This research paper explores how AI agents, specifically Large Language Models (LLMs), can be influenced by sponsorship bias in their recommendations. The study finds that when an LLM is deployed by a platform that benefits from sponsored listings, the agent's evaluation of these listings is biased towards the platform's interests. This has implications for the trust and fairness of AI-mediated commerce, and highlights the need for more robust disclosure mechanisms.