Generative engine optimization, or GEO, is the work of becoming one of the sources an AI engine names inside its answer, rather than one of the ten blue links underneath it. Same goal as SEO, different engines and a different way of measuring whether it worked.
More people now ask ChatGPT, Google AI Overviews, Claude and Perplexity a question instead of scrolling a page of links. Those tools answer in a paragraph and cite a handful of sources. GEO is the work of earning one of those slots.
You will also see the same idea called answer engine optimisation (AEO) or AI optimisation (AIO). The labels differ, but they all describe one job: earning a mention inside an AI-generated answer.
GEO vs SEO: what actually changes
Classic SEO is about ranking in a list. Someone searches, sees ten links, and you want to be near the top. GEO is about being named inside a single generated answer, often before the user sees any links at all.
The mechanics differ, but the foundations are shared. In both cases the engine has to be able to reach your page, read it clearly and trust what it says.
The big shift is measurement. A ranking has a position you can check. A citation is buried inside an answer that changes every time you ask, so GEO feels invisible until you deliberately go looking. That is not a small difference in reporting, it is the whole reason GEO needs its own method.
| Traditional SEO | Generative engine optimisation | |
|---|---|---|
| What you win | A position in a list of links | A named mention inside an answer |
| How you check it | Look up the position | Ask the engine and read the answer |
| What the engine wants | Relevance, links, speed | A clear, verifiable, quotable passage |
| Failure mode | You rank on page four | You are simply absent, with no signal why |
Do all the AI engines behave the same way?
They do not, and this is the finding that surprises most people. Between 31 May 2026 and 25 August 2026 we ran 10,872 probes across five engines from our own production system, and the engines split into two groups.
| Engine | Probes | What it did |
|---|---|---|
| Google AI Overviews | 7,494 | Produced an AI Overview on 3,400, or 45.4% |
| ChatGPT | 913 | Answered every probe |
| Perplexity | 911 | Answered every probe |
| Claude | 792, since 20 June 2026 | Answered every probe |
| Gemini | 762 | Usable citation data on only 94; last probe 3 August 2026 |
The plain reading, as at August 2026: Google is the only one of the five that often declines to generate an AI answer at all. The others always answer something.
For a GEO programme that means a Google-only view will show you an absence roughly half the time, and a summary number cannot tell you whether you lost the citation or the answer was never generated. It also means the engines your customers actually use are worth probing individually rather than rolling into one visibility score.
How AI answers pick their sources
Answer engines pull from pages they can read clearly and trust. In practice that rewards a few concrete things:
- Direct answers near the top. A page that states the answer plainly in the first paragraph is easier to quote than one that buries it under an introduction.
- Clear structure. Headings, short paragraphs and lists give the model clean chunks to lift into an answer. Our academy guide on structuring a page so answer engines can quote it is the practical version of this.
- Facts it can verify. Specific, checkable statements beat vague claims. A price, a date, a measured figure is more quotable than “we offer great value”.
- Consistency across the web. Your name, category and location matching across your site, your Business Profile and directory listings. This is the same groundwork that wins local SEO.
- Being crawlable. If your robots rules or a firewall block the crawler, you cannot be cited at all, no matter how good the page is. If you sit behind Cloudflare, the free crawler block check will tell you whether a bot rule is quietly catching Googlebot along with the AI scrapers.
Classic SEO signals still matter. A page that ranks well and reads clearly is the same page an answer engine is most likely to quote.
The third point is the one we got wrong on our own site, and it cost us. When we scored our own nine articles with our own content tooling in August 2026, they held 10 checkable data points between them across roughly nine thousand words, and seven of the nine contained none at all. Every one scored below our 55-point E-E-A-T threshold, in a range of 22 to 47. There was nothing for an engine to lift.
Why you cannot manage what you cannot see
A ranking has a position you can check. An AI citation is buried inside a generated answer that changes every time. To know whether you are being mentioned, you have to ask the engines the questions your customers ask and record who they name.
That is the baseline: for each engine and each important question, are you mentioned, and next to whom? Without it, GEO is guesswork, and you have no way of knowing whether a change to a page helped, hurt or did nothing.
It is also worth separating two questions that get confused constantly. Asking “does ChatGPT know who we are?” is a much lower bar than “does ChatGPT recommend us?”. Our own numbers show the gap: in the 60 days to 25 August 2026 our branded questions were cited 14 times out of 68 probes, while our non-branded questions were cited 0 times out of 876. We wrote up the full result and what we changed, including the parts that do not flatter us.
A practical way to start
- Pick the questions. List the ten questions a customer would ask an AI before buying from you. Real buying questions, not keywords.
- Ask every engine. Put each question to ChatGPT, Google AI Overviews, Claude and Perplexity, and note whether you are cited and who else is. This is your baseline. Ask each one more than once, because answers vary between sessions.
- Fix your best pages. Make the pages that should answer those questions do so plainly, high up, in clean structure, with facts an engine can verify. Two checkable, dated facts per page is a reasonable floor, and it is the floor we now hold ourselves to.
- Check your plumbing. Confirm your name and details are consistent across your site and Business Profile, and that no robots rule or firewall is blocking the crawlers. The agent readiness check scores the mechanical side of this for you, so you are not reading your own markup by hand.
- Re-check on a schedule. Ask the same questions again in a few weeks so you can see mentions appear, and catch it when a competitor overtakes you. Keep the questions fixed while you change the pages, or the next number is unreadable.
An example
Say you run a bookkeeping firm and ask an AI, “who are the best bookkeepers for tradespeople near me?” If it names three firms and you are not one of them, that is your gap. The fix is usually not mysterious: a clear page that answers exactly that question, a tidy Business Profile in the right category, and reviews the engine can find. Re-ask the question a month later and you can see whether the work landed.
What you should not do is skip straight to the fix. Without the before number, the after number means nothing, and that is the same trap that makes most SEO ROI reporting unprovable.
Argrow tracks your AI-search visibility across ChatGPT, Google AI Overviews, Claude and Perplexity next to your normal rankings, and measures the lift when a change earns you a new citation. See AI visibility tracking.
Frequently asked questions
Is GEO the same as SEO?
No, but they overlap heavily. SEO aims to rank in a list of links; GEO aims to be cited inside a generated answer. A page that ranks well and reads clearly is usually the same page an answer engine is most likely to quote, so good SEO is the foundation GEO builds on.
Does GEO replace SEO?
No. Traditional search is not going away, and the two share most of the same groundwork. Think of GEO as an additional channel to measure and win, not a replacement for ranking in normal results.
How do I get cited by ChatGPT?
State the answer plainly near the top of a well-structured page, back it with specific, verifiable facts, keep your name and details consistent across the web, and make sure crawlers are not blocked. Then measure whether it worked by asking the engine the questions your customers ask.
Can you measure GEO?
Yes, but not with a position number. You measure it by asking each engine the questions your customers ask and recording whether you are cited and who else is, repeated on a schedule so you can see it move. Our own run of that method, 876 non-branded probes in the 60 days to 25 August 2026, returned zero citations, which is the kind of answer a position number could never give you.
Do all the AI engines behave the same way?
No. Across 10,872 of our own probes between 31 May and 25 August 2026, Google produced an AI Overview on 45.4% of the 7,494 questions we put to it, while ChatGPT, Perplexity and Claude answered every single probe. A GEO programme that only watches Google is watching the one engine that often declines to answer at all.