AI Search Optimization & Agentic SEO (E-Book) — by Beatrice Gamba
AI Search Optimization & Agentic SEO is the field guide to how AI search systems decide what to use. ChatGPT, Perplexity, Claude, Gemini and Google’s AI Overviews retrieve sources, judge them claim by claim and write the answer themselves — so a page can rank and still never be selected. This 180-page e-book by Beatrice Gamba (Head of Innovation, WordLift) explains how those systems work and what to change so your content is the source they choose.
Who it’s for
- SEOs and content leads whose pages rank but don’t get cited in AI answers, and who want to know why.
- Technical SEOs preparing sites for agents: robots.txt, token budgets, structured data that resolves, and the agent-readiness stack.
- Marketing and analytics teams who need to measure AI visibility — citation rate and quality, dark AI traffic — without paid tools.
- Anyone who took Beatrice’s course and wants the whole thing as a reference to keep at their desk.
What’s inside
- 14 chapters in 5 parts, from how agentic search works to measuring performance and designing for selection.
- An exercise with a worked example in every chapter, run on a fictional CRM company so you can see each method applied end to end.
- Redrawn diagrams that put what fails next to what works — the retrieval funnel, query fan-out, declared vs. inferred authority and more.
- Four appendices: a master checklist of every exercise, the tools and resources, a 49-term glossary, and sources & further reading.
- Reviewed in October 2026 against current documentation, with dated “Update” notes and “Reality check” boxes where the field is ahead of the evidence.
Look inside
Contents
- 1What Agentic Search Actually Is
- 2Why Traditional SEO Isn’t Enough
- 3How Modern AI Search Works
- 4Intelligent Agents in SEO Workflows
- 5What Agentic Search Means in Practice
- 6Building Infrastructure Agents Can Read
- 7Language Model Visibility Fundamentals
- 8Structured Data for Automated Systems
- 9Trust, Authority & Machine Confidence
- 10Designing Content for Retrieval & Synthesis
- 11Measuring Performance in Agent-Mediated Search
- 12How Systems Narrow Choices
- 13Your Audience Is No Longer Only Human
- 14Key Takeaways: Putting It to Work
Included with your purchase
All eight companion resources come with the book, delivered through a private Resource Library in your MLforSEO Academy account with direct links to each file:
- 30-Day Agent Search Optimization Action Plan
- Agent SEO Implementation Roadmap
- Language Model Visibility: 4-Week Implementation Roadmap
- Entity Confidence Recovery Tracker
- Extraction Readiness Audit
- 7 Alternative Signals of AI Influence
- Late-Evaluation Rewrite Checklist
- Agent Readiness Stack Audit
Want the videos, the live sessions and the course community too? Add the full AI Search Optimization & Agentic SEO course when you buy the e-book and save 30% on the course.
About the author
Beatrice Gamba is Head of Innovation at WordLift, where she has worked since 2016 on semantic SEO, structured data, knowledge graphs and AI search for Fortune 500 companies, major publishers and large e-commerce platforms. See Beatrice’s profile →
Frequently asked questions
What format is the e-book?
An instant PDF download, delivered through MLforSEO Academy. It is designed for screen and print, with clickable links to every resource, article and glossary entry it mentions.
How do I get the companion resources?
After checkout you’re enrolled in a private Resource Library in your MLforSEO Academy account. It lists every resource in chapter order with a direct link to the file.
Is this the same as the course?
The e-book covers the content of the AI Search Optimization & Agentic SEO course in written form, with worked examples and appendices. The course adds every lesson on video, quizzes, a certificate and the course Slack channel. You can add the course at 30% off on the e-book’s product page.
Was AI used to make it?
The frameworks, arguments and research are the authors’, created for their MLforSEO Academy course. Generative AI helped restructure the lessons into chapters and redraw the diagrams for print, and every chapter was checked against the original lessons and current documentation.
Can I buy it for my team?
Yes — get in touch at team@mlforseo.com for team copies or an invoice.
What’s included
- 180 pages · 14 chapters — the complete field guide to AI search and agentic SEO
- The retrieval funnel, query fan-out, entity clarity, structured data and how machines compute trust
- All 8 of Beatrice’s companion workbooks, trackers and checklists included
- Redrawn diagrams that show what fails next to what works, plus a master checklist and glossary
- Reviewed in October 2026, with dated update notes where the field has moved