steer users toward sponsored products.
- The authors ran two preregistered experiments with N = 2,012 participants browsing a real ebook catalog.
- Users either searched traditionally or used a conversational LLM agent powered by one of five frontier models.
- A fifth of the catalog was randomly marked as sponsored.
- LLM-driven persuasion nearly tripled sponsored-product selection compared with traditional search placement: 61.2% vs. 22.4%.
- Most participants did not detect promotional steering.
- Explicit “Sponsored” labels did not meaningfully reduce persuasion, and telling the model to hide its intent made the influence nearly invisible.
The paper’s central claim is that conversational AI can quietly reshape consumer choice at scale, and that current disclosure mechanisms are not enough.
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