What is GEO? Generative engine optimization explained

What does GEO stand for, and where did the term come from?

GEO stands for generative engine optimization. A generative engine is a search tool that reads several sources and writes a single answer in plain language, instead of returning ten blue links. ChatGPT search, Perplexity, Google AI Overviews and Microsoft Copilot all work this way.

The term was popularized by a 2023 research paper from a group of university researchers, GEO: Generative Engine Optimization, which tested how changes to a page affect whether an AI answer quotes it. The paper reported visibility gains of up to 40 percent for pages that added quotations, statistics and cited sources.

GEO is a young field. There is no official rulebook, and anyone who promises a guaranteed AI ranking is guessing. What you can rely on is how these systems are built: they fetch pages, pull out passages and stitch them into an answer. GEO is the work of making your pages good raw material for that process.

How is GEO different from SEO?

SEO, search engine optimization, is about earning a high position in a list of links. The visitor sees your title and description, decides whether to click, and arrives on your site. Success is measured in rankings and clicks.

GEO is about being used as a source inside a generated answer. The visitor may read a three-sentence summary and never click at all. Success is measured in mentions, citations and the quality of the traffic that does follow a link.

Most of the work overlaps. A page has to be crawlable, fast and trustworthy before either system will use it. The difference is in the details: In practice, AI engines tend to quote short, self-contained passages that answer one question, facts with numbers attached, a named author and a clear date, and structured data that labels what each part of the page is.

How do SEO, GEO and AEO compare?

You will also see the term AEO, answer engine optimization. It is older than GEO and focuses on getting a direct answer shown in featured snippets, voice assistants and answer boxes. The three overlap heavily, so treat them as three views of one job rather than three separate projects.

The table also shows why a single audit can cover all three. A 40 to 60 word answer at the top of a page tends to serve snippets, voice assistants and AI summaries alike.

What do AI engines actually look at on a page?

They look at the same things a careful human reader would, just faster. In practice that comes down to four groups of signals.

• Access: whether the crawler is allowed in. OpenAI documents three separate crawlers, GPTBot, OAI-SearchBot and ChatGPT-User, and each one is controlled by its own robots.txt rule. Blocking OAI-SearchBot keeps your pages out of ChatGPT search results, while GPTBot only controls training use. OpenAI notes that robots.txt may not apply to user-initiated ChatGPT-User fetches.
• Structure: clear headings, ideally phrased as the questions people ask, with the answer in the first sentence under each heading. Tables and lists are easy for a model to lift cleanly.
• Evidence: concrete numbers, named sources and links to the primary document, which give a model something safe to repeat.
• Trust: a named author, a visible updated date and consistent facts across the site, so the engine can tell who stands behind the page.

Google is explicit that no special markup is needed for its AI features. Its documentation on AI features and your website says a page must be indexed and eligible to show in Search with a snippet to appear as a supporting link, so ordinary SEO health comes first.

How do you start with GEO on your own site?

Start with the five changes that cost the least and matter the most.

1. Open your robots.txt file and confirm you are not blocking the AI crawlers you want to be cited by.
2. Put a direct answer of 40 to 60 words at the top of every important page, then expand below it.
3. Turn your main subheadings into the questions customers really ask, and answer each one in its first sentence.
4. Add numbers and name your sources. A sentence with a figure and a link is far easier to cite than a general claim.
5. Show who wrote the page and when it was last updated, and consider marking the page up with structured data. Article and FAQ markup is optional for Google, but it helps machines label the page.

Optionally, add a plain-text summary of your site at /llms.txt. The proposal at llmstxt.org describes a Markdown file that lists your key pages for language models. It is a proposal rather than a standard, so do it last.

Then measure where you stand. A ratemysite.ai audit checks these items in one pass, scores your site from 0 to 100 points and links each failed check to a step-by-step fix.