How to Detect Bots and AI Agent Traffic on Your Website
Blog post from Snowplow
The text discusses the importance of detecting rather than blocking agentic browser traffic to optimize analytics and capitalize on potential commercial opportunities, as AI agents increasingly influence web traffic. It highlights a framework for identifying bots and agentic browsers, emphasizing three detection methods: identity signals, network-origin signals, and behavioral signals, each varying in complexity and reliability. The text stresses the need for a composite bot score to better differentiate between human and bot traffic, acknowledging the challenges posed by AI agents that bypass traditional tracking methods. It also underscores the importance of real-time adaptation to agentic browsing, demonstrating how websites can dynamically adjust content based on user-agent transitions. This proactive approach allows organizations to better understand and leverage agentic traffic, ensuring more informed decision-making and enhanced user engagement.