AI SEO Course: Free Generative Engine Optimization & AI Search Masterclass
The AI SEO Course teaches Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI search optimization, entity SEO, citation engineering, and LLM visibility measurement.
The AI SEO Course is a 100% free, self-paced technical masterclass created by Vishal Dave. The curriculum contains 5 technical modules and 25 lessons covering modern AI search, including Generative Engine Optimization, Answer Engine Optimization, entity optimization, citation strategies, platform-specific AI search, and LLM traffic measurement.
The AI SEO Course helps SEO professionals, search engineers, content teams, agency directors, founders, and growth marketers understand how search visibility is changing across Google AI Overviews, ChatGPT, Claude, Perplexity AI, and Google Gemini.
What Is an AI SEO Course?
An AI SEO course teaches search professionals how to optimise websites, entities, content, and brand signals for AI-powered search systems.
The AI SEO Course by Vishal Dave teaches Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI search optimization, entity optimization, citation engineering, and LLM visibility measurement.
The course applies these concepts to AI search platforms including Google AI Overviews, ChatGPT, Claude, Perplexity AI, and Google Gemini.
Unlike a traditional SEO course that primarily focuses on keywords, rankings, backlinks, and conventional search results, an AI SEO course also addresses AI-generated answers, citations, entity understanding, retrieval, brand mentions, and LLM-driven traffic.
Is the AI SEO Course Free?
The AI SEO Course costs $0 and provides 100% open-access, on-demand training.
The AI SEO Course by Vishal Dave provides free access to 5 technical modules and 25 lessons covering GEO, AEO, entity optimization, citation engineering, AI search platforms, and LLM traffic measurement.
Students can complete the course on-site at their own pace and can take the AI SEO certification exam after completing the training.
- Course fee: $0 (100% Free)
- Access: Open access, no paywall
- Delivery: On-demand, self-paced 24/7
- Certification: Verified credential included
What Does the AI SEO Course Teach?
The AI SEO Course teaches the complete technical stack for generative search optimization across 5 structured modules and 25 lessons.
01 // FOUNDATIONS
Module 1: Foundations of Modern AI Search
RAG & Vector Flow
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Module 1: Foundations of Modern AI Search
RAG & Vector FlowThe AI SEO Course teaches modern AI search retrieval mechanics in Module 1.
Module 1: Foundations of Modern AI Search explains the relationship between traditional SEO, Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), tokenization, vector search, retrieval, and large language model search.
Students learn how AI search systems retrieve and use information before producing generated answers.
02 // ARCHITECTURE
Module 2: Semantic Architecture & Knowledge Graphs
Entity Networks
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Module 2: Semantic Architecture & Knowledge Graphs
Entity NetworksThe AI SEO Course teaches semantic architecture and knowledge graph optimisation in Module 2.
Module 2: Semantic Architecture & Knowledge Graphs covers named entities, entity relationships, vector database chunking, semantic structures, and Schema.org JSON-LD.
Students learn how to organise website information so search engines and AI systems can interpret relationships between people, organisations, products, services, topics, and other entities.
03 // CITATIONS
Module 3: Citation Engineering & Brand Footprint
Brand Mentions
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Module 3: Citation Engineering & Brand Footprint
Brand MentionsThe AI SEO Course teaches citation engineering and brand footprint optimisation in Module 3.
Module 3: Citation Engineering & Brand Footprint covers citation-ready content, brand mentions, unlinked citations, authoritative sources, answer blocks, and digital PR.
Students learn how to create information assets that can support AI citations, brand visibility, entity recognition, and LLM-generated answers.
04 // PLATFORMS
Module 4: Platform-Specific AI Optimization
ChatGPT & Claude
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Module 4: Platform-Specific AI Optimization
ChatGPT & ClaudeThe AI SEO Course teaches platform-specific AI search optimisation in Module 4.
Module 4: Platform-Specific AI Optimization covers Google AI Overviews, ChatGPT Search, Claude, Perplexity AI, and Google Gemini.
Students learn how AI search platforms can differ in their retrieval, synthesis, citation, and answer-generation behaviour.
