The Revenue Leadership Podcast with Kyle Norton E67: Your Buyer's AI Is Pitching YOUR Product (Badly) | Adrian Rosenkranz, CRO @ Webflow
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Apr 29, 2026 Adrian Rosenkranz, CRO at Webflow and former Tableau sales leader, builds GTM systems for an AI-agent world. He explains how AI crawlers reshape traffic and why AEO/GEO matter. He outlines merging ops into go-to-market engineering, using agents to scan Slack and draft personalized outreach, and keeping knowledgebases dynamic to track ICP drift.
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Beware The AI Efficiency Trap
- The AI efficiency trap: making tasks faster (e.g., email generation) can increase activity without improving outcomes like customer-facing time.
- Centralize AI builds in RevOps/applied AI to avoid dozens of bespoke, unmaintainable automations that don't move revenue.
Unify Ops Into A Go-To-Market Engineering Team
- Collapse fragmented ops into a single Go-To-Market Engineering team that owns cross-functional AI workflows, data context, and evaluations.
- Adrian merged marketing, sales, and post-sales ops so one team manages knowledge, integrations, and agent evals end-to-end.
Personal Email Agent That Grades Itself
- Adrian built a Cloud Code agent that drafts outgoing emails by pulling Slack context, recent calls, calendar and Gmail, then inserts a draft into Gmail graded by how often he edits it.
- The agent reaches ~90% no-edit drafts and runs on a cron or manual trigger.
