Generative Engine Optimization (GEO): How is it different from SEO?

Generative Engine Optimization, or GEO for short, means preparing content so that AI systems such as ChatGPT, Perplexity, Gemini or Google’s AI Overviews include it in their answers and cite it as a source. SEO aims for a good position in a list of results. GEO aims to become part of the answer. The two are not mutually exclusive: GEO builds on SEO and complements it.

The difference in one sentence

In SEO, pages compete for a click; in GEO, paragraphs compete for a citation. AI systems don’t read a page as a whole but pull out individual statements. That is why a page can rank well and still never be cited if its answers are buried in long introductions.

What stays the same

• The page must be indexed, fast and technically sound.
• Content must answer the user’s question better than others do.
• Trust signals such as author, legal notice, reviews and mentions count.

What’s new

1. Quotable sentences. Every important statement stands in a self-contained sentence that makes sense without context.
2. Facts and figures. Specific values, cited sources and your own data increase the chance of being cited. Research on GEO from 2023 showed that statistics and quotations measurably improve visibility in AI answers.
3. Covering follow-up questions. AI systems break a question down into sub-questions. Pages that also answer the obvious follow-up questions are drawn on more often.
4. Brand instead of keyword. For recommendations, what counts is how often and in what context your company is mentioned on other sites.
5. New metrics. Instead of position and click-through rate: how often is your brand named in AI answers on your topics, and with what statement?

Which measures pay off first

Start with the pages that make money: service pages and your most important guides. Under each subheading, write a first sentence that fully answers the question. Add figures from your business, such as project duration, typical costs or results. Then check whether your company is listed on the portals that AI assistants cite as sources for your topics.

What GEO is not

GEO is not a trick for outsmarting AI systems. Hidden instructions to the AI in page text, mass-produced content or bought mentions get noticed and damage credibility, with people and search systems alike.

Related reading: llms.txt: Does my website need it? and Google AI Mode: What does it mean for my website?

FAQ

What is the difference between GEO, AEO and LLMO?

The terms largely describe the same goal from different angles. AEO stands for Answer Engine Optimization and emphasises direct answers; LLMO stands for Large Language Model Optimization and emphasises the language models behind them. In practice, the measures overlap almost completely; what matters is the content, not the label.

Do you need special tools for Generative Engine Optimization?

Not to get started. Regular tests with a fixed set of questions in the main AI assistants, Search Console and your server logs already give you a good picture. Specialised tools that automatically track mentions of your brand in AI answers are more worthwhile if you want to monitor many topics or markets.

Can my current SEO agency handle GEO as well?

Often, yes, because GEO builds on the same foundations as SEO. Ask specifically whether the agency measures your visibility in AI answers, revises content to make it quotable and builds mentions on external sites. If its reports only cover rankings and clicks, the GEO part is still missing.

When to hand this over

• Your team has so far done SEO on the side and can’t take on GEO as well.
• You don’t know whether and how your company appears in AI answers.
• You want a strategy that brings SEO, GEO and advertising together.

Our approach to visibility in AI search is set out on our page about AI in marketing. For a quick look at your website, try the free SEO Quick Check.