Generative engine optimization: What we know so far
ai-hidden, Artificial IntelligenceGenerative engine optimization: What we know so far
SEO is changing. We’re entering a new era of search — the AI age — and with it comes generative engine optimization (GEO), the practice of optimizing content for AI-driven engines such as ChatGPT or Perplexity.
If we want our content to reach the right people, we need to adapt. There’s no need to throw out the SEO principles you’ve spent decades learning. Much of GEO is an extension of these techniques — and it’s not as scary as it sounds.
Let’s take a look at what we know about GEO so far.
Table of Contents
What is generative engine optimization?
GEO vs. SEO
Why is GEO important?
How does generative engine optimization work?
How to Do Generative Engine Optimization
Tips for Navigating the Generative SEO Landscape
Generative Engine Optimization FAQ
The good news for SEO is that generative engines pull information directly from web content (as well as other sources) to deliver responses to user queries. They use large language models (LLMs) to make sense of the information scraped and provide coherent, relevant answers.
ChatGPT, Perplexity AI, and Google AI Search are all examples of generative engines.
Generative engines work by:
Interpreting a user’s query.
Leveraging personal data it may have on the user, such as preferences or conversation history.
Searching to find relevant answers to the query
Synthesizing information from these documents...
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