AI-referral measurement

AI-referral measurement in iReveal: agents and LLM referrals as a first-class, identified, measurable channel.

AI agents acting on your behalf, and on your visitors' behalf, are invisible to session analytics. A browsing agent does not accept a cookie banner the way a person does, does not stitch into a session model built for humans, and does not show up in a channel report that only knows paid, organic, and direct. Traffic from AI assistants and LLM answers is already arriving; most measurement stacks cannot see it, let alone credit it.

Agents are first-class actors

iReveal treats humans and agents as first-class, identified actors. An agent's visit resolves to an immutable ID the same way a person's does, its actions are captured server-side at full fidelity, and what came of them lands in the same trace, from event to identity to outcome.

LLM referrals as a channel

That makes AI referral a channel you can measure rather than a mystery slice of direct traffic: see the visits AI referrals drive, follow them to resolved people and accounts, and read what those referrals produced in pipeline and revenue, on the same outcome tracking every other channel gets.