GEO, AEO and SEO: what each means and how they differ

SEO is the practice of earning visibility in search engine results. AEO, answer engine optimisation, is the practice of making your content easy to lift into a direct answer. GEO, generative engine optimisation, is the practice of being included when an AI system writes an answer in its own words. The three overlap heavily, and the labels matter less than the shared work underneath them.

What is SEO?

Search engine optimisation aims to make your pages appear, and appear high, in a search engine's list of results. The user then chooses which link to open.

The output is a ranked list. The measure is position: where your page sits for a given query. The work covers technical health, content that matches what people search for, and links from other sites.

SEO is the oldest of the three and the best understood. Its methods and its metrics are mature.

What is AEO?

Answer engine optimisation aims to make your content the source of a direct answer. Think of a featured snippet, a short box at the top of a results page, or a voice assistant reading out one sentence.

The output is a single extracted answer. The work leans on clear question-and-answer structure: a heading that states the question, a first sentence that answers it, and supporting detail below. Structured data can help machines identify what a page contains.

The term is also used more loosely for AI assistants, because they too answer rather than list.

What is GEO?

Generative engine optimisation aims to get your brand included in the text a generative AI system writes. The assistant composes a fresh answer, often after searching the web, and names the brands and sources it chooses.

The output is a paragraph or list in the assistant's own words, sometimes with citations. There is no results page and no position in the traditional sense. The question is whether you are in the answer at all, and in what role.

Because the answer is generated, it can differ from run to run. That makes GEO harder to measure than SEO, and it is why careful testing matters. See why AI answers change every time you ask.

How do they compare?

These are tendencies, not strict boundaries. A single page can serve all three.

Where do they overlap?

Almost everywhere that matters. All three reward content that is:

• Accurate and specific, saying plainly what you do, for whom and at what scale.
• Easy to read, with headings that match real questions and answers near the top.
• Easy to fetch, which means pages that load, are not blocked, and are not hidden behind scripts. AI crawlers and robots.txt covers the access side.
• Backed by other sources, since reviews, roundups and mentions elsewhere help both search engines and assistants form a view of you.

An assistant that searches the web often reads pages that search engines have already surfaced, which is why the link between Google rankings and AI answers is real but loose.

Where do they differ in practice?

Three differences are worth knowing.

What counts as success. SEO success is a position and the visits it brings. GEO success is being named, recommended or cited, and the value may arrive without a click.

How stable the result is. A ranking can be checked today and again tomorrow with similar results. An AI answer is a sample from a process that varies, so you measure it by repeating the question and looking at how often you appear.

Where the decision is made. In search, the user weighs the options. In an AI answer, the assistant has already narrowed the options before the user sees them. Third-party pages carry unusual weight, because the assistant often builds its view from them.

Which one should you start with?

Start with the shared foundation: clear pages, accurate claims, a site that machines can read. That helps all three at once.

Then measure where you stand in AI answers, because that is the part many teams cannot see. The Citewake checker gives a quick first look. Our guide to what AI visibility is explains what to count, and how Citewake measures shows one careful way to do it.

Treat the acronyms as descriptions of emphasis rather than separate disciplines. The useful question is not which label applies. It is whether the people who should find you, find you, in search results, in snippets and in the answers assistants write.

Are the labels worth arguing about?

Mostly not. The acronyms came from different communities at different times, and people use them loosely. You will see GEO and AEO used interchangeably, and AEO sometimes used for anything that involves a direct answer. What matters when you read a claim is the definition behind it.

Ask three plain questions of any advice. What outcome does it aim at: a ranking, an extracted answer, or a mention in a written answer? How would you know it worked? And does it depend on a trick, or on making your content clearer and better supported?

Advice that answers those questions plainly is usually sound, whatever it is called. Advice that leans on a new label to justify unusual tactics deserves more caution. Good practice here tends to look like good practice elsewhere: say clearly what you do, be accurate, make your pages easy to read and fetch, and be honestly present where buyers and assistants look.