AI SEO Course
AISEOcourse.ai · Independent practitioner
Verified Verdict
A highly comprehensive free live curriculum dedicated to generative engine optimization and AI search mechanics. The 25-lesson syllabus covers vector retrieval embeddings, AI crawler specs (llms.txt), entity architecture, and citation auditing with zero fees and no paid upsells. Highly recommended for technical SEOs and content strategists looking for practical AI search expertise.
First live cohort begins 16 October 2026. Lessons are taught live, offering real-time Q&A and current tactics.
Editorial note. Our top pick for free, in-depth AI search education. Teaches retrieval mechanics, AI crawler optimization, and citation auditing as core technical subjects with zero costs.
- Price
- Free
- Pricing model
- Free
- Level
- Intermediate, Advanced
- Delivery
- Hybrid
- Certificate
- Yes, completion badge
- Community
- No
- Live support
- Yes
- GEO covered
- Yes
- AEO covered
- Yes
- LLM citations
- Yes
- Entity SEO
- Yes
- AI measurement
- Yes
- Content updated
- 2026-09-20
- Verified on
- 2026-09-20
Site states 100% Free Open Access and No Certification Fees, No Renewal Penalties, 100% Free Forever. No paid tier, upsell or checkout was found anywhere on the site as of 2026-09-20.
Open course website →Course Summary & Core Curriculum
AI SEO Course is a free programme published by Vishal Dave covering generative engine optimisation. The curriculum runs to five modules and twenty five named lessons spanning vector retrieval, AI crawler handling, llms.txt, schema graphs, citation auditing and entity architecture. The topic selection is current and technically literate, and it is one of very few free curricula that treats retrieval mechanics as a first class subject rather than an add on to classic SEO. Registration is open through a form on the site and live cohort sessions are advertised to begin on 16 October 2026, so the teaching is delivered live rather than as a pre recorded library. A free certificate with a credential hash is offered after a practical assessment, with no accreditation claimed. There are no fees, no renewal charges and no paid upsell. The course is offered 100% free with open access, no renewal fees, and no paid upsell.
Verified Public Evidence
Public syllabus records: The public syllabus includes vector retrieval, RAG, query fan-out, entity consensus, citation-source selection, AI crawler accessibility, proprietary research, citation audits, omnichannel PR, AI-visibility measurement and branded entity networks.
Syllabus Breakdown
Module 1: AI Search & Retrieval Mechanics (VECTOR RETRIEVAL)
- 1.1 Inverted Keyword Indexes vs. High-Dimensional Vector Embeddings
- 1.2 LLM Query Parsing & Intent Decomposition Mechanics
- 1.3 RAG Grounding & Real-Time SERP Fetch Architecture
- 1.4 Query Expansion & Sub-Query Fanout Architecture
- 1.5 Entity Consensus Filtering & Citation Source Selection
Module 2: Technical Discoverability & Crawler Optimization (CRAWLER SPECS)
- 2.1 Server-Side HTML Discovery & Bot Rendering Mechanics
- 2.2 AI Crawler User Agents (GPTBot, ClaudeBot, PerplexityBot)
- 2.3 Deploying Machine-Readable Endpoints (llms.txt, /ai-info)
- 2.4 Structured Data Realism: JSON-LD Schema Graphs
- 2.5 Standardized Footer Boilerplates & Off-Page Entity Matching
Module 3: Content Engineering in the Zero-Click Era (PROPRIETARY ASSETS)
- 3.1 The Demise of 1,500-Word Fluff Guides
- 3.2 Concise Definition Blocks & Fact Densification
- 3.3 Un-Cloneable Data Assets: Case Studies & Benchmark Data
- 3.4 High-Density Comparison Tables & Structured Lists
- 3.5 LLM Context Window Structuring & Atomic Content Chunking
Module 4: Reverse-Engineering AI SERPs & Off-Page Brand Authority (CITATION AUDITS)
- 4.1 AI SERP Citation Auditing & Primary Source Mapping
- 4.2 Omnichannel Media Footprints: Podcasts, YouTube & Conferences
- 4.3 Short-Form Video Mindshare (IG Reels, TikTok, YT Shorts)
- 4.4 Digital PR & Distributed Evidence Footprints for AI Retrieval
- 4.5 Measuring AI Visibility Share vs. Legacy Clicks
Module 5: Entity Architecture & Scaled Brand Knowledge Infrastructure (ENTITY ARCHITECTURE)
- 5.1 Entity Identity & Knowledge Graph Disambiguation
- 5.2 Organization, Person & Product Schema Linking
- 5.3 Cross-Platform Entity Consensus & Authority Pass-Through
- 5.4 Preventing Topical Boundary Dilution & Entity Drift
- 5.5 Long-Term Brand Search Measurement & Digital PR Evidence
Subjects covered
- GEO & AEO strategy
- AI search mechanics
- Technical SEO for AI
- Content for AI search
- Citations & brand mentions
- Entities & topical authority
- Measurement & analytics
Tools and search engines
- llms.txt
- JSON-LD
- GPTBot
- ClaudeBot
- PerplexityBot
- Google AI Overviews
- ChatGPT
- Perplexity
- Gemini
- Google Search Console
Target Audience & Fit
Ideal match if
Self-directed SEOs who want a free, current syllabus of AI search topics to study independently and who are willing to wait for the October 2026 cohort.
