30-Day Agent Search Optimization Action Plan

Optimizing for agentic search can feel overwhelming — there is entity work, schema, content rewriting and testing to do, and no obvious place to start. This Google Sheets workbook turns the principles of Lesson 1.3 into a concrete, week-by-week action plan so you always know the next move. Created by Beatrice Gamba for the AI Search & Agentic SEO course, it takes the shift from “be found and read” to “be selected and synthesised” and breaks it into 30 days of checkable tasks.

The plan is organised into four weeks that build on each other. Week 1 is a content audit — identify your ten most important pages, extract three to five key claims from each, and test whether each is extractable, verifiable and unique against Wikipedia, Wikidata and Crunchbase. Week 2 is entity fixing — correct factual errors, align your company facts with authoritative sources, add Organization and entity schema, and create or update your Wikidata entry. Week 3 is extractability — rewrite vague claims into specific ones, add temporal markers, and make every key claim self-contained. Week 4 is testing — define ten representative queries and run them across ChatGPT, Perplexity and Claude to establish your selection-rate baseline. Instructions and Example Test Queries tabs are included.

Use this for:
‧ Turning the agentic-search principles into a concrete 30-day plan instead of a vague to-do list
‧ Auditing your most important pages for extractable, verifiable and unique claims
‧ Aligning your entity data with Wikidata, LinkedIn and other authoritative sources
‧ Rewriting vague or promotional copy into specific, machine-extractable claims
‧ Establishing a repeatable citation-rate baseline across the major AI platforms

This is perfect for SEOs, content strategists and marketers who want a structured, no-guesswork starting point for making their content selectable by AI search systems — whether you are optimising a single site or rolling the process out across a client portfolio.