The AI Powered GTM Playbook for 2026
How Executive Teams Build AI-Native Go-to-Market Systems
Overview
The playbook that built most B2B SaaS companies (hire SDRs, send sequences, book meetings, rinse, repeat) is structurally obsolete. This framework is for executive teams ready to redesign how revenue gets generated. Inside: the four-phase operating model for AI-native go-to-market, what leading teams are actually building in 2026, and how CROs, CEOs, SVPs of Ops, and Heads of Product each use it differently.
Key Takeaways
- 1Most companies are bolting AI onto a GTM system that was already broken. The solution is redesigning how revenue gets generated, not adding another tool.
- 2AI-native GTM has three stages: chatbots, single-agent helpers, and multi-agent systems. Leading teams are already at stage three.
- 3The Leverage GTM Framework has four phases: Model the Revenue System, Design the AI GTM Stack, Ship Agentic Workflows, Run the Operating Rhythm.
- 4One GTM Engineer supported by an AI agent fleet can produce the pipeline output of a 5 to 10 person SDR team with higher consistency and lower cost.
- 5Teams running signal-driven outbound architectures report 60% open rates, 10% reply rates, and 40% more meetings booked with half the sales team.
What's Inside
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