GEO vs AEO: two names for the same measurable thing

What we measured

• Of the 75 answers we examined across this category, 18 came from ChatGPT: 16 on comparison questions and 2 on explainer questions. Every answer about tools, services or reports came from Google's AI answers.
• Neither abbreviation identifies the category on its own: bare “geo” draws 110,000 searches a month of geography and dictionary lookups, and bare “aeo” is dominated by a clothing retailer's stock ticker.
• All 75 answers we examined in this category were produced by a web search, so a page can reach every one of them, in either place.
• The category's own vocabulary is 19.4 times more common on Google's AI answers than in ChatGPT; everyday business phrases are only 2.7 times more common.

The terminological answer, briefly

Generative engine optimization and answer engine optimization are two names for making a business findable and citable inside AI-generated answers. GEO usually emphasizes generated answers; AEO usually emphasizes direct answers to direct questions. Vendors use them interchangeably and so, in the questions we measured, do the people asking.

We keep them apart on this site for one measured reason: the domains cited on GEO questions and on AEO questions are not the same set. The discipline is one thing; the competitive landscape you are entering depends on which word your buyer types.

The difference that is real: where the answer appears

Both abbreviations get asked about in two very different places, ChatGPT and Google's AI answers, and the split is not random.

In our sample, ChatGPT answers appear only on comparison and explainer questions – what is GEO, what is AEO, which replaces which. In the same sample, every question with buying intent we examined, about tools, services or a report, was answered on Google's AI answers and not by ChatGPT.

A wider comparison of the wording on both services, filtered the same way, says the same thing at a larger scale: the median gap for everyday business language is 2.7×; for this category's vocabulary it is 19.4×. That gap belongs to the category, not to the corpus.

The practical reading: today, being present on Google's AI answers is where the buying questions are. Wanting to win inside ChatGPT does not move the buyers there.

What is the same on both

Every one of the 75 answers we examined was produced by a web search rather than from the model's own memory. That is the part that matters commercially, because an answer built from a web search is an answer a page can get into.

On the one pricing question we examined, every cited page owned the figure the answer needed; we have not tested whether that holds generally. 5 separate page-side and domain-side explanations – structure, sentence matching, a page per trade, site shape, off-page authority – failed to predict being named in our tests.

The questions this page answers

• aeo vs geo1,000/mo
• aeo and geo480/mo
• geo vs aeo390/mo
• geo aeo320/mo

4 questions, 2,190 searches a month between them. All 4 answers we examined on them were produced by a web search, which means a page can reach every one.

Who an assistant cites on these questions today

• powerdigitalmarketing.com 3
• jasper.ai 3
• neilpatel.com 2
• meltwater.com 2
• yext.com 2
• reddit.com 2
• youtube.com 2
• firstlinesoftware.com 1
• getfoundquick.com 1
• vortexsolution.com 1

15 distinct domains are cited across these questions; the 10 above are the most frequent, with the number of answers each appears in. Counted from the answers captured in our corpus, not from a market census.

What to ask before you buy

• Do not let a vendor sell you GEO and AEO as two products. Ask instead which AI app they measure and how often.
• If a vendor reports only ChatGPT, they are reporting the one place where, in our sample, no buying question was answered.
• If a vendor reports only Google's AI answers, ask what they would do when the split changes – because on this evidence it will.

Honest limits of what we measured

• 75 answers is a small sample and it comes from one corpus at one point in time. The split between the two is directional, not a constant.
• The corpus records captured questions, not every question asked. Absence from it is not proof that nobody asks.
• This comparison covers two places answers appear, ChatGPT and Google's AI answers. Our reports check six assistants: ChatGPT, Gemini, Perplexity, Claude, DeepSeek and Mistral; the free scan asks three of them.

Questions we get asked

Start with one free reading

One business, real questions, the raw answers back – before you decide on anything paid. If you are running this for a book of clients, say so and we will talk terms rather than quote a page price.

If you want it run for you: fixes to your site are $499, a new site $999, and monitoring $99 a month – the same figures in every trade. The report is priced per trade; see what each one includes.

Related

• GEO vs SEO
• AEO vs SEO
• LLM and AI search visibility tools
• Answer engine optimization
• All eleven measurements →

Pricing is per category, because the work differs by how competitive the answers are. See every category we measure and what a reading costs →

Published 31 August 2026. Every figure on this page is recomputed from raw observation files by a single script, so any of them can be traced back to the readings behind it. We make your site citable. We do not promise placement in any assistant’s answer – we measure whether you are in it, and show you the raw answers either way.