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AI SEO 2026: GEO, AEO & AI Search Optimization

Master GEO, AEO and AI SEO for ChatGPT, Google AI, Gemini and Perplexity with practical no-code workflows.

New

Created byArjun Vaid, School of AI

Last updated 8/2026

English

English [Auto],

What you'll learn

Explain AI SEO, GEO, AEO and LLM SEO and how they extend traditional Google search optimization.
Evaluate how websites appear across ChatGPT, Google AI, Gemini, Perplexity and other AI search platforms.
Research keywords, conversational prompts, buyer questions and recommendation queries for AI search.
Optimize content with direct answers, clear sections, comparisons, evidence, FAQs and trust signals.
Improve entity authority, brand consistency, structured data, internal linking and technical discoverability.
Analyze competitors, citations, AI referrals and brand mentions using practical visibility scorecards.
Use ChatGPT and no-code workflows to create content briefs, audits, reports and repeatable AI SEO processes.
Complete a client-ready AI SEO audit and build a prioritized 30-60-90-day implementation roadmap.

Course content

12 sections • 84 lectures • 6h 20m total length

Welcome to the Course4:07
Explore practical no-code workflows to boost ai seo visibility by strengthening entity signals, producing answer-ready content, ensuring technical access, and measuring impact across ai-powered answers.
How Search Is Changing4:48
What Is AI SEO?4:57
SEO vs GEO vs AEO vs LLM SEO4:18
The Modern AI Search Ecosystem4:29
The Five-Part AI SEO Framework4:20
Workshop: Assess Your Website’s AI Search Readiness4:37

Search Intent and Keyword Research4:28
Crawlability, Indexability and Canonicalization4:27
On-Page SEO and Content Quality4:38
on-page seo aligns content with user intent, structure, and evidence to improve readability for humans and ai answer systems.
Website Architecture and Internal Linking4:47
Design clear hub-based site architecture and internal linking with service, location, FAQs, and case studies to guide crawlers and AI systems from broad intent to specific evidence.
Topical Authority and E-E-A-T4:11
AI-Generated Content, Quality and Spam Risks4:29
AI-generated content speeds research but requires purpose, evidence, and human review to avoid thin pages; implement a controlled publishing pipeline for trusted AI SEO.
Workshop: Complete a Traditional SEO Foundation Audit4:27

Keywords vs AI Search Prompts5:01
Informational, Comparison and Recommendation Prompts4:20
Identify three AI search prompt types—informational, comparison, and recommendation—and start with user needs. Learn to add context, set scope, specify format, and review outcomes for better AI SEO results.
Conversational Search and Follow-Up Questions4:10
Mapping Customer Problems and Use Cases4:12
Building a Prompt Universe4:34
Prioritizing Prompts by Opportunity and Business Value4:46
Workshop: Build a Prompt and Buyer-Journey Map4:11

How AI Systems Read and Extract Content4:38
Direct Answers and Answer-First Content4:39
design direct answers with an answer-first content approach to optimize AI search results. learn how clarity, proper extraction path, and credibility boost geo, AEO, and AI search optimization.
Clear, Chunkable and Self-Contained Sections4:29
Questions, Tables, Lists, Comparisons and FAQs5:36
Learn to convert knowledge into reusable content modules—questions, tables, lists, comparisons, and FAQs—that improve clarity and optimize AI and human search experiences.
Evidence, Statistics, Examples and Supporting Sources4:21
Develop a reusable evidence workflow for AI SEO that ties claims to primary sources with authoritative, recent, specific, and verifiable evidence, including clear examples and supporting sources.
Information Gain, Freshness and Factual Accuracy4:33
Prioritize information gain, freshness, and factual accuracy when optimizing for AI search, ensuring new insights, current evidence, and verifiable claims with sources.
Workshop: Transform an Existing Article for AI Search3:36

Understanding Entity SEO3:38
Building a Clear Brand Entity4:50
Develop a clear brand entity that AI systems can identify across the web by aligning canonical identity, category, offer, audience, evidence, and verified profiles via structured data.
Author Expertise and Trust Signals4:34
Maintaining Consistent Business Information4:26
Structured Data and No-Code Schema Implementation4:29
Implement structured data with JSON-LD using schema.org templates to clearly map page content to visible entities and relationships, validate results, and monitor a living no-code workflow.
Brand Mentions, Reviews and Digital PR4:36
Workshop: Create a Brand and Entity Optimization Map4:43

Search Crawlers, AI Crawlers and Access Controls4:57
Robots.txt, XML Sitemaps, Canonicals and Noindex4:43
Explore how robots.txt, XML sitemaps, canonical tags, and nuindex directives govern crawling, indexing, and discovery to deliver a consistent AI search experience.
JavaScript Rendering, Mobile Experience and Performance4:42
Internal Links, Orphan Pages and Site Structure4:42
Structured Data Testing and Validation4:47
Duplicate Content, Freshness and Version Control4:21
Workshop: Complete a Technical AI SEO Audit4:24

Why AI Systems Cite Certain Sources4:18
Benchmarking Competitor AI Visibility4:37
Analyzing Frequently Cited Pages and Formats4:18
Finding Content and Citation Gaps4:50
Third-Party Sources and Brand Corroboration4:50
Creating Citation-Worthy Content Assets4:38
Workshop: Complete a Competitor Citation Audit4:40
Conduct a repeatable competitor citation audit to map citations and the evidence behind AI answers, score gaps, and prioritize actions to improve your brand's visibility in AI search.

