What is generative engine optimization and why should you care

My mom asked me what I do for work the other day. I said "generative engine optimization" and watched her face for about three seconds before clarifying.

"It's SEO but for ChatGPT instead of Google."

She got it immediately. Because the concept is simple even if the acronym sounds like something a VC made up to raise a round.

Generative engine optimization (GEO) is the practice of improving how your brand, products, and content appear in AI-generated responses from models like ChatGPT, Gemini, Claude, and others. Same basic idea as SEO. You want to show up when people look for things in your category. But the mechanics are different because AI models don't work like search engines.

A search engine crawls pages, indexes them, and ranks them based on a few hundred signals. An AI model reads text during training, stores patterns and facts, and generates responses by assembling information it has encoded. It doesn't "look up" your page in real time (usually). Your visibility depends on whether your content got processed during training and how it got encoded relative to competing information.

This distinction is important because a lot of the advice about GEO that's floating around treats it like SEO with a different label. It's not.

AI models don't rank pages. They generate text. When someone asks "what's the best email marketing tool," the model doesn't consult a ranking table. It generates a response based on patterns in its training data about what an answer to that question typically looks like and what specific companies are associated with email marketing in its encoded knowledge.

This means your "ranking" in AI depends on:

Frequency of mention in authoritative sources. If your brand is discussed in 50 credible articles about email marketing tools versus a competitor being discussed in 5, the model is more likely to associate you with the category.

Context of mention. Being described as "the best email marketing tool for ecommerce" is more useful than "an email marketing tool" because it gives the model something specific to draw on when answering related questions.

Recency of training data. If the model's training cutoff is six months ago and your competitor launched a major product update three months ago, the model won't know about it. This creates windows where being current in real-world discussion doesn't translate to AI visibility (and vice versa).

Structuredness of your content. Well-structured content with clear headings, tables, and bullet points survives the training process better than dense paragraphs. The model can extract and store specific facts more accurately from structured content.

The difference isn't subtle once you think about it.

In SEO, you optimize for a search engine that will show your link to a user who then visits your site. In GEO, you optimize for an AI that will summarize information about your category, possibly mentioning you, possibly not linking your site at all, and the user might never visit you.

This changes the goal. It's not just about traffic anymore. It's about presence. Are you part of the answer being generated? If you're not, you're excluded from an entire channel of customer acquisition that's growing faster than any other.

A 2025 study from someone who actually does this for a living (not marketing fluff) showed that being mentioned in AI-generated responses increased unaided brand recall by about 35% compared to appearing in traditional search results for the same query. People remember the AI's answer. They trust it more than they trust a blue link.

Right now: anyone whose customers do online research before buying. That covers B2B SaaS, DTC brands, services, travel, education, and basically everything else where "let me Google that" or "let me ask ChatGPT" is part of the purchase flow.

If your customers are asking AI models for recommendations, comparisons, or advice about your category, and you're not showing up in those answers, you have a visibility gap. It's not hypothetical. You can check it right now.

Type a question your customers ask into ChatGPT. See if you're mentioned. See who is. If the answer is "not me" and "my competitor," you have work to do. If you don't know, you should find out.

The nice thing about GEO being early-stage is that most companies haven't started doing it yet. The window is still open.