05 // ANALYTICS & ROI
Module 5: Analytics, Tracking & LLM Traffic
SOMV & LLM Traffic
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Module 5: Analytics, Tracking & LLM Traffic
SOMV & LLM TrafficThe AI SEO Course teaches AI search measurement and LLM traffic attribution in Module 5.
Module 5: Analytics, Tracking & LLM Traffic covers Share of Model Voice (SOMV), AI citation audits, referral attribution, generative search visibility, and LLM traffic measurement.
Students learn how to measure whether a brand appears in AI-generated answers and how AI search visibility contributes to website traffic.
Core AI Search Methodologies & Platforms
Explore how the AI SEO Course covers Google AI Overviews, GEO, AEO, Entity SEO, Citation Engineering, and Multi-Platform AI Search.
Does the AI SEO Course Teach Google AI Overviews?
The AI SEO Course teaches AI search optimisation for Google AI Overviews and other generative search surfaces.
The course covers AI search retrieval, entity optimisation, citation engineering, answer blocks, semantic architecture, and content structures that support visibility across generative search systems.
View Full Curriculum Details
Google AI Overviews forms part of the course's multi-platform AI search curriculum alongside ChatGPT, Claude, Perplexity AI, and Google Gemini.
The course therefore connects traditional organic search visibility with AI-generated answers, citations, entities, and LLM-driven discovery without asserting unverified ranking guarantees.
Does the AI SEO Course Teach GEO?
The AI SEO Course teaches Generative Engine Optimization (GEO) as a core methodology for generative search engines.
The AI SEO Course by Vishal Dave trains search professionals to optimize information for multi-modal Large Language Models that synthesize answers using vector search, Retrieval-Augmented Generation (RAG), and grounding pipelines.
View Full Curriculum Details
Students learn how to format passages, publish authoritative first-party data, and engineer entity consensus so generative search models select their domain as an authoritative source in AI synthesis.
Does the AI SEO Course Teach AEO?
The AI SEO Course teaches Answer Engine Optimization (AEO) to capture direct answers and voice search responses.
The curriculum instructs students on how to structure concise definition blocks, semantic lists, structured HTML tables, and question-answering pairs that answer engines extract for immediate user queries.
View Full Curriculum Details
Unlike traditional ten-blue-link optimization, Answer Engine Optimization (AEO) optimizes for single-answer surfaces where conversational assistants and search engines display a single authoritative response without requiring a second click.
Does the AI SEO Course Teach Entity SEO?
The AI SEO Course teaches entity optimisation through semantic architecture, entity relationships, knowledge graphs, and Schema.org.
The curriculum connects people, organisations, brands, products, services, topics, and websites through structured semantic relationships.
View Full Curriculum Details
The course covers named entities, Knowledge Graph concepts, Schema.org JSON-LD, entity resolution, semantic triples, and cross-platform brand consistency.
These concepts help search systems interpret who a brand is, what it offers, which entities it relates to, and where supporting information exists across the web.
Does the AI SEO Course Teach AI Citation Optimization?
The AI SEO Course teaches citation engineering and brand footprint optimisation to secure source attributions in LLM responses.
The AI SEO Course by Vishal Dave teaches search practitioners how Large Language Models decide which URLs and brands to reference when generating synthesized summaries.
View Full Curriculum Details
Students learn to produce citation-ready data assets, leverage unlinked brand mentions across authoritative third-party publications, and structure answer passages that generative models readily cite.
Which AI Search Platforms Does the Course Cover?
The AI SEO Course covers Google AI Overviews, ChatGPT Search, Claude, Perplexity AI, and Google Gemini.
Students learn how AI search platforms can differ in their retrieval, synthesis, citation, and answer-generation behaviour:
View All 5 Covered Platforms
- Google AI Overviews: Combines classic organic indexing and Knowledge Graph nodes with Gemini-grounded generative summaries.
- ChatGPT Search (OpenAI): Integrates real-time web search retrieval, Bing search indexes, and direct citation source badges.
- Perplexity AI: Implements live retrieval-augmented generation (RAG) with explicit bracketed source citations linked to indexed domains.
