Optimizing Technical Content for AI Using Structured Content

January 13, 2025
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Whether you’re actively exploring AI-powered tools or not, preparing your content now is crucial for future success.

While much attention is focused on leveraging generative AI to improve technical writing, there is just as much, if not more, to understand about how you write content for AI. It’s not as simple as pointing AI at your product content and letting it go. You need to understand how generative AI and large language models work and how the way you create your product documentation impacts the efficiency of AI applications.

The answer to creating technical content that supports generative AI is to implement a unified framework that includes a structured approach to creating, managing, and storing technical content.

In this whitepaper, you’ll discover: 

  • Why unstructured content is less suitable for AI ingestion
  • How AI “reads” content
  • How LLMs and probability work
  • How structured authoring helps optimize content for AI ingestion
  • The importance of unified knowledge for AI
  • Specific AI considerations for content governance
  • EXTRA: Tools and learning resources to help get your product knowledge AI ready

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