Curriculum
8 modules and 40 lessons of 5 to 10 minutes. Each lesson has a video, text and a task you do on your site or a client's.
- 40
- lessons
- 5 h 25 min
- of video
- 2
- free lessons
- ES / EN
- video and text
1What GEO is and why it matters now
5 lessons
What generative engine optimization is, how it overlaps with SEO and where it doesn't, where AI answers are generated and what a brand stands to gain. You finish with your first AI visibility baseline.
- 1.1From search results to answers: what GEO isFree7 min
- 1.2GEO, SEO and AEO: what changes and what doesn'tFree8 min
- 1.3Where AI answers are generated: ChatGPT, Perplexity, Gemini, Copilot, AI Overviews and AI Mode9 min
- 1.4What you gain: mentions, citations, recommendations and AI traffic8 min
- 1.5Your starting point: a first AI visibility baseline9 min
2How generative engines choose their sources
5 lessons
What happens between the question and the answer: training versus live search, fan-out queries, passages, entities and consensus. Plus what nobody knows yet.
3Prompt research
5 lessons
How your customers actually ask AI, where to find the prompts in your market and how to pick the 25 you'll track, including which competitors show up in the answers.
4Content that AI cites
5 lessons
How to write pages a generative engine can use as a source: direct answers, original data, comparisons and FAQs, plus how to update the content you already have.
5Brand authority and mentions
5 lessons
Your brand as an entity and what others say about you: profiles, media, directories, reviews, communities and digital PR, all telling the same story.
- 5.1Your brand as an entity: Wikidata, the Knowledge Graph and profiles8 min
- 5.2Third-party mentions: media, directories and 'best of' lists8 min
- 5.3Reviews and communities: Reddit, forums, YouTube and review platforms8 min
- 5.4Digital PR for GEO8 min
- 5.5Consistency: getting every source to say the same thing about you7 min
6Technical foundations for AI engines
5 lessons
AI crawlers and robots.txt, llms.txt, structured data, rendering and speed, and a step-by-step technical GEO audit.
- 6.1AI crawlers: robots.txt, who's who and what to allow9 min
- 6.2llms.txt and files for models: what it is and what it doesn't do7 min
- 6.3Structured data (schema.org) that helps engines understand your page9 min
- 6.4Rendering, speed and content that works without JavaScript8 min
- 6.5Technical GEO audit, step by step9 min
7Measuring AI visibility
5 lessons
Which metrics matter, how to set up the visibility tool, how to read results that change every week and how to find AI traffic in your analytics, then turn it all into a plan.
- 7.1What to measure: mentions, citations, position, sentiment and share of voice7 min
- 7.2The visibility tool: setting up your brand, competitors and prompts8 min
- 7.3Reading results: variability and trends, not snapshots8 min
- 7.4AI traffic in your analytics: referrals and landing pages9 min
- 7.5From data to action: a quarterly improvement plan8 min
8GEO for agencies and clients
5 lessons
How to sell, audit, report on and price a GEO service, with a 90-day plan from audit to results.