Is this a course with certification?
No. It is an ordered path through existing resources with practical tasks.
This learning path organizes existing guides and tools. Start with your team’s first unresolved question. Each stage ends with a concrete task for an existing page. It is not a certificate course or a performance promise. The free check evaluates technical and content readiness; stored AI answers are a separate measurement. Use evidence, disclose data gaps and have a specialist review drafts before publication.
Write down the customer question your page should answer. Use the hub to distinguish SEO, GEO, AEO and LLMO, then read the AI Mode explainer. Aim for a clear question rather than a list of interchangeable keywords.
Define market, language, engine and question scope. Read the methodology before comparing metrics. Keep website readiness separate from observed AI mentions. A failed answer does not mean zero visibility; compare only a documented successful sample.
Check a specific URL for access and rendering. Use the crawler check and read the existing robots.txt before changing rules. Allowing a crawler does not promise an AI mention. Document the finding and the actual behavior of the page.
Add a direct answer to the appropriate existing page. Check each product claim against approved records. The llms.txt generator creates an optional overview; the file replaces neither page content nor indexing. Keep the guide, generator and actual product page distinct.
Read the source behind a claim. Check its date, authority and specific evidence. Structured data must describe visible content. Citability evaluates prerequisites and does not prove an actual AI citation. A brand mention and a source link remain separate signals.
Hand a supported task to the relevant specialist. Check the available CMS path and its limits. Publish after approval and inspect the actual destination page. Record changes and repeat measurement without automatically inferring a cause.
No. It is an ordered path through existing resources with practical tasks.
Start where you have a documented finding or unresolved question. Fundamentals and methodology help you interpret later results correctly.