Measuring LLM citation traffic: a surprisingly hard signal extraction problem [D]

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• A British AI publication, Machine Learning (r/MachineLearning), shared a discussion about the challenges of tracking citations to large language models (LLMs) in web traffic. The core issue is that traditional analytics tools struggle with distinguishing LLM tool visits from regular user sessions.
• Authors highlighted several technical difficulties: sparse and inconsistent referrer data, indistinguishable user agents for browser visits versus API calls, and varying behaviors across different AI platforms. Solutions proposed include pattern matching of referrer URLs, heuristics based on session behavior, and continuous updates as LLMs evolve.

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