Ask ChatGPT, Claude, Gemini, and AI Overviews the same question and you'll get four different answers. Not because one is wrong, but because each model was trained on different data, weighted differently, and fine-tuned with different goals. Understanding how these models learn is the first step to influencing what they say about your brand.
Watch our 30-minute breakdown of how large language models work, how real-time search layers on top, and what it all means for your brand's visibility with today's AI-powered buyer.
What you'll learn
- How AI search differs from traditional search and why keyword strategies don't translate to LLM-generated responses
- The phases of LLM development and how each one shapes what AI says about your brand
- How real-time search influences AI responses and what marketers can do about it
- Why an LLM's foundational knowledge is the foundation for AI agents and what that means for your long-term brand strategy
Why Evertune
Evertune monitors brand visibility across ChatGPT, Claude, Gemini, AI Overviews, and more. We measure AI responses at both the foundational model layer and the consumer app layer, giving brands visibility into what AI knows before it ever runs a search. That dual-layer view, combined with real-time tracking across every major AI platform, is what makes us uniquely qualified to break down how these models work and what it means for your brand.
Speakers
- Madison Brisseaux, VP of Product Marketing
- Daniel D'Agruma, Principal Software Engineer
