Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and Responses
Uncovering the hidden mechanics behind how LLM agents execute web searches across major platforms.
Conversational LLM agents increasingly rely on Web search, yet the end-to-end lifecycle of agentic search remains poorly understood. We present the first study of Web search across four major conversational platforms (ChatGPT, Claude, Grok, and DeepSeek), combining real-world use...
ArXiv CS.AI
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This research provides a critical benchmark for understanding how agentic models navigate the web, highlighting significant variations in strategy and retrieval efficiency. By formalizing the lifecycle of these interactions, the study establishes a framework for evaluating the reliability and transparency of AI-driven information discovery.
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