In Episode 39 of Beyond the CMS, host Chris Bryce, Partner - Strategy at Dotfusion, sits down with Joel Goodman, VP - Growth Strategy at Squiz, to explore how organizations can make their content discoverable in the era of AI-powered search and answer engines.
With over 13 years running a digital agency focused on higher education before joining Squiz, Joel breaks down why traditional SEO tactics are no longer sufficient when ChatGPT, Perplexity, and Google's AI Overviews are changing how people find information. He explains what it takes to make enterprise content AI-ready, what actually matters for visibility, and how to fix the issues that prevent content from surfacing in AI search results.
The conversation moves beyond generic advice about "optimizing for AI" and digs into the practical, technical, and strategic decisions that determine whether your content gets found—or gets skipped.
Key topics include:
• Why AI search is different from traditional SEO and how LLMs parse content differently than Google bots
• What content intelligence tools reveal about contradictions, structure, and readability issues across your site
• How conversational search works on your own website—and why it matters for user experience
• Why Squiz built its AI search layer on top of 15+ years of proven search algorithms, not generic LLMs
• The role of schema markup, structured data, and how to automate implementation at scale
• Why web performance still matters for AI visibility—and what a 499 error code means for your content
• How to balance brand experience with the structured content AI engines need to understand
• Why content strategy, accessibility, and clarity benefit both humans and AI simultaneously
• The shift from beautiful design to highly structured, parsable content—and where UX still wins
• Squiz's hybrid CMS approach: traditional page building + full headless API flexibility
• How Squiz integrates conversational search, personalization, A/B testing, and customer data platforms
• Real-world use cases in higher education, professional services, legal firms, and government
• Why composable architectures can add cost uncertainty—and when an all-in-one DXP makes more sense
• What content contradictions are, why they kill AI visibility, and how to find and fix them
• Why LLMs skip slow websites and what that means for content-heavy enterprises
• The Guardian Agent architecture that validates AI responses before they reach users
Joel emphasizes that Answer Engine Optimization is not about gaming a new system. It's about making content understandable, consistent, and accessible—for both people and machines. The same principles that create better user experiences and meet accessibility standards also improve AI discoverability.
Whether you're a CMO trying to understand why your brand isn't showing up in ChatGPT results, a digital leader evaluating CMS platforms, or a content strategist rethinking information architecture for the AI era, this episode provides clear, actionable guidance on what actually works.