Search no longer ends with a list of links. ChatGPT, Perplexity, Claude, Gemini and Google’s AI Overviews retrieve sources, judge them claim by claim and write the answer themselves — and a page can rank well and still never be used. AI Search Optimization & Agentic SEO shows you how those systems decide, and what to change so your content is the one they select.
What’s inside
Fourteen chapters in five parts, each ending with an exercise and a worked example.
- Foundations — what agentic search actually is, and why ranking no longer guarantees you get used.
- Inside the machine — the five-stage retrieval funnel, query fan-out, and how agents retrieve, evaluate, act and combine.
- The machine-readable web — llms.txt and robots.txt for agents, entity clarity, structured data that resolves, and how trust is computed.
- Designing for selection — chunk-level content design, measuring dark AI traffic and citations, and the agent-readiness stack.
- Putting it to work — the decision rules that hold as interfaces and models change.
All eight of Beatrice’s companion resources from the course — the 30-Day Agent Search Optimization Action Plan, the Agent SEO Implementation Roadmap, the Entity Confidence Recovery Tracker, the Extraction Readiness Audit, the Agent Readiness Stack Audit and more. You’ll be enrolled in a companion Resource Library in your MLforSEO Academy account with direct links to every one.
Built for reference
- Diagrams redrawn for print — comparisons that show what fails next to what works, the retrieval funnel, the readiness stack.
- A master checklist, tools list, glossary and sources collected in the appendices.
- Reviewed in October 2026 — dated update notes where the field has moved, and an honest “reality check” where it is ahead of the evidence.
Who it’s for
SEOs, content strategists and marketers who need to understand AI search well enough to act on it — and who want frameworks they can apply to their own site, not tactics that expire with the next model release.
Beatrice has worked at WordLift since 2016, leading a team of SEO specialists, data analysts and digital marketers. For more than a decade she has helped global brands — including Fortune 500 companies, major editorial groups and large e-commerce platforms — structure their information so search engines and AI systems can understand, trust and surface it. She specializes in semantic SEO, structured data, knowledge graphs, LLM citation and agentic search, speaks and writes regularly on these topics, and hosts the Semantic Agent Podcast.
Format: PDF digital download (instant access). Adapted from Beatrice Gamba’s MLforSEO Academy course with the help of generative AI; all frameworks, arguments and research are hers. © 2026 ML Marketing Consulting, Ltd. (MLforSEO & MLforSEO Academy) and Beatrice Gamba.
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