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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您将学到什么
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.
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Generative Engine Optimization (GEO) 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
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.
涵盖的内容
12个视频5篇阅读材料4个作业
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.
涵盖的内容
10个视频4篇阅读材料4个作业
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.
涵盖的内容
9个视频4篇阅读材料4个作业
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.
涵盖的内容
1个视频1篇阅读材料2个作业
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常见问题
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.
更多问题
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¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。