{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Beyond the CMS - A Content Management Podcast","title":"Making AI Search Useful Starts with Better Content: Megan Andrews of Squiz","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/61164720\"></iframe>","width":"100%","height":180,"duration":2148,"description":"Useful AI search starts with content people and machines can understand. Megan Andrews, Head of Customer, U.S. at Squiz, joins Chris Bryce to explore the content work behind conversational website experiences.\nMegan demonstrates Squiz Content Intelligence, including accessibility findings, topic-level AI-readiness checks and recommendations for contradictory, ambiguous or missing information. The conversation also covers DXP and headless tradeoffs, student feedback, human oversight and the limits of external answer-engine optimization.\nWhat you will learn\nHow to weigh an integrated DXP against a headless stack and your team's capacity\nWhy real student feedback matters more than assumptions about AI adoption\nHow Squiz Content Intelligence groups content into topics and flags weak answers\nWhere accessibility fixes and AI-readable content overlap, without treating them as guarantees\nHow to test important user questions and inspect the source pages behind an answer\nWhy fresh information, human review and content ownership still matter\nChapters\n0:00 Welcome to Beyond the CMS Episode 51\n1:24 Megan Andrews and Squiz\n2:30 DXP vs headless: team capacity and integration tradeoffs\n5:57 Who Squiz serves: higher education and government\n7:52 Thoughtful AI and humans in the loop\n11:23 What students actually want from AI search\n12:45 Synthetic personas and real-user blind spots\n15:31 Conversational website interfaces\n17:10 Squiz conversational search demo\n18:30 Why AI makes content strategy more important\n21:05 Content Intelligence accessibility walkthrough\n23:06 AI readiness: contradictions, ambiguity and gaps\n25:21 University of Montana search example\n26:50 SEO vs AEO: control what you can control\n28:53 Test real questions and trace the source pages\n30:57 Related content, freshness and unresolved limits\n34:21 Connect with Megan and closing thoughts\nAbout Megan Andrews\nMegan is Head of Customer, U.S. at Squiz, overseeing client expansion, renewals and customer growth strategy....","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}