The Agentic Discovery Playbook

This playbook reveals how automated agents independently find, assess, and select products. It's built on original experiments and live data, detailing a proven methodology for optimizing product visibility within agentic systems. The guide focuses on techniques applicable to coding agents such as Claude Code, Codex, and OpenCode, specifically demonstrated with APIs, MCP servers, and libraries. It presents 11 evidence-backed strategies alongside original research and candid evaluations. Ideal for developers and product teams seeking to ensure their offerings are the default choice for autonomous agents. This resource provides a deep dive into the practical aspects of optimizing products for discovery in environments where human interaction is minimal or absent.