papersSEP 12 04:00 UTC
arXiv Paper Proposes Multi-Agent System to Measure Seller Visibility in AI Shopping Assistants
A new arXiv preprint introduces Agentic Share-of-Search, a multi-agent framework that automates how visible sellers are when AI shopping assistants mediate product discovery. The system pairs competitive visibility measurement with root-cause analysis to help sellers make decisions as LLM-driven commerce grows. It targets the emerging seller-side market created by AI assistants redirecting consumer search.