Content Is Data: How Structure, Schema, and GEO Drive Modern Search

Search engines and AI tools no longer rely on keywords alone—they rely on structure, context, and clarity to understand content. Many B2B teams create strong editorial content that underperforms because the data layer behind it is unclear or misaligned.

Ahava Leibtag will show you how content functions as a data layer, and how schema, generative engine optimization (GEO), and editorial strategy work together to improve search and AI visibility. You’ll explore how content teams can spot structural gaps, collaborate more effectively with web and technical partners, and apply these ideas using real-world examples.

In Ahava’s session, you’ll learn:

• To think of content as a data layer that helps search engines and AI correctly interpret and surface expertise
• How unclear structure, taxonomy, and page intent can quietly limit content performance—and how to identify those issues
• How to collaborate more effectively with web and technical teams to align content strategy with search and AI goals

Get your B2B Forum ticket now!