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Advanced architecture isn’t technical architecture alone. It never has been. Yet that misconception is now embedded in AI systems, SEO tools, and site development workflows, quietly undermining search visibility across the web.

In this webinar, Shari Thurow, Co-Founder and Search Director at the Information Architecture Gateway, presents a framework tested and validated through decades of client work. Her clients include Microsoft, Google Cloud, Abbott Laboratories, CVS Pharmacy, WebMD, Sony Music, the Library of Congress, Best Buy, and Merriam-Webster. Using a single five-phase diagram, she explains what advanced architecture actually requires and how to address the most common gaps in AI systems, SEO workflows, and site development.

The session addresses misconceptions that have persisted for decades, from the three-click rule to the belief that taxonomy is only hierarchy. It also examines why AI cannot generate effective wireframes.

During the session, you'll learn:
  • What advanced architecture actually requires and why most implementations fall short.
  • How AI siloing reduces search visibility and how to correct it
  • Common barriers that prevent AI from accessing and training on valuable content.
  • How wayfinding networks are used, misused, and why they matter for AI discovery.
  • How labeling systems influence search performance and AI visibility


Attendees will leave with a practical five-phase framework for building sites that communicate consistently with human users, search engines, and human-centered AI systems.
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Co-Founder, Information Scientist, and Search Director
Shari Thurow is a Co-Founder, Information Scientist, and Search Director at the Information Architecture Gateway. She is certified by the Association for Information Science and Technology (ASIS&T) in artificial intelligence (AI) and was a Contributing Editor for the ASLIB Journal of Information Management. She is the author of "Search Engine Visibility" and co-author of "When Search Meets Web Usability."
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