AEO and GEO: which is which, and a prompt that does the work either way
Answer engine optimisation and generative engine optimisation are contested labels, not standards. One prompt that does the work behind both.
- Works in
- ChatGPT, Claude, Gemini
- You need
- The full text of one page, headings included · Three questions a buyer asks before choosing you · The definition your agency or tool uses, if you were given one
- Written for
- answer engine optimization vs generative engine optimization
Scored by our own engine
This page, run through the audit we sell. Measured 4 August 2026.
Answer engine optimisation and generative engine optimisation are industry labels, not standards. There is no specification behind either one, no body that arbitrates them, and no agreed boundary between them, which is why two agencies can sell you opposite definitions and both be entitled to. The prompt below settles the labels in 150 words and spends the rest of its output on work that is identical either way.
Only one of the two terms has a document behind it
Generative engine optimisation comes from a named paper. Answer engine optimisation does not come from anywhere in particular.
GEO was introduced in GEO: Generative Engine Optimization, a paper by Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande, posted to arXiv in November 2023 and presented at KDD 2024. It proposes a way of measuring how visible a site is inside a generated answer. It is a research contribution, not a specification anybody is obliged to follow.
AEO has no equivalent origin. It circulated among SEO practitioners before generative assistants were common, when an answer engine meant a featured snippet or a voice assistant reading one result aloud. Nobody published it and nobody owns it.
One fact dissolves most of these arguments. Google, OpenAI and Anthropic all publish detailed crawler documentation, and none of them publishes a document defining either term. There is nothing to be official about.
The argument people are actually having
Strip the labels away and two genuinely different kinds of work are left. One is making your own pages retrievable and quotable. The other is changing what the rest of the web says about you.
The first is entirely yours. Can a crawler fetch the page, does the content survive without JavaScript, is there a passage under each heading that answers a question on its own. All of it is editable this afternoon and measurable.
The second is mostly not yours. Whether you appear in the comparison posts, directories and forum threads an assistant reads when somebody asks it to recommend a supplier. That work is slower, it looks more like public relations than SEO, and it is the half most retainers quietly omit.
Both get sold under both labels. Which of the two you are buying is a real question with a real answer, and it never comes up in an argument about definitions. That is what the last section of the prompt forces.
Why the prompt refuses to arbitrate
Ask a model what AEO and GEO mean and it hands you a clean two column table, because clean tables are what it has read. Every constraint in part one exists to stop that: no standards body, no invented third reading, no adoption percentage, and a requirement to say that usage is inconsistent.
Then it drops the vocabulary and edits your page, which was always the real work. Run the result through the AI content readiness check to see whether the rewrites moved anything, and take the rest of the AI visibility prompts from there.
You are an AI visibility strategist. I want two separate things from you: a
straight account of what the labels AEO and GEO mean, and a work plan that
does not depend on which label anybody uses.
PART ONE, the labels. No more than 150 words, and follow these rules exactly.
1. Say that neither term is a standard. Generative engine optimisation comes
from a named research paper. Answer engine optimisation is an industry
coinage with no defining document behind it. Do not attribute either term
to a specification, a standards body or an AI operator, because none of
them has published one.
2. Describe how the terms are used in practice and state plainly that usage is
inconsistent and the boundary is not agreed. Give the two common readings
rather than picking a winner: one treats AEO as the older direct answer
surfaces and GEO as the generated ones, the other treats one of them as the
umbrella and the other as a subset. Do not invent a third reading to make
the split look tidier than it is.
3. If I pasted the definition my supplier uses, separate the part of it that
is a description from the part that is a claim, and name anything in it
that cannot be checked.
4. Do not tell me what share of searches are answered by AI, how quickly the
shift is happening, or how much traffic anybody has lost. You do not have
those figures.
PART TWO. Stop using the labels entirely and do the work.
For each buyer question I give you, produce four things:
- The passage on my page that answers it, quoted exactly.
- Whether that passage survives being lifted on its own, and why. A passage
that needs the paragraph above it to make sense does not survive.
- A rewrite under 60 words that does survive: direct answer first, every
figure sitting next to the thing it describes, no sentence a machine has to
unpick to work out which number applies to what.
- If nothing on my page answers the question, say so and write the passage
that should exist.
Then two closing sections.
WHAT THIS PAGE CANNOT FIX. The parts of being named in an answer that do not
live on my page at all: what other sites say about me, whether I appear in the
comparison pages and listicles an assistant is likely to read, and whether a
crawler is allowed to fetch me in the first place. Be specific to my business
rather than generic.
FIVE QUESTIONS TO ASK A SUPPLIER selling me either label, written so that a
supplier doing real work can answer them and a supplier who has renamed an
existing SEO retainer cannot.
Constraints:
- Do not claim that any assistant reads any particular file unless I have
pasted the operator's own documentation saying so.
- Do not invent statistics, adoption figures or percentages anywhere.
