April 2027
Intermediate
200 pages
5h 22m
English
Content preview from Generative Engine Optimization with Python
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Chapter 1. Introducing GEO
This chapter will teach you what Generative Engine Optimization (GEO) actually is, how it relates to both search engines and SEO, and why I treat it as its own discipline rather than a rebrand of search optimization. You’ll learn how to:
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Define GEO
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Contrast and compare AI platforms with search engines
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Contrast and compare GEO with SEO
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Clarify GEO, AEO, AIO, and AI SEO
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Preview the five principles behind AI search visibility
Defining Generative Engine Optimization (GEO)
In March 2025, the New York Magazine declared “SEO is dead, say Hello to GEO!”. Which begs the question, what is GEO?
If you asked AI what Generative Engine Optimization (GEO) is, AI would define it as the practice of structuring content so that AI platforms such as ChatGPT, Perplexity, Google, Claude and similar systems select the content as source material when they generate an answer.
However, GEO is much more than structuring content. As this chapter and later chapters in this book ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.