When AI Becomes the Search Engine

SEO, AEO & GEO Explained—What's Emerging & What Remains Unclear

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Traditional search is changing fast. AI-powered research tools are reshaping how people find information. And the truth is, we're all learning as this unfolds.

Join us for a look at what's shifting in search: traditional SEO alongside the emerging frameworks of AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). We cover what's changing, what patterns are showing up, and where the questions are as this continues to develop.

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Why This Matters Now

Your web traffic patterns look different than they did six months ago. You're not imagining it.

People are researching differently. Instead of just Googling, they're asking ChatGPT, Claude, and Perplexity for recommendations. They're also getting answers from Google's AI Overviews before they even click a link. And if you're like most marketing and sales teams, you're watching this shift happen in real time and wondering what it means for your strategy.

Traditional SEO still matters, but it's not the complete picture anymore. New frameworks are emerging: AEO (Answer Engine Optimization) for direct answers and featured snippets, and GEO (Generative Engine Optimization) for being cited by AI models. The rules are still being written, which means there's genuine opportunity in understanding what's taking shape.

Close-up of two smartphones showing OpenAI ChatGPT and Google search apps side by side, symbolizing the shift from traditional SEO to AI-powered search and generative engines.

What's Actually Happening

Some things are getting clearer:

  • AI models access and process content differently than traditional search engines
  • Technical signals that didn't matter before now influence visibility
  • Standards are gaining traction as companies experiment with new approaches to help AI index your websites and guide to your content
  • Different AI platforms behave differently, requiring different thinking and approaches

Some things are still murky:

  • How to measure your visibility across AI platforms
  • Which approaches will still work in six months versus which are temporary
  • Where to allocate resources between traditional SEO and these newer AI frameworks

This video walks through both: what we're observing that seems solid, and where the interesting questions are as this space continues to develop.

Person analyzing web traffic data and visitor trends on a laptop dashboard, representing how marketers are tracking the impact of AI-powered search, SEO, AEO, and GEO on website performance.

What You'll Walk Away With

A Clearer Picture of the Shift

Understand what SEO, AEO, and GEO mean, how they differ, and how they work together. We'll break down the technical differences in how AI models access information versus how Google crawls websites.

Practical Approaches You Can Test

Learn about emerging standards like /llms.txt, structured data patterns companies are experimenting with, and what seems to be working (and what doesn't) across different platforms.

A Realistic View of Measurement

Get an honest assessment of what the emerging tools can tell you about your AI visibility and what's still being figured out. No overselling what's possible.

The Right Questions to Explore

Leave with a framework for thinking about where to invest your time and what to test as this space evolves.

Meet Your Expert Speakers

Eric Carr Headshot

Eric Carr

President & AI Lead, Compoze Labs

Eric brings the technical depth to understand how AI models actually work under the hood. He's been researching how LLMs retrieve and process information, testing implementations, and identifying patterns in what influences visibility. Eric specializes in taking complex technical concepts and making them accessible and actionable. He'll break down the technical differences that matter and help you understand what's taking shape.

Caity Viren Headshot

Caity Viren

Director of Marketing, Compoze Labs

Caity has been deep in research mode on how search is evolving. She's been tracking the emergence of AEO and GEO, testing different content approaches, and watching what seems to work as AI-powered search changes buyer behavior. She brings both the marketer's perspective on strategy and an honest view of where the gaps in our understanding still are. Caity will walk you through the evolution from SEO to these newer frameworks and what it means for how you approach content.

Who Should Watch

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Marketing or sales leaders watching traditional channels shift and trying to stay ahead

number-2

Content strategists wondering how to adapt your approach for AI-powered research

number-3

Technical SEO professionals ready to expand beyond traditional optimization

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Product marketers noticing changes in how your buyers discover solutions

number-5

Anyone responsible for visibility who's trying to make sense of where search is headed

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