AI Distribution

This comprehensive article presents a strategic framework for distributing AI products in a competitive market. The core thesis is that "Features get cloned. Models commoditize. But distribution compounds." The piece outlines a three-layer distribution system: the GTM wedge (precise market entry), PLG loops (viral growth mechanisms), and moat flywheels (defensible competitive advantages through data, workflow integration, or trust). The framework includes four wedge archetypes, seven product-led growth loops, three types of defensible moats, and practical playbooks for implementation.

The article extends beyond theory with actionable guidance including a seven-step distribution strategy playbook and nine advanced tactics used by billion-dollar founders. Real-world case studies examine Perplexity, Runway, GitHub Copilot, Anthropic, Clay, and Cluely to illustrate distribution principles. It emphasizes that winning companies deliberately design all three distribution layers simultaneously, embedding distribution into product design from inception rather than treating it as a post-launch activity.