Using Claude Code to scale content strategy

Does any of this sound familiar? Your university's websites have thousands of web pages managed by dozens or hundreds of editors, and your team is somehow supposed to ensure it's all high quality, well organized, audience-focused, accessible, and of course optimized for search and now AI engines. This is the challenge of content strategy and governance in higher ed. Whether your goal is streamlining content across your websites, or preparing to move to a new CMS, you're faced with the question of focus. You have the expertise, but even if you had a dozen experienced content strategists, you can't tackle thousands of pages effectively without it taking years. You have to choose where to put your time and energy. Early 2026 marked an inflection point in the ability for non-developers to use AI coding assistants to build solutions to scale their expertise. In this session, you'll see how you can use Claude Code to get your arms around huge websites and develop targeted plans for improvement. We'll explore how to assess content quality, spot gaps in coverage for audience needs, identify redundant and conflicting content, and analyze repeating UI component patterns for your design system.