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What is GEO? Generative engine optimisation, in plain English

When someone asks ChatGPT, Gemini, Claude or Perplexity a question, the engine does not hand back a list. It writes a fresh answer and cites a handful of sources it leaned on. GEO is the work of being the content it pulls from, and names.

GEO (generative engine optimisation) is the practice of shaping your content so generative AI engines quote it, cite it, and name you inside the answers they generate. Where classic SEO optimises a page to rank, GEO optimises it to be lifted: phrased so a model can quote it, backed by facts it can trust, and echoed by the sources it already reads.

How a generative engine builds an answer

It helps to see the pipeline, because GEO targets each stage of it. When you ask a modern engine a question, it usually does three things in a second or two:

  1. Retrieve. It searches the live web (and its own index) for pages relevant to your question, and pulls a shortlist of sources.
  2. Synthesise. It reads those sources plus what it already knows, and writes one answer, choosing which brands, claims and quotes to include.
  3. Cite. It attaches the sources it relied on, and names the businesses it recommends.

SEO fought to win step one on a page of ten blue links. GEO is about winning steps two and three: being chosen into the written answer and credited as a source. A page can be retrieved and still never make the answer. GEO is the difference.

GEO and AEO: two sides of the same coin

You will see this work called both GEO and AEO, and the line between them is thin. The useful way to hold it: AEO is the outcome you want, being the answer AI gives. GEO is the content craft that gets you there, making each page the kind of source a generative engine lifts and cites. Do AEO without GEO and you have goals with no substance for the model to quote. Do GEO without AEO and you polish pages with no plan for which questions to win. You need both, and they compound.

The levers of GEO

The original Princeton and Georgia Tech GEO study tested what actually moves a source up inside a generated answer. The winners were about substance, not keywords:

  1. Quotable expert statements. Adding relevant quotations from credible people lifted visibility in generated answers by roughly 41%. Models reach for language they can drop in verbatim.
  2. Cited statistics. Adding real, sourced numbers lifted visibility by about 30%. A model would rather cite a page that states a figure than one that hand-waves.
  3. Clear, structured claims. Definitions, comparisons and step lists that state one idea cleanly. Machines lift what is stated plainly and skip what is buried in fluff.
  4. Third-party evidence. Being named in the roundups, directories, reviews and threads the engine also reads. Most AI citations point at sources other than the brand's own site, so mentions elsewhere carry weight.
  5. Freshness and access. Recently updated pages that AI crawlers can actually reach. Blocked bots or stale pages drop out of the shortlist before synthesis even starts.

Notably, keyword stuffing, the old SEO reflex, did close to nothing. GEO rewards being genuinely worth quoting.

What the data says

Questions, answered

Is GEO different from SEO? Yes. SEO optimises a page to rank in a list. GEO optimises a page to be quoted and cited inside one generated answer, which rewards clear claims, real citations and being echoed by other sources rather than keyword density.

Where do I start? With the questions your buyers actually ask an engine, then make the one or two pages that answer each so quotable a model cannot ignore them. The 12-point AI visibility checklist is the same list we run on our own site.

How do I know if it is working? Test it, do not guess. Ask the engines your buyers' questions and count who gets named and cited, or run the free AI visibility audit, which does it against a live engine and scores you out of 100 in about a minute.

So do I need AEO or GEO? Both. Read What is AEO? for the outcome side, and AEO vs SEO for how all of this sits alongside classic search.

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