Master the art of generative engine optimization (GEO) to future-proof your digital marketing career. This course gives SEO professionals, digital marketers, and content strategists the highly sought-after GEO skills businesses are looking for.
AI SEO: Mastering Generative Engine Optimization (GEO)
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Learn to draft content that gets noticed by leading AI search platforms, including Google AI Overviews, Bing Copilot, Perplexity, and ChatGPT
Develop a clear understanding of how SEO has evolved into AI-powered SEO, reshaping visibility, discovery, and user intent
Compare traditional SEO with AI-driven SEO by exploring entities, topical authority, and GEO strategies in action
Evaluate GEO performance by working with real datasets and uncover new opportunities to optimize for AI-driven results
Skills you'll gain
- Generative AI
- Web Analytics and SEO
- Web Content
- Content Marketing
- Content Creation
- Analysis
- Keyword Research
- Semantic Web
- Competitive Analysis
- Business Ethics
- Search Engine Optimization
- Content Development and Management
- Data Strategy
- Performance Measurement
- Artificial Intelligence
- Ethical Standards And Conduct
- Digital Marketing
- Content Strategy
Details to know
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Recently updated!
November 2025
Assessments
4 assignments
Taught in English
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There are 2 modules in this course
This module introduces the evolution of SEO in the age of AI. Starting with a historical overview, from keyword-stuffing to semantic SEO, it progresses to today's AI-driven discovery systems. You will learn how AI engines like Google SGE and Perplexity are transforming search, shifting focus from keywords to user intent and from web pages to direct answers. The module also explains how AI understands content through entities, context, and topical authority, showing why traditional SEO strategies alone are no longer enough. Through videos, readings, and interactive labs, you will gain a practical understanding of AI SEO and why it is essential for the future of digital marketing.
What's included
4 videos2 readings2 assignments5 plugins
This module introduces Generative Engine Optimization (GEO), the practice of optimizing content for AI-powered search engines rather than traditional ones. You will learn how AI systems generate answers, the content formats they prioritize (such as FAQs, summaries, authoritative lists, and schema-rich data), and strategies for positioning your brand to be cited in AI-generated responses. The module includes practical exercises in restructuring content to meet AI-friendly standards and explores the ethical considerations of GEO, including the balance between automation and human oversight. You will also learn techniques to evaluate GEO performance through competitor analysis and hypothetical datasets, gaining hands-on experience in measuring visibility in AI-driven search results.
What's included
6 videos3 readings2 assignments6 plugins
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Frequently asked questions
Generative engine optimization (GEO) is the process of optimizing content specifically for AI-driven search engines rather than traditional search engines. As AI increasingly handles search queries, content visibility will depend not on ranking in blue links but on being cited in AI-generated answers. GEO is the skill content creators and marketers use to increase the chance that their content is recognized and cited by AI-driven search engines.
This course gives you a practical understanding of how AI search engines interpret intent, entities, and context. You will learn to craft content in AI-friendly formats such as FAQs, summaries, lists, and schema-supported data that AI systems can easily reference. By combining conceptual knowledge with hands-on exercises, you will develop strategies that improve your content’s visibility in AI-generated results.
You will gain experience with leading AI search platforms, including Google AI Overviews (formerly SGE), Bing Copilot, Perplexity, and ChatGPT. The course covers how these tools interpret queries, evaluate content relevance, and display information, helping you adapt your content strategy for maximum impact across multiple AI-driven search environments.
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