Here’s the harsh truth: There is no universal AI search optimization strategy.
Why? Because different large language models (LLMs) — like Google AI Overviews, ChatGPT, and Perplexity — are trained on different data, use different methodologies, and generate results in different ways.
If you’re treating them all the same, you’re leaving visibility (and results) on the table.
In this session, we’ll break down:
• How major AI models differ in training data, ranking factors, and content retrieval.
• How to tailor your content to increase the chances of being cited, summarized, and surfaced across different AI-driven platforms.
• Actionable GEO (generative engine optimization) strategies for Google, OpenAI, and emerging AI engines.
• What brands and marketers need to do now to avoid becoming irrelevant in an AI-first search landscape.