What Should AI SEO Measure?4:41
Tracking AI Referral Traffic in GA44:39
Using Google Search Console in the AI Search Era4:26
Measuring Citations with Bing Webmaster Tools4:06
Measure citations with Bing Webmaster Tools first-party signals, test pages with impressions, clicks, and backlinks, connect queries to AI prompts, and log results to iteratively improve AI visibility.
Tracking Brand Mentions and AI Visibility4:30
Track brand mentions and AI visibility across prompts and surfaces. Build a repeatable, no-code workflow that captures AI answers, extracts mentions, citations, and recommendations, scores results, and drives brand improvement.
Building Scorecards, Experiments and Monthly Reports4:27
Workshop: Build an AI SEO Visibility Dashboard4:33
Build an AI SEO visibility dashboard as the control center for AI search experiences, tracking brand mentions, citations, prompts, and referrals to drive actionable, monthly experiments.

Requirements

No AI SEO, programming or technical experience is required.
Basic familiarity with websites, digital marketing or traditional SEO is helpful but not required.
Access to a computer, internet connection and a web browser.
Access to at least one generative AI tool such as ChatGPT, Gemini, Claude or Perplexity.
A website is helpful for practice, but sample scenarios and templates are provided.

Description

AI Disclosure: Some course materials and demonstrations were created with the assistance of generative AI and reviewed by the instructor for accuracy, relevance and instructional quality.

Search is changing. Customers are no longer relying only on traditional Google results. They are also using ChatGPT, Google AI, Gemini, Perplexity, Claude and other AI-powered platforms to research products, compare businesses and make purchasing decisions.

This practical course shows you how to move from traditional SEO into AI Search Optimization without requiring programming or technical experience.

You will learn the foundations of AI SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO) and LLM SEO while continuing to apply the traditional SEO principles that still matter.

Throughout the course, you will complete practical workshops using real-world websites, AI platforms, templates, checklists and no-code workflows. You will learn how to evaluate AI visibility, research conversational prompts, optimize content for AI-generated answers, strengthen brand and entity signals, improve technical discoverability, analyze competitor citations and measure results.

You will learn how to:

Understand how Google Search and AI answer engines discover, retrieve and cite content

Compare traditional SEO, GEO, AEO and AI Search Optimization

Build a prompt universe based on the customer journey and business intent

Create clear, trustworthy and citation-worthy content for humans and AI systems

Improve content structure using direct answers, questions, tables, comparisons and FAQs

Strengthen brand, author and entity authority across the web

Review crawlability, indexing, structured data, internal links and technical SEO foundations

Analyze competitor visibility and identify content and citation opportunities

Track AI referrals, citations, brand mentions and visibility metrics

Use ChatGPT and other AI tools to support research, content audits and repeatable SEO workflows

Create a professional AI SEO audit and prioritized 30-60-90-day implementation roadmap

The course includes reusable resources such as an AI Search Readiness Checklist, Prompt Universe Template, Content Optimization Checklist, Entity Mapping Worksheet, Technical Audit Template, Competitor Citation Analysis Template, AI SEO Scorecard, reporting templates, prompt libraries and a client-ready audit presentation.

By the end of the course, you will be able to evaluate and improve the visibility of a website across both traditional search engines and emerging AI search platforms. You can apply these skills to your own website, your organization, client projects, freelance services or a digital marketing career.

Who this course is for:

SEO professionals who want to expand from traditional Google SEO into AI search optimization.
Digital marketers and content strategists who want greater visibility across AI-generated answers.
Business owners, founders and freelancers who want to improve online discovery without coding.
Content writers, bloggers and publishers who want to create trustworthy, citation-ready content.
Marketing agencies and consultants who want to offer AI SEO audits and strategy services.
E-commerce, SaaS, local business and B2B teams adapting their search strategy for generative AI.
Beginners seeking a practical, no-code path into AI SEO, GEO and AEO.

AI SEO 2026: GEO, AEO & AI Search Optimization

What you'll learn

Explore related topics

Course content

Welcome to the AI Search Era7 lectures • 32min

How Search and AI Answer Engines Work7 lectures • 32min

Traditional SEO Foundations That Still Matter7 lectures • 31min

From Keyword Research to Prompt Research7 lectures • 31min

AI-Friendly Content Optimization7 lectures • 32min

Entity, Brand and Author Authority7 lectures • 31min

Technical AI SEO7 lectures • 33min

AI Citations and Competitor Intelligence7 lectures • 32min

AI SEO Business Playbooks7 lectures • 32min

Measuring AI Search Performance7 lectures • 31min

Requirements

Description

Who this course is for: