As users increasingly rely on tools like ChatGPT, Gemini, and Microsoft Copilot for business recommendations, SEO is undergoing a major transformation.
Inclusion in LLM-generated results is quickly becoming the defining factor for brand visibility- separating those who grow from those who disappear.
Today, SEO is no longer just about ranking on Google. It's about being understood by the systems that generate answers and suggestions. This shift demands a new focus on EEAT principles, structured data, and brand reputation, but it doesn't stop there.
In this session, attendees will discover how to build an SEO strategy that teaches language models to recognize, understand, and recommend their brand. The session will explore how to:
• Teach LLMs who a brand is and why it deserves to be recommended
• Optimize websites and content so they are machine-readable, structured, and reusable
• Apply schema markup and entity-based signals to improve Al comprehension
• Implement technical SEO strategies tailored for AI crawlers and indexers
• Align onsite optimization with the behavior and expectations of Al-driven user journeys
• Strengthen brand perception and online reputation to influence AI-generated answers
• Combine conversion-focused SEO with entity optimization to dominate both SERPs and summaries
Ideal for SEO professionals, marketers, and brands preparing for the next evolution of search, this session offers a clear, actionable roadmap to thrive in an Al-first search landscape-where LLMs decide who gets seen.