What is GEO, and how does it differ from traditional SEO?

In this resource, Monica Raszyk talks about the emerging discipline of Generative Engine Optimization (GEO) and explains why content teams need to consider both human and AI readers to stay discoverable. Check out the videos and dive into the practical guides to get up to speed on this hot topic.

Future-focused content: Why GEO is becoming critical

What is Generative Engine Optimization and why is it becoming an essential tool for content teams today? Now that we’ve covered the what, continue your journey with GEO with more insights and info below.

Generative Engine Optimization (GEO): What you need to know

Your next reader might be an AI. Are you ready? In this blog, packed with concrete examples, we cover how AI is reshaping content discovery and what that means for SEO.

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GEO and SEO work together to improve content discoverability

GEO—also known as AEO or even LLMO—is all about making your content clear, authoritative, and easy for generative AI tools to find, understand, and potentially cite. That means prioritizing structure, readability, and clarity over just keywords and backlinks.

In this video, you’ll learn:

  • The difference between GEO and traditional SEO
  • Why structure and clarity matter more than ever
  • Why you should make your content usable by both AI and humans

Ready to dive into practical tips on how to actually put GEO into practice? Our comprehensive guide below is a great place to start.

How to optimize content for AI and LLMs: A practical guide to GEO

You don’t need a full content overhaul to start with Generative Engine Optimization (GEO). This guide offers beginner-friendly tips to help your content show up in AI-generated answers.

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