AI for Knowledge Base Editors: Audit articles, improve searchability, and plan missing content

A knowledge base can contain hundreds of useful articles and still leave customers and support teams searching for answers. AI for Knowledge Base Editors: Find and Fix Gaps shows you how to use AI and ChatGPT workflows to audit your content, uncover weaknesses, improve searchability, and plan the articles your audience needs next.Maya Ellison presents a practical, structured approach for knowledge base editors, technical writers, support leaders, and content managers. You'll learn how to set up a reliable content audit, evaluate article quality with AI, identify unclear or incomplete information, and discover coverage gaps by examining user questions, search behavior, and existing documentation. The book also explains how to turn audit findings into a realistic, prioritized content plan rather than an overwhelming list of revisions.The introduction establishes the principles and workflow, while the focused chapters guide you through diagnosis, discoverability, gap analysis, prioritization, and continuous improvement. A concluding framework helps you build a repeatable AI-assisted process for keeping your knowledge base accurate, useful, and easier to navigate over time.