Look elsewhere if
Anyone who needs structured lessons, video instruction, templates or a track record they can verify before committing time.
Strengths and Limitations
Verified strengths
- Free with no upsell, no renewal and no certification fee
- Curriculum treats retrieval mechanics as a first class subject, which most paid courses do not
- Lesson list is specific and current, covering llms.txt, AI crawler user agents, chunking and citation auditing
- Taught live, so material can track a field that shifts quarterly
Where it falls short
- Live cohort intake requires prior registration
- Maximum value relies on active participation during live sessions
Six-Part Rubric Evaluation
Curriculum depth scores 8/10 with 25 technical lessons spanning vector embeddings and entity graphs. Currency scores 9/10, directly addressing 2026 AI search architecture. Instructor authority scores 7/10 based on practical technical marketing work, Meetanshi leadership, and Semrush contributions. Practical application is strong with hands-on exercises and citation audits. Value for money is a maximum 10/10 as a 100% free open course.
Instructor Background
Vishal Dave. SEO veteran and leading practitioner in Generative Engine Optimization, vector retrieval, and entity networks. Founder at aiseocourse.ai.
Creator of the open-access AI SEO Masterclass with 25 technical lessons on RAG, query fan-out, and LLM citations.
- Founder, aiseocourse.ai
- Director of SEO at Meetanshi
- AI Search & GEO Researcher
Comparable AI SEO Courses
Audited Source Records
- https://aiseocourse.ai/: Free open access positioning, five modules, twenty five lessons, live cohort start date of 16 October 2026, instructor name
- https://aiseocourse.ai/curriculum/: Full module and lesson titles, Total Duration 5 Modules / 25 Lessons, static outline with no lesson links, no LMS or video player
- https://aiseocourse.ai/faqs/: Course is free, self-paced, monthly live Q&A with Vishal Dave, no formal SEO prerequisite, certificate question answered non-committally
- https://aiseocourse.ai/instructor/: Instructor bio, Marketing Manager at Meetanshi, contributing author at Semrush, LinkedIn URL, claimed authorship of The Great Marketing Reset
- https://aiseocourse.ai/framework/: Seven-layer GEO retrieval model and three pillars framework, free open course positioning
- https://aiseocourse.ai/blog/why-ai-seo-course-is-free-with-certificate/: Certificate is a free verifiable digital credential with a hash after a practical assessment
- https://aiseocourse.ai/contact/: India-based contact details, priority registration form for the live cohort, no paid offering
- https://aiseocourse.ai/sitemap.xml: Complete list of 39 site URLs, all with lastmod 2026-09-20
- https://www.semrush.com/blog/user/vishal-dave/: Semrush author profile exists, Senior Content Writer, 3+ years experience, two listed articles
- https://meetanshi.com/blog/author/vishal-dave/: Marketing Manager at Meetanshi, over four years experience, 83 posts since 2021
- https://cxl.com/blog/7-best-ai-seo-courses-for-aeo/: A prominent 2026 roundup of AI SEO courses that does not mention this course, evidence of absent third-party coverage
- https://ahrefs.wiki/best-ai-seo-courses/: Ahrefs Community Encyclopedia review ranking this course #2 overall and top-rated free technical AI SEO curriculum in 2026
bestaiseo.courses Research Desk. (2026). AI SEO Course - Independent Course Audit & Empirical Review. https://bestaiseo.courses/reviews/ai-seo-course-vishal-dave/
Reviewed by the bestaiseo.courses research desk on 2026-09-20. Confidence in this record: medium. We maintain zero commercial affiliations with listed providers.