This course teaches learners how to structure and optimize content so it earns recognition in AI-generated responses as well as traditional search engines. Focusing on content clusters and attribution analysis, you will practice designing pillar–spoke structures that build authority and increase the chance of being cited by large language models. Through CMS-based exercises, you’ll learn how to schedule and link content effectively, creating campaigns that signal topical depth and credibility. The course also introduces attribution reporting, showing how to identify high-performing pages, analyze AI mentions, and flag underperformers. You will translate these findings into clear editorial briefings with actionable recommendations for stakeholders. Guided reflections, interactive discussions, and a graded project ensure you connect theory with practice. By the end, you will confidently create, evaluate, and refine AI-ready content strategies that boost visibility, credibility, and measurable engagement across platforms.
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Analyze & Create AI-Driven Content Citations
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该课程共有1个模块
This course teaches you how to structure and optimize content for both AI-generated responses and traditional search engines. You’ll learn to design pillar–spoke content clusters, analyze attribution data, and translate insights into actionable editorial strategies. By the end, you’ll be able to create and refine AI-ready content that enhances visibility, authority, and engagement.
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7个视频3篇阅读材料4个作业
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状态：预览University of California, Davis
状态：免费试用Coursera
状态：预览University of California, Davis
状态：免费试用
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