Examples of agentic browsers include Perplexity Comet, ChatGPT Atlas, Opera Neon, Dia (by The Browser Company), and Fellou. While their capabilities differ, they share a common trait: AI agents are responsible for navigating pages, interpreting content, and executing tasks on behalf of users.

As these tools become more common, organizations need a way to understand when their websites are being accessed by agentic browsers versus humans. Product teams may need to optimize experiences differently for agents and people. Some organizations may want to discourage agent-based access where it conflicts with business models like advertising. Others may see opportunity in surfacing agent intent, enabling them to serve both the agent and the end user more effectively. This requires analytics systems that can identify agentic behavior patterns, rather than treating all traffic as equivalent user sessions.