Build the AI GTM Agent That Knows the Buyer
summary
Claims an AI-first GTM architecture that knows buyers before the first message, built across multiple brands and 75+ AI agents with 18+ vertical knowledge bases and 800+ runs per month. It combines a three-layer architecture — signals (CRM, intent, LinkedIn), buyer intelligence (knowledge base, ICP scoring, context graph), and action (personalized routing, rep alerts, CRM updates). Reported limits include ~70% company identity and 15–20% individual identity, plus ICP drift, alert fatigue, and human-approval bottlenecks.
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chapters (10)
- 0:00The evolving B2B landscape
- 1:18Three core GTM challenges
- 3:23The late-stage buyer reality
- 6:15Three-layer GTM architecture
- 11:36The context graph importance
- 13:33Implementation and workflow
- 16:49System output and demo
- 18:00Data-driven GTM dashboard
- 21:04Common failure points
- 24:33Key takeaways
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