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Generative Engine Optimization

Module 1: Understanding GEO — The New Frontier of Digital Visibility

The New Frontier of Digital Visibility

Why GEO Matters Now

The Fundamental Shift: From Rankings to Citations

GEO vs. SEO: Key Differences

Module 2: How Al Engines Work

Module 2: How AI Engines Work — The Technical Foundation

The Technical Foundation You Need to Understand

Retrieval-Augmented Generation (RAG)

The RAG Process:

What Makes Content 'Citation-Ready'

Platform Differences

Module 3: The 9 Research-Backed GEO Strategies

Proven Methods from the Princeton GEO Study

What Doesn't Work: Keyword Stuffing (-10% visibility)

Module 4: Content Structure for Al Citations

Module 4: Content Structure for AI Citations

Building Citation-Ready Content Architecture

The 'Answer First' Format

Optimal Content Structure Elements

Content Types That Get Cited Most

Writing for Extractability

Module 5: Technical Optimization Essentials

The Technical Foundation for AI Visibility

Schema Markup (Structured Data)

The Ilms.txt Standard

Page Speed & Accessibility

Content Freshness Signals

Module 6: Platform-Specific Tactics

Optimizing for Different AI Engines

ChatGPT Optimization

Perplexity Optimization

Google AI Overviews

Cross-Platform Strategy

Leveraging Community Platforms

Module 7: Building Authority in the Al Era

Module 7: Building Authority in the AI Era

Establishing E-E-A-T for AI Citations

Entity-Based Optimization

Author Authority

Original Research & First-Party Data

Citation Gap Analysis

Module 8: Measuring GEO Success

Tracking Your AI Visibility

Key Metrics to Track

Measurement Methods

Dedicated GEO Tools

Module 9: Action Plan & Implementation

Your 90-Day GEO Implementation Roadmap

Week 1-2: Foundation & Audit

Week 3-4: Quick Wins

Month 2: Content Enhancement

Month 3: Authority Building

Ongoing Maintenance

Key Takeaways

Knowledge Check: GEO Foundations Quiz

Knowledge Check: Technical Optimization Quiz

Knowledge Check: Content Structure Quiz

Knowledge Check: Platform-Specific Tactics Quiz

Knowledge Check: Authority and E-E-A-T Quiz

Knowledge Check: Measurement and Metrics Quiz

Scenario Quiz: Diagnose Why You Were Not Cited

Scenario Quiz: Optimize a Page for AI Overviews

Capstone Quiz: 90-Day GEO Plan Validation

Survey: Your Current GEO Maturity

Survey: Perceived Barriers to AI Citations

Survey: Course Feedback and Next Steps

GEO Mastery: Earning AI Citations and Authority Across Platforms is the definitive, hands-on program for marketers, SEOs, and content leaders who want to be cited by AI engines like ChatGPT, Perplexity, and Google AI Overviews. As search shifts from links and rankings to generated answers and citations, Generative Engine Optimization (GEO) becomes the new growth lever. In this course, you’ll learn how AI engines discover, evaluate, and cite content, and you’ll implement a research-backed playbook to make your pages the source AI trusts. Through nine structured modules, you’ll master the technical foundations of retrieval-augmented generation (RAG), the content architectures that are easiest for AI to extract and quote, the schema and standards that signal credibility, and platform-specific tactics that win citations across the modern AI ecosystem. You’ll also build durable authority using E-E-A-T principles, entity optimization, and original research. Finally, you’ll measure what matters with practical GEO metrics and complete a 90-day action plan that moves you from theory to repeatable results. If you’re ready to future-proof your content strategy, capture high-intent AI traffic, and become the reference AI engines recommend, this course is your roadmap.

GEO Mastery: Earning AI Citations and Authority Across Platforms

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            <p>GEO Mastery: Earning AI Citations and Authority Across Platforms equips marketers and freelancers with a rigorous, research-backed framework for achieving visibility in AI-driven discovery. As generative engines increasingly mediate how audiences find and trust information, the center of gravity shifts from traditional rankings to being cited as an authoritative source. This course begins by defining Generative Engine Optimization (GEO), clarifying why it matters now, and distinguishing it from SEO. You will learn the fundamental shift from keyword rankings to citation-worthiness, and how AI engines select, evaluate, and attribute sources across ChatGPT, Perplexity, and Google AI Overviews.</p>
<p>Across nine structured modules, you will build both strategic insight and practical execution skills. Module 2 demystifies how AI engines work—especially Retrieval-Augmented Generation (RAG)—so you can create content that is inherently “citation-ready.” Module 3 distills nine research-backed tactics, including what to avoid (such as keyword stuffing), while Module 4 translates strategy into content architecture: answer-first structure, extractable elements, and the formats most likely to earn citations. Module 5 covers technical essentials—from schema and ilms.txt to speed, accessibility, and freshness signals—followed by Module 6’s platform-specific playbooks and cross-platform strategy. Module 7 advances your authority through E-E-A-T, entity optimization, and first-party research; Module 8 provides measurement frameworks, metrics, and tools to track AI visibility; and Module 9 culminates in a 90-day implementation roadmap with quizzes, scenarios, and surveys to validate mastery and accelerate adoption.</p>
<p>By the end, you will be able to diagnose why content is not cited, engineer pages for AI Overviews, and operationalize a cross-platform GEO program that compounds authority. Whether you manage brand content or client portfolios, this course gives you the processes, templates, and measurement discipline to convert expertise into AI-era citations—and turn citations into pipeline.</p>
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