Agent SEO Implementation Roadmap

Most sites are invisible to AI agents not because their content is weak, but because the agent-readable infrastructure simply is not there — and the failures are silent, with no error ever logged. This Google Sheets roadmap sequences the infrastructure work from Lesson 2.1 into a phased, trackable plan, so you build the foundations agents need in the right order. Created by Beatrice Gamba for the AI Search & Agentic SEO course.

The roadmap is organised into three weeks of focused work. Week 1 lays the foundation — audit and fix your robots.txt so AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are not silently blocked, and build your first llms.txt as an agent-specific sitemap. Week 2 declares your capabilities — add a skill.md file so an agent can match a task to what you offer before reading your whole site, and expose a clean markdown endpoint. Week 3 is the page-by-page restructuring — front-load value with an inverted pyramid, convert prose to tables where the data is structured, fix heading hierarchy, and keep specifics next to the claims they support. Each task carries a status field so you can run it as a real project.

Use this for:
‧ Sequencing agent-readiness work in the right order instead of guessing where to start
‧ Auditing and fixing robots.txt so AI crawlers are not silently blocked
‧ Building your first llms.txt and skill.md from a clear checklist
‧ Restructuring your highest-value pages for sequential agent reading
‧ Tracking implementation status across the whole project

This is perfect for SEOs, technical marketers and site owners who want to make their site discoverable and parsable by AI agents — especially teams preparing for agent-mediated discovery before it becomes table stakes.