{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Beyond the CMS - A Content Management Podcast","title":"Beyond The CMS #39 - Chris Bryce (Dotfusion) with Joel Goodman (Squiz)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/e150ac36\"></iframe>","width":"100%","height":180,"duration":2164,"description":"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 unpack what it actually takes to make enterprise content discoverable in AI-powered search engines and answer platforms.\n\nJoel brings over 13 years of experience running a digital agency serving higher education before joining Squiz, where he now helps organizations modernize their content platforms and optimize for both human and AI audiences. He explains why traditional SEO practices fall short when ChatGPT, Perplexity, and Google AI Overviews are reshaping how people search, and what organizations need to do differently to stay visible.\n\nThe discussion goes beyond surface-level advice and explores the structural, strategic, and technical realities of Answer Engine Optimization. Joel explains how large language models interpret content differently than traditional search bots, why speed and structure matter more than ever, and how content contradictions across a website can kill discoverability entirely.\n\nKey topics include:\n• How AI search differs from traditional SEO and why LLMs parse content in fundamentally different ways\n• What Answer Engine Optimization means in practice and why it starts with content strategy, not tactics\n• Why Squiz built conversational search on top of 15+ years of proven search algorithms instead of bolting AI onto generic tools\n• How content intelligence tools surface contradictions, readability issues, and structural problems that block AI visibility\n• The role of schema markup and structured data—and how to implement it at scale without manual tagging\n• Why web performance directly affects AI discoverability and what a 499 error code means for your content\n• How to balance brand experience with the highly structured, parsable content that AI engines require\n• Why accessibility, readability, and content clarity benefit both human users and AI simultaneously\n• The tension between...","thumbnail_url":"https://img.transistorcdn.com/FO-MfURcPdfZAybU3p1Sq0_mV2DxhS0owOU508deeIY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNjcx/M2I0M2FjODk0Yjg4/ODdjZDJkMDM1NWE3/ZGE0ZS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}