Lead capture for the agent era
Your next buyer sends an agent first. Most funnels record that as bot traffic.
Companies who have noticed AI assistants appearing in their referral data, or suspect they are being shortlisted in conversations they never see.
What you get
- Agent research recognised as demand, not filtered out as noise
- The agent that read you and the person who arrives later treated as one party
- Content an agent can quote accurately, so you are cited correctly
- A funnel that reports both actors instead of discarding whichever arrived second
Scope
Where you already stand
Which AI crawlers reach you, what they can read, and how much of your traffic is agent-mediated today.
Machine representation
Structured data, an agent-readable summary, and content shaped so an assistant quotes you correctly rather than approximately.
Agent-aware capture
Verified agent identification, and joining an agent’s research to the human arrival it produces — rather than counting them as two strangers.
Quoting to agents
What an assistant needs in order to price and shortlist you accurately, and how to publish it without giving away the negotiation.
Party-based qualification
Qualifying the buying party — human and agents together — and deciding which of them to answer.
Measurement
Whether agent-preceded traffic actually converts better. We keep a control group, because a signal that changes the experience cannot also be evaluated by it.
How it runs
Advisory, with a working implementation behind it — we run this model on our own funnel before recommending it.
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