Description
About this course
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.
The machine now does the three steps a person used to do by reading multiple pages — retrieve, evaluate, synthesize — before the user sees anything. Your content is either selected, or it isn’t.
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
5 modules · 15 focused lessons Self-paced & on-demand A workbook for every lesson Lifetime access + updates Certificate of completion
When you get access
Buying before 20 July? The full course materials go live on 20 July. Your access is reserved — you can start the moment it unlocks and complete it on demand, indefinitely, at your own pace.
Buying on or after 20 July? The course is available immediately — start right away and complete it on demand at your own pace.
Taught by Beatrice Gamba, Head of Innovation at WordLift — knowledge graphs, RAG pipelines, and entity recognition at scale.
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