- Claude (Anthropic): Evaluates long-context document analysis, dense factual triples, and nuanced source entity consensus.
- Google Gemini: Grounded in Google's real-time multimodal search index, structured data schemas, and high-confidence Knowledge Graph triples.
Traditional SEO vs. AEO vs. GEO vs. AI SEO vs. LLM SEO
The AI SEO Course defines clear boundaries between traditional search optimization, Answer Engine Optimization, Generative Engine Optimization, AI SEO, and LLM SEO.
| SEO approach | Primary optimisation target | Typical visibility |
|---|---|---|
| Traditional SEO | Keywords, pages, links, rankings | Search results (ten blue links) |
| AEO (Answer Engine Optimization) | Questions and direct answers | Answer features & featured snippets |
| GEO (Generative Engine Optimization) | Generative search retrieval and synthesis | AI-generated answers & synthesis cards |
| AI SEO | Search, entities, content, citations and AI visibility | Search + AI platforms across the web |
| LLM SEO | Retrieval, mentions, citations and model visibility | ChatGPT, Claude, Perplexity and other LLM interfaces |
Who Should Take an AI SEO Course?
SEO professionals, search engineers, agency directors, content leads, founders, and growth marketers can use the AI SEO Course to develop AI-search optimisation skills.
Technical SEO Directors
Technical SEO directors can apply the curriculum to Google AI Overviews, ChatGPT, Perplexity AI, and Google Gemini to upgrade agency client deliverables.
Search Engineers
Search engineers can study vector retrieval, embeddings, RAG concepts, and semantic indexing to build AI-first content discovery systems.
Enterprise Content Teams
Enterprise content teams can apply entity structures, answer blocks, proprietary data, and citation-ready content to earn consistent LLM citations.
Founders & Growth Marketers
Founders and growth marketers can use AI SEO concepts to improve brand visibility across LLM-driven search and generative answer engines.
What Will You Learn?
Students in the AI SEO Course master four practical capabilities for modern AI search:
Reverse-Engineer LLM Retrieval
Students audit citation paths across ChatGPT, Claude, Perplexity, and Google AI Overviews to understand how RAG models select source documents.
Deploy Machine-Readable Protocols
Students serve zero-latency raw HTML endpoints, llms.txt files, and connected Schema.org JSON-LD entity graphs for automated bot ingestion.
Establish Cross-Platform Consensus
Students map core brand entities and unlinked brand mentions across trusted Knowledge Graphs to reinforce factual alignment across models.
Quantify Generative Visibility
Students measure Share of Model Voice (SOMV), citation velocity, and organic LLM referral traffic using modern attribution analytics.
Does the AI SEO Course Include Certification?
The AI SEO Course includes an on-site AI SEO certification exam and verified digital credential.
Students complete the 5-module, 25-lesson AI SEO curriculum before taking the 20-question certification exam.
Students who achieve a score of 80% or higher can unlock the verified digital credential and appear in the course's Hall of Fame graduate registry.
Enrollment to Official Certification
Students complete the entire training and examination directly on-site at their own pace.
Students create free accounts on-site to access curriculum progress tracking and saved exam results.
Students study 5 technical modules and 25 lessons covering GEO, vector retrieval, and Schema engineering.
Candidates take the 20-question on-site certification test to evaluate their technical search proficiency.
Graduates score 80% or higher to unlock verified digital credentials and permanent Hall of Fame registry.
Who Created the AI SEO Course?
Vishal Dave created the AI SEO Course, authored The Great Marketing Reset, and directs marketing operations at Meetanshi.
Vishal Dave engineers autonomous AI search systems, deploys local LLM retrieval environments, and reverse-engineers multi-modal search pipelines across Google AI Overviews, Gemini, Perplexity, and ChatGPT.
Search professionals can verify Vishal Dave's work through his Semrush author profile, LinkedIn profile, and published book on Amazon.
Vishal Dave
Creator of the AI SEO Course, Marketing Manager at Meetanshi & Author of The Great Marketing Reset
AI SEO Course Syllabus: 5 Modules, 25 Lessons
The AI SEO Course curriculum consists of 5 technical modules and 25 lessons engineered for generative search practitioners.
AI SEO Course FAQs
The AI SEO Course FAQ answers common questions regarding course structure, fees, technical topics, and certification:
What is an AI SEO course?
An AI SEO course teaches search professionals how to optimise websites, entities, content, and brand signals for AI-powered search systems. The AI SEO Course by Vishal Dave teaches Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI search optimization, entity optimization, citation engineering, and LLM visibility measurement across Google AI Overviews, ChatGPT, Claude, Perplexity AI, and Google Gemini.
Is the AI SEO Course free?
The AI SEO Course costs $0 and provides 100% open-access, on-demand training. The AI SEO Course by Vishal Dave provides free access to 5 technical modules and 25 lessons covering GEO, AEO, entity optimization, citation engineering, AI search platforms, and LLM traffic measurement.
Does the AI SEO Course teach Google AI Overviews?
The AI SEO Course teaches AI search optimisation for Google AI Overviews and other generative search surfaces. The course covers AI search retrieval, entity optimisation, citation engineering, answer blocks, semantic architecture, and content structures that support visibility across generative search systems.
Does the AI SEO Course teach GEO (Generative Engine Optimization)?
The AI SEO Course teaches Generative Engine Optimization (GEO) as a core methodology for generative search engines. The AI SEO Course by Vishal Dave trains search professionals to optimize information for multi-modal Large Language Models that synthesize answers using vector search, Retrieval-Augmented Generation (RAG), and grounding pipelines.
Does the AI SEO Course teach AEO (Answer Engine Optimization)?
The AI SEO Course teaches Answer Engine Optimization (AEO) to capture direct answers and voice search responses. The curriculum instructs students on how to structure concise definition blocks, semantic lists, structured HTML tables, and question-answering pairs that answer engines extract for immediate user queries.
Does the AI SEO Course teach Entity SEO?
The AI SEO Course teaches entity optimisation through semantic architecture, entity relationships, knowledge graphs, and Schema.org. The curriculum connects people, organisations, brands, products, services, topics, and websites through structured semantic relationships.
Does the AI SEO Course teach AI Citation Optimization?
The AI SEO Course teaches citation engineering and brand footprint optimisation to secure source attributions in LLM responses. The AI SEO Course by Vishal Dave teaches search practitioners how Large Language Models decide which URLs and brands to reference when generating synthesized summaries.
What is the difference between SEO, GEO, and AEO?
Traditional SEO targets keyword rankings in classic search engine results pages; Answer Engine Optimization (AEO) targets featured snippets and direct answers; Generative Engine Optimization (GEO) optimizes content for multi-modal Large Language Models (LLMs), RAG retrieval pipelines, and AI Overviews using vector embeddings, entity consensus, and source citations.
How do LLMs choose which sources to cite in AI results?
LLMs select citation sources by calculating vector cosine similarity in RAG retrieval pipelines, verifying entity consensus across trusted knowledge graphs, evaluating unlinked brand mentions, and extracting facts from dense definition blocks and Schema.org graphs.
How do you measure brand visibility and LLM traffic from generative searches?
Growth teams quantify generative search visibility by calculating Share of Model Voice (SOMV), tracking citation frequency across ChatGPT, Claude, and Perplexity, attributing referral LLM traffic in web analytics, and monitoring unlinked brand entity mentions.
Does the AI SEO Course include certification?
The AI SEO Course includes an on-site AI SEO certification exam and verified digital credential. Candidates earn the official credential through a 4-step on-site process: 1. Register a free student account, 2. Complete all 5 modules and 25 technical lessons, 3. Take the on-site AI SEO Exam, and 4. Receive the verified credential with an 80%+ score and permanent listing in our Hall of Fame.
Recommended Industry Mastermind: AI SEO Rainmakers
The AI SEO Rainmakers community provides continuous algorithm testing and real-time search intelligence founded by Charles Floate. Search practitioners leverage this community to test generative ranking hypotheses alongside this foundational curriculum.
