A growing share of searches now end without a click. Someone asks ChatGPT, Perplexity, or Google how to do something, reads the answer the machine assembles, and never visits a website. GEO, generative engine optimisation, is how you make sure your content is one of the sources that answer is built from. Here is what it means in practice and a checklist you can apply this week.

A clear definition

GEO is the practice of structuring and writing content so that AI answer engines cite it, quote it, or use it as a source when they generate responses. The goal is no longer only to appear on a results page. It is to be the material the model pulls from when it writes its answer, and ideally to be named as the source.

The term started appearing in academic work around 2023, when researchers at Princeton and others published a paper studying which content features made generative engines more likely to cite a source. It has since become shorthand for the whole discipline of optimising for AI-generated answers rather than traditional blue links.

How GEO differs from SEO

SEO and GEO overlap, but they optimise for different end states.

Traditional SEO aims to rank a page highly so a person clicks it. Success is a position on the results page and the click that follows. The unit of value is the page.

GEO aims to get your content used inside a generated answer. Success is a citation, a quote, or a mention in the model's response. The unit of value is the passage. A model rarely lifts your whole article. It pulls the two sentences that directly answer the question, so well-structured passages matter more than overall page authority.

The practical consequence: a page can rank tenth in Google and still be the source an AI Overview quotes, because the model chose it for the clarity of one paragraph, not its ranking. Conversely, a page that ranks first but buries its answer in fluff may get skipped entirely by the generative layer.

How AI answer engines pick sources

The major engines work in slightly different ways, but the pattern is similar enough to plan around.

ChatGPT with browsing and Perplexity both run a search, retrieve a handful of pages, and then read them to compose an answer. Perplexity is the most transparent: it shows numbered citations inline, so you can see exactly which sources it used. It tends to favour pages with clear, extractable statements and recent dates.

Google AI Overviews sit on top of Google's existing index. They draw heavily from pages that already rank well, then summarise across several of them. So strong classic SEO still feeds AI Overviews, but the pages most likely to be quoted are the ones that state facts plainly.

Across all of them, a few features keep showing up in cited sources. Direct answers placed early. Specific statistics with numbers. Named, datable sources. Definitions written as definitions. Content the model can lift without having to interpret. The research from Princeton found that adding relevant statistics, quotations, and citations measurably raised the chance of being cited, in some tests by 30 to 40 percent.

A practical GEO checklist

Here is what to do to a piece of content to make it more citable.

Answer the question in the first two sentences

If your article targets "how long should a blog post be", the opening should state an answer directly before any preamble. Models extract the passage that answers the query, and they look near the top first. Put the conclusion up front, then explain.

Write definitions as definitions

When you introduce a term, define it in a single clean sentence: "X is a Y that does Z." This is the exact shape a model wants when someone asks "what is X". Vague, narrative introductions get skipped.

Include specific statistics with sources

"Most teams struggle with this" is unciteable. "About 65 percent of marketers publish less than once a week, according to the 2025 Content Marketing Institute survey" is exactly the kind of line that gets quoted. Numbers plus a named source are gold for GEO.

Cite your own sources clearly

Name studies, link to primary sources, and attribute quotes. Models appear to trust and reuse content that itself shows its working, possibly because it signals reliability. It also lets the engine chain to your sources, which keeps you in the citation graph.

Add an FAQ section

Question-and-answer formatting maps directly onto how people query AI engines. A clear question heading followed by a tight two to four sentence answer is one of the most extractable structures you can write. Cover the real follow-up questions, not invented ones.

Use structured headings that match real queries

Phrase your H2 and H3 headings as the questions or topics people actually ask. "How GEO differs from SEO" is more extractable than "The Differences." The heading tells the engine what the passage beneath it answers.

Add schema markup

FAQ schema, Article schema, and HowTo schema give engines machine-readable structure. This matters most for Google's surfaces, which lean on structured data. It is not a magic switch, but it removes ambiguity about what each part of your page is.

Keep facts current and dated

Generative engines favour recent content for anything time-sensitive. Put a visible date on the page, update the facts when they change, and say when you last reviewed it. A 2026 statistic beats a 2021 one even if the older number is technically still in range.

Be the most complete answer on one specific thing

Breadth loses to depth here. A page that thoroughly answers one narrow question is more likely to be cited than a shallow page covering ten. Pick the question you can answer better than anyone and go deep.

Measuring whether it works

GEO is harder to measure than SEO because there is no rank tracker for "got quoted by ChatGPT." Start by asking the engines themselves: run your target questions through Perplexity and Google AI Overviews and note whether you are cited. Track referral traffic from AI tools in your analytics, which is small but growing and worth watching as a trend. Perplexity and ChatGPT both pass identifiable referrers.

Some platforms now score content for citability before you publish. Austen runs both SEO and GEO scoring on every draft and flags where an article lacks the clear answers, statistics, or structure that answer engines reward, so you can fix it before it goes live. It is free to start with five articles.

Begin with one move: rewrite the opening of your three best-performing articles so each answers its core question in the first two sentences, with one specific statistic. That single change does more for GEO than any amount of schema, because it targets the exact passage an engine is hunting for.

What Is GEO? A Practical Guide to Generative Engine Optimisation