Description
Optimize for agentic search — the systems already deciding what gets seen
Most of what’s called “AI SEO” today applies old mental models to systems that work in fundamentally different ways. This course corrects that. You’ll learn to optimize for agentic search: systems that autonomously retrieve, evaluate, and synthesize information from multiple sources to generate a single answer — deciding whether your content is used before a user ever sees a result.
What you’ll be able to do
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DiagnosePinpoint whether your content fails at retrieval, evaluation, or synthesis — and know the difference between being indexed and being selected.
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DesignStructure content as atomic, verifiable claims with entity markup that agents can extract and reuse across sources.
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MeasureBuild test-query sets to track your selection rate across ChatGPT, Perplexity and Gemini, and measure entity-recognition completeness.
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DecideJudge any new SEO claim or vendor pitch against how these systems actually work — and separate durable principles from short-lived tactics.
What’s included
Taught by Beatrice Gamba, Head of Innovation at WordLift — knowledge graphs, RAG pipelines, and entity recognition at scale.
Questions before you enrol
Is this too advanced if I’m not technical?
No — it’s built for marketers and SEOs, not engineers. You’ll meet the real mechanisms (chunking, entities, structured data), but always explained from a practitioner’s chair, with worked examples you can copy. No coding required.
Isn’t most of this available free online?
Pieces are — scattered, often outdated, and rarely tied to a mechanism. This is the corrected, end-to-end model: how agentic systems retrieve, evaluate and select, exactly where your content wins or loses, and the audits and measurement to act on it.
Is it self-paced?
Yes. Every lesson is on-demand video + transcript + slides + a workbook. Start now, finish whenever, and revisit anytime with lifetime access.
Will it go out of date?
The tactics-of-the-week will; this doesn’t. It’s built on the durable mechanics — verifiability, entity clarity, structural coherence — that don’t change with each model release. And every future update is included.
Can I do more than one course?
Yes — bundle this with the Entity SEO & Knowledge Graph course and save up to €200. See the bundles below.
Prefer to go broader? Bundle it with the Entity SEO & Knowledge Graph course and save.
Lazarina Stoy. –
This course is genuinely so in-depth and thorough. What I liked about it is that it explains the complex mechanisms of agentic retrieval and AI search systems in a way that’s accessible even to non-technical people. It highlights precisely where in the pipeline different marketing, SEO and content strategies could fail in agentic search, and how to go about closing the gap between traditional and AI search to improve visibility in both worlds. The practical materials are extremely well-organised, though it does require some additional time to go through everything in practice to fully test, audit, and improve your website, preparing it for the new agentic era. Beatrice explains concepts with a ton of examples, which really helps to grasp different failure points and understand exactly what to change and in what sequence. Definitely recommend this course for anyone working in AI search and for SEO in agentic surfaces.
Michele Mazzali (verified owner) –
This course really delivers! What stood out most to me is how solid the whole structure is: topics are well explained, properly contextualized, and each one builds naturally on the last, so nothing feels bolted on. It moves past the SEO vs GEO debate and gives an actual model of how retrieval, filtering and citation work, not just tips. Beatrice is very clear throughout, and the materials she put together, the agent-readiness stack, the extraction-readiness audit, the checklists, are genuinely practical. I’m sure all these tools will be ver helpful with clients. Well worth the time, recommended for anyone working seriously on this and trying to move one step forward.