What is generative engine optimization (GEO)?

Generative engine optimization (GEO) is the practice of making content more likely to be found, used and cited by AI systems that write answers to questions.

How it works

The term comes from a 2023 research paper by Pranjal Aggarwal and colleagues, later accepted at the KDD 2024 conference. The authors built a benchmark of queries (GEO-bench), tested ways of rewriting source content, and reported that some methods raised a source's visibility in AI-generated answers by up to 40%, with results varying by subject area (Aggarwal et al.).

AI answer systems work differently from a page of ten blue links. They retrieve many sources, break them into passages, and assemble an answer that cites a few. Being useful means having passages that answer clearly on their own. Microsoft's Bing team, writing about inclusion in AI search answers in October 2025, describes pages being split into modular pieces that "get ranked and assembled into answers," and recommends (Microsoft):

• titles, H1s and descriptions that agree with each other;
• headings that work as "chapter titles" for clear sections;
• question-and-answer pairs and lists or tables for comparisons;
• "sentences that make sense even when pulled out of context";
• not hiding key details in images, PDFs or collapsed tabs.

Google's position is that its AI features need nothing beyond normal SEO: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary" (Google Search Central). Read together, the sources point the same way: GEO is mostly good SEO and clear writing, applied at the level of the passage.

Why it matters for your website

Buyers increasingly ask assistants to explain a category or shortlist vendors before visiting any site. If your pages are the clearest source on a question, you are more likely to be cited and named. Two caveats keep GEO honest: measurement is still rough (citations and AI referrals are only partly visible in analytics), and tactics that would mislead a reader, such as hidden text or keyword stuffing, are no more acceptable to AI systems than to search engines.

Example

A vague paragraph rewritten to be citable:

Before: "Our flexible plans scale with you, so you only pay for what you need."

After:  "Acme has four plans. Starter costs $29 per month for up to 3 users.
         Team costs $99 per month for up to 15 users. Annual billing saves 20%."

The second version gives an assistant facts it can quote and attribute. The first gives it nothing.

Related terms

• Answer engine optimization (AEO): the older, overlapping term.
• Zero-click search: why being cited matters even without a click.
• AI crawler: the bots that must be able to fetch your pages first.
• Structured data: machine-readable facts that support clear answers.
• Search intent: the question behind the query.