This course explores the advanced business applications and emerging trends of Generative Engine Optimization (GEO)—the evolution of SEO for the AI-powered digital landscape. You will learn how to apply GEO frameworks strategically to enhance brand visibility, build audience trust, and create scalable, AI-ready content ecosystems.
Generative Engine Optimization (GEO) Business Applications
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Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Apply advanced GEO frameworks to optimize business and marketing performance.
Analyze real-world case studies to evaluate GEO impact across industries.
Design business strategies for AI-driven visibility and content scaling.
Explore evolving AI and search innovations to continuously refine and future-proof GEO strategies.
Skills you'll gain
Details to know
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Taught in English
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There are 4 modules in this course
This module provides learners with an opportunity to explore how Generative Engine Optimization (GEO) principles adapt across diverse industries. Learners will examine e-commerce, finance, and healthcare case studies to understand how credibility, structure, and compliance influence generative visibility. Through practical comparisons and graded assessments, they will demonstrate their ability to customize GEO strategies for different sectors, ensuring optimized content performance across varied real-world contexts.
What's included
12 videos5 readings4 assignments
This module provides learners with an opportunity to master the scaling and automation of GEO strategies across languages, tools, and enterprise systems. Learners will explore multilingual optimization, AI agents for GEO monitoring, and integration within martech ecosystems. Through hands-on projects and graded assessments, they will demonstrate the ability to build scalable, automated GEO workflows that enhance global visibility and operational efficiency across industries.
What's included
10 videos4 readings4 assignments
This module provides learners with an opportunity to explore the emerging frontiers and ethical dimensions of Generative Engine Optimization (GEO). Learners will examine multimodal content strategies, responsible GEO practices, and the risks of misinformation in AI-driven discovery. Through an applied capstone project, they will design, execute, and evaluate a future-ready GEO initiative, demonstrating mastery in ethical, innovative, and impact-driven optimization for the generative era.
What's included
9 videos4 readings4 assignments
This module provides learners with an opportunity to synthesize their knowledge and demonstrate mastery of GEO strategies across content, automation, and ethics. Learners will review key concepts from multilingual scaling, multimodal optimization, and responsible GEO practices, connecting them to real-world applications. They will complete graded assessments to apply their understanding in practical scenarios.
What's included
1 video1 reading2 assignments
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Frequently asked questions
Multimodal GEO refers to optimizing not just text, but images, charts, videos, and voice content so they can be effectively interpreted and surfaced by generative AI engines like ChatGPT, Gemini, and Claude.
Unlike SEO, which targets keyword-based ranking on web pages, GEO focuses on how AI models interpret, summarize, and cite your content in natural language responses. It’s more about context, authority, and factual grounding than keyword density.
Generative engines increasingly pull visual and contextual cues from multimodal content. Structured, annotated, and captioned visuals help AI systems understand and cite your brand’s assets in richer responses.
More questions
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.