AI has changed the math on web optimization. The same tools reshaping how users find content can now help you analyze and improve every layer of a web property. Tasks that used to require a dedicated strategist, an SEO specialist, and a week of spreadsheet work can now be done in hours with the right AI workflows.
But there's a bigger shift underneath the efficiency gains. The machines reading your content aren't just search crawlers anymore. AI tools and agents are researching, comparing, and recommending on behalf of your users, often without ever rendering your front end. Search is evolving from SEO to AEO/GEO, to what's next: Agent Optimization (AO). The content architecture decisions you make today directly determine whether these systems can find, parse, and accurately represent what you've built.
This session covers both sides.
First, how to use AI as your optimization analyst across the full stack: content audits, accessibility reviews, performance analysis, structured data validation, and content architecture improvements. Then, how to prepare what you've built for the AI discovery landscape.
You'll leave with a practical framework for running AI-assisted optimization audits on any web property, and a clear picture of which architecture decisions matter most as discovery shifts from search engines to AI agents.
Audience
Intermediate
Session Category
Emerging Technologies
Speaker(s)