The AI-Native GTM Playbook

The best AI-native companies don't just market AI — they use it to market. Here's the playbook I've used to build GTM engines that leverage LLMs, automation, and AI tooling at every layer.

The Shift

Traditional GTM stacks are built on manual processes: write content, publish, promote, measure, repeat. AI-native GTM compresses this loop by automating the repetitive parts and letting humans focus on strategy and creative.

Three Pillars

1. Content as Code

Treat your content pipeline like a software pipeline. Version-controlled briefs, templatized formats, automated distribution. The goal is a system where one piece of strategic input produces multiple outputs across channels.

2. Distribution Loops

Automated social monitoring, reply workflows, and engagement ops. Instead of waiting for inbound, build systems that insert your brand into relevant conversations at scale.

3. Measurement Infrastructure

If you can't measure it, you can't improve it. Set up funnel telemetry from day one — events, dashboards, and experiment frameworks that let you iterate weekly, not quarterly.

The Outcome

Teams that adopt this approach ship 3-5x more content, respond to market signals faster, and make data-driven decisions without waiting for a monthly report.