Topical map, 18 guides

AI SEO Course Topics: the 2026 training map

AI SEO Course Study organizes the 65-course dataset into topic and use-case guides so the same programs can be compared by what they actually teach, who they are for and how they are delivered.

AI SEO course curriculum

What the 65 tracked programs actually teach.

AI SEO for beginners

Beginner-level programs and curriculum coverage.

AI SEO certification

Programs with confirmed completion certificates.

Live AI SEO training

Cohorts, workshops and communities with live support.

GEO courses

Generative Engine Optimization training.

LLM SEO courses

Training focused on visibility inside LLM search.

LLM citation courses

Programs teaching citations, mentions or recommendations.

AI visibility courses

Programs teaching AI-search measurement and reporting.

Technical AI SEO

Retrieval, RAG, schema, crawlers and structured data.

Entity SEO for AI search

Entities and knowledge graphs in AI-search curricula.

Local AI SEO

Training with explicit local-search material.

AI SEO for agencies

Programs with agency or client-service material.

AI SEO links & digital PR

Off-page acquisition, mentions and digital PR.

AI SEO course pricing

Current price models and cost comparisons.

AI SEO courses by goal

Use-case comparisons without one universal winner.

Why the AI SEO course topic map matters

The AI SEO course topic map matters because AI SEO is not one curriculum. Some programs teach conventional SEO with AI tools, others focus on GEO or AEO, and others specialize in citations, entities, technical retrieval, measurement, local search or agency delivery. These guides are filtered views of the same source-backed dataset, which keeps the classifications consistent across the site.

Start with the AI SEO course curriculum map for the broad subject breakdown, then use the individual guides to compare the programs supporting each topic.