- If my page text is too short to judge, say so rather than producing a
rewrite of nothing.
What I sell, and to whom: [ONE SENTENCE ON WHAT YOU SELL AND TO WHOM]
Three questions a buyer asks before choosing: [THREE QUESTIONS, ONE PER LINE]
The definition my supplier uses: [PASTE WHAT YOUR AGENCY OR TOOL CALLS AEO OR GEO, OR WRITE "none"]
The page: [PASTE THE FULL PAGE TEXT INCLUDING EVERY HEADING]What to change
Everything in square brackets is yours to replace. Nothing else needs editing.
[ONE SENTENCE ON WHAT YOU SELL AND TO WHOM]- Decides what a good answer looks like. "We sell fractional CFO services to seed stage startups" produces rewrites aimed at a founder comparing three firms. "We sell accounting software" produces rewrites aimed at nobody, because the buyer is missing from the sentence.
[THREE QUESTIONS, ONE PER LINE]- The questions a buyer types into an assistant, not your keywords. "How much does a fractional CFO cost in the UK" is a question. "Fractional CFO pricing" is a keyword, and it produces a rewrite optimised for a search box rather than for the passage an assistant lifts.
[PASTE WHAT YOUR AGENCY OR TOOL CALLS AEO OR GEO, OR WRITE "none"]- Paste the actual paragraph from the proposal, deck or product page. This is what part three of the output works on, and it is the fastest way to find out whether you were sold a defined service or a definition. Writing "none" is fine and skips that section.
[PASTE THE FULL PAGE TEXT INCLUDING EVERY HEADING]- One page, with the headings intact, pasted rather than linked. The headings are the boundaries a model chunks on, so a page pasted as unbroken text will be judged as one long passage and every rewrite will come back worse than it needed to be.
How to run it
- 01Get your supplier definition in writing
If an agency or a tool has sold you AEO or GEO, copy the paragraph where they define it. You are going to compare it against the fact that no operator or standards body publishes either definition. If nobody has sold you anything, write "none" and go straight to the page.
- 02Write three real buyer questions
Say them out loud as a person would type them into ChatGPT, including the price question you would rather not answer on the page. The questions people actually ask an assistant are blunter than the ones marketing writes, and the blunt ones are the ones that get answered by somebody.
- 03Paste one page, headings included
Copy the visible text of a single page with its heading structure intact. Do not hand the model a URL. Some assistants cannot fetch it, others fetch a rendered version that differs from what a crawler receives, and the fetched copy usually arrives with the headings flattened.
- 04Check part one against the sources before you trust part two
Read the label section and confirm it did not quietly promote either term to a standard. Models are strongly inclined to produce a clean taxonomy because clean taxonomies are what they have read. If it names a governing body or a specification, that is a fabrication and the rest of the output deserves the same suspicion.
- 05Ship the rewrites, one per heading
Put each rewritten passage directly under the heading that asks its question, as the first thing a reader meets. Do not append them as an FAQ block at the bottom and consider it done. The passage has to sit where the question is asked, because that is the boundary a model chunks on.
- 06Measure the page rather than trusting the rewrite
Run the page through the free AI content readiness check. It scores whether sections are bounded by headings, whether answers arrive in the first line and whether an author is named, which is the same property the rewrites were aiming at. A rewrite that does not move the score did not change the thing that matters.
Questions people ask
What is the difference between AEO and GEO?
There is no agreed difference, and anyone who states one crisply is describing their own usage rather than a definition. In common use, answer engine optimisation refers to the older direct answer surfaces such as featured snippets and voice assistants, while generative engine optimisation refers to answers written by a language model. Plenty of practitioners use one as the umbrella term for the other. Neither is wrong, because neither term has an authority behind it.
Where does the term GEO come from?
From a research paper titled "GEO: Generative Engine Optimization" by Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande, published on arXiv in November 2023 and presented at the KDD 2024 conference. The paper proposes a framework for measuring and improving how visible a website is inside a generative engine response. It is a research contribution, not a specification anyone is obliged to follow.
Is answer engine optimisation an official standard?
No. There is no specification, no standards body and no operator documentation defining answer engine optimisation. The term circulated in SEO writing before generative assistants were widespread, when an answer engine meant a featured snippet or a voice assistant reading one result aloud. It describes a goal rather than a method.
Do Google, OpenAI or Anthropic publish AEO or GEO guidelines?
No. All three publish documentation about their crawlers and how to control them, and none publishes a document defining either term or telling you how to comply with it. That absence is the reason the labels drift: there is nothing to check a definition against, so vendors set their own.
Which one should my business be doing?
Both labels sit on top of the same two jobs, so the useful question is which of those two you are buying. One is making your own pages retrievable and quotable, which you control entirely. The other is changing what other sites say about you, which you mostly do not. A supplier who cannot say which of the two they are doing is selling the label.
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