Anatomy of an AI-Enabled Lead

A buyer asked an AI assistant to research vendors. The assistant read our site two hours before they arrived. They read two pages, spent two minutes, and submitted a form. Analytics recorded a branded Google click. The real journey existed only in the web server log. That is an AI-enabled lead, and almost no marketing team is set up to see one.

This session walks through that lead end to end, anonymized, and turns it into a checklist you can run on Monday.

What you will leave with

• The five places an AI-enabled lead shows up in data you already have
• A verified-source rule for AI traffic, so scanners stop counting as buyers
• A rebuild checklist for web, content, analytics and comms
• A monthly report that ties assistant reads to form submits
• The recording and the checklist, sent to every registrant

Who it is for

Marketing operations and demand leaders, analytics and RevOps owners, and CMOs whose attribution has gone quiet. No technical background required: we show the log, you do not have to read it.

Agenda

• 0:00The buyer your reports were built for, and the one they cannot seeThree 2026 numbers on how buying changed.
• 0:06Old anatomy, new anatomyOne real lead, described two ways.
• 0:14A lead reconstructedFour sources joined on one timestamp, shown as a timeline.
• 0:26Signal versus noiseMost traffic wearing an AI user-agent is not AI. The one rule that fixes the metric.
• 0:32What the assistant reads on your siteEditorial beats brochure copy. Why a corroborating cluster wins.
• 0:40The rebuild checklistWeb, content, analytics, comms.
• 0:48The KPI and the monthly reportVerified AI reads that become human form submits.
• 0:52Live proofAn AI assistant registers a colleague for this webinar, on screen.
• 0:54Q&ABring your attribution question.

Who is presenting

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