{"id":19919,"date":"2024-02-21T11:40:32","date_gmt":"2024-02-21T16:40:32","guid":{"rendered":"https:\/\/enterprise-knowledge.com\/?p=19919"},"modified":"2025-09-25T09:20:11","modified_gmt":"2025-09-25T13:20:11","slug":"how-to-prepare-content-for-ai","status":"publish","type":"post","link":"https:\/\/enterprise-knowledge.com\/how-to-prepare-content-for-ai\/","title":{"rendered":"How to Prepare Content for AI"},"content":{"rendered":"\n

Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve their operations and efficiency while enabling end users to find relevant information quickly and intuitively. <\/p>\n\n\n\n

With the rise of ChatGPT and other generative AI tools in the last year, there\u2019s a common misconception that you can \u201cdo\u201d AI on any content with no preparation. If you want accurate and useful results and insights, however, it requires some upfront work. Understanding how AI interacts with your content and how your content strategy supports AI readiness will set you up for an effective AI implementation. <\/p>\n\n\n\n

How AI Interacts with Content<\/h2>\n\n\n\n

While AI can help in many phases of the content lifecycle, from planning and authoring to discovery, AI usually interacts with existing <\/em>content in two key ways:<\/p>\n\n\n\n

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\"\"<\/a><\/td>\n1) Comprehension: <\/strong>AI must parse existing content to \u201cunderstand\u201d an organization\u2019s vernacular or common language. This helps the AI model create statistical models, cluster content and concepts, and create a baseline for addressing future inputs.<\/td>\n<\/tr>\n
\"\"<\/a><\/td>\n2) Search: <\/strong>AI often needs to quickly identify snippets of content related to text, chunking longer content into smaller components and searching these components for relevant material. These smaller snippets are often used to gain an understanding of new or updated material.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n\n

When AI examines existing content, it is trying to understand what it is about and how it relates to other concepts within the knowledge domain, and there are steps we can take to help. While this blog is mostly considering how large language models (LLMs) and retrieval augmented generation (RAG) AI<\/a> interact with content, the steps listed below will prepare content for a variety of other types of AI for both insight and action.<\/p>\n\n\n\n

Developing a Content Strategy<\/h2>\n\n\n\n

The best way to prepare content for AI is to develop a content strategy that addresses the relationships, the structure, the clean up, and the componentization of the content. One key preliminary activity will be to audit your content<\/a> with the specific lens of AI-readiness, and to assess your organization\u2019s content against the steps listed below.  <\/p>\n\n\n\n

Model the Knowledge Domain<\/strong><\/h3>\n\n\n\n