AEO and GEO overlap: answer engine optimization makes content useful in direct answers, while generative engine optimization focuses on visibility in AI-generated responses. Both depend on accessible, well-supported content. For marketing teams, the practical difference is which answers and sources they measure.
AEO vs GEO definitions
Working definitions for comparing a search and AI visibility programme
| Term | Focus | What to measure |
|---|---|---|
| AEO | Answer engine optimization: help a source answer a buyer's question clearly. Agencies use the term across direct answers and AI assistants. | Which answers mention the brand, which link to its pages and which questions were checked. |
| GEO | Generative engine optimization: improve a source's visibility in generated responses. The GEO research paper formalised this research problem. | Mentions and citations for a recorded question set, engine, market and date. Keep each provider's score definition beside its results. |
| SEO | Search engine optimization: help search engines discover, understand and surface useful pages. Google applies its existing SEO guidance to AI features. | Search impressions, clicks, landing pages and enquiries. Google's Search Console includes AI-feature activity within overall Web search reporting. |
These working definitions describe how we scope the work; suppliers may use the labels differently. Our answer engine optimization guide explains the measurement process. The AI visibility service covers the website and content changes that follow.
What is generative engine optimization?
Generative engine optimization, or GEO, means improving how a brand shows up inside AI-generated answers. It overlaps with answer engine optimization, or AEO. Both can aim to make a page useful as a source in an answer. When comparing an AEO agency with a GEO provider, check the actual scope and evidence each includes.
GEO is the biggest of the four terms by search volume. It draws 8,100 monthly searches in the United States at a Semrush keyword difficulty of 87. AEO draws 3,600 at difficulty 65 (Semrush, us database, August 2026).
Difficulty of 87 puts the head term out of reach for a new site. The question phrasings around it stay open. The “what is” version carries 1,900 searches. “Is GEO the same as traditional SEO” carries 90 at difficulty 27. “Why is GEO important” carries another 90 at difficulty 28.
When did the term GEO emerge?
The term comes from a 2023 academic paper. Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande submitted “GEO: Generative Engine Optimization” to arXiv on 16 November 2023 (arXiv:2311.09735).
The paper introduced a benchmark called GEO-bench. Its abstract reports that the methods “can boost visibility by up to 40% in generative engine responses”. People quote that 40% constantly and rarely quote its context.
Two things about the context matter. The paper tested content methods, such as adding quotations, adding statistics and citing sources. It never tested structured data or markup of any kind. Anyone citing it as proof that markup drives AI citations has misread it.
AEO has no comparable origin document. It grew out of practitioner usage. That is part of why nobody has cleanly separated the two terms.
Is answer engine optimization and generative engine optimization the same?
The terms overlap in agency practice. GEO specifically names visibility in generated responses; AEO is also used for work on direct answers. Ask a supplier to identify the surfaces it measures, the content it changes and how results are recorded. The label alone cannot establish the scope.
Our August results-page comparison found different URLs ranking for the terms.
We pulled the top 12 organic results for “answer engine optimization”, “generative engine optimization” and “llm seo” on 8 August 2026 (Semrush, us database). Not one URL appears on more than one of the three lists.
Set Reddit and YouTube aside and only three brands appear on two of the three: Coursera, Forbes and HubSpot. Each time they rank with a different page written for the different term. Google’s own guidance page ranks first for GEO and never appears in the top 12 for the other two.
That dated sample found no shared URLs in the three top-12 lists. It supports checking intent for each term; it cannot establish that a page will never rank for both.
What does GEO mean in SEO?
In current results, GEO reads as the generative meaning rather than the geographic one. The abbreviation used to belong to local and international SEO. Search has displaced that reading.
The results page shows it. The top 10 for “geo seo” on 8 August 2026 includes Google’s AI optimization guide, Wikipedia’s GEO article, a Coursera course on mastering GEO, and two “GEO vs SEO” explainers (Semrush, us database).
“Geo seo” carries 2,900 monthly searches at difficulty 66. If your business does local search work, that term no longer brings you the audience it used to.
What is LLM SEO?
LLM SEO names the same practice after the technology rather than the interface. LLM stands for large language model, the kind of system behind ChatGPT and Claude.
It is the smallest and softest of the four terms. LLM SEO draws 1,300 searches a month at difficulty 35. AI SEO sits at difficulty 74 and GEO at 87 (Semrush, us database, August 2026).
Its results page has a distinct character. The top 12 for “llm seo” holds practitioner blogs and independent tools almost exclusively. No encyclopaedia entry, no analyst piece and no Google documentation appear.
“AI SEO” reads differently again. Tool pages and tool roundups dominate its top 10, so the market treats that phrase as software that does SEO using AI rather than as a practice.
Why is generative engine optimization important?
It matters because more buyer research now ends in a written answer than in a list of links. Pew Research Center found that 18% of Google searches in its March 2025 sample produced an AI summary. Users clicked a search result on 8% of visits where a summary appeared, against 15% where none did (Pew Research Center, 22 July 2025).
The visibility gap behind that is wide. Webflow analysed more than 2,000 US company websites. The median company appeared in 16% of the answers to questions a typical prospect would ask. It earned a link 6% of the time (Webflow AEO Maturity Index).
Our own panels point the same way. Between 14 and 31 July 2026 we ran a fixed question set across ChatGPT, Perplexity, Gemini and Claude for six B2B companies. That produced more than 340 recorded answers. In three of the six, no engine named the company in any answer to an unbranded question.
Which term should a marketing team actually use?
Use the spelled-out term that matches the page’s purpose and the queries buyers use. A comparison page can explain several terms; a service page should make its scope clear.
Our own working rule runs three lines:
- Write “answer engine optimization (AEO)” in full. The bare acronