In this talk, Dii Pooler will cover how large language models process and interpret PPC landing pages, revealing critical insights that can transform PPC campaign performance.

Drawing from over a decade of paid search expertise, Dii will break down the specific elements LLMs prioritize when analyzing page content from headline structure and keyword placement to semantic relationships that traditional optimization often misses.
Attendees will learn practical strategies for aligning landing page architecture with LLM reading patterns, understanding how these AI systems evaluate page relevance and quality signals differently than human visitors.

Dii will demonstrate real-world examples of how restructuring content hierarchy and information flow can improve both AI interpretation and conversion rates, along with actionable frameworks for testing and validating these optimizations across Google, Meta, and Bing campaigns.

This session is essential for PPC strategists, paid media managers, and digital marketers looking to stay ahead as AI increasingly shapes how platforms evaluate and serve ads to their target audiences.