AI Agent Visibility
An agent's experience is your customer's experience.
When customers send AI agents to research, choose, and buy on their behalf, a blocked session or broken checkout doesn't just fail a bot. It loses the customer behind it. AI Agent Visibility scores every session for agent likelihood, shows you where agents get stuck, and gives you the evidence to fix what's costing you the sale.
Ensure your site capitalizes on the rise of LLM and Agentic traffic.
Build journeys that AI can complete.
Guide Agentic visitors from search to conversion without friction.
Separate people from programs.
Instantly segment and visualize AI vs. human traffic for clearer understanding.
Distinguish revenue from risk.
Separate assistants pursuing legitimate customer tasks from automation tied to scraping or abuse.
Design experiences that work for AI and people.
AI-powered visitors don’t scroll, hover, or hesitate. They scan, extract, and act instantly.
Designing AI Agent-ready experiences means optimizing for how these automated buyers interpret and interact with your site—so that every path, human or machine, leads to conversion.
Score every session.
Every visitor gets an Agent Probability Score, built from real behavior across the session rather than a user-agent string anyone can spoof. Human, uncertain, or agent, sessions are classified before a single metric gets reported.
Diagnose failed agent journeys.
See exactly where likely agents stall, repeat actions, hit errors, or abandon a transaction, down to specifics like an unlabeled control or a missing accessible name, with the full session context to understand why.
How different teams use AI Agent Visibility.
Executives
Track agentic traffic as a revenue channel, not just a shift to monitor. Understand which agent journeys are worth fixing and what standing still is costing you.
UX
Get the exact stall point in an agent journey, like an unlabeled button or a missing accessible name, and see what fixing it does to completion rate.
Product Owners and Analysts
Compare human and agent behavior side by side, and keep agent-driven sessions from skewing the KPIs behind your product decisions.
Marketers
Filter agent-driven sessions out of conversion metrics that need to reflect real customers, while still tracking agent traffic as its own measurable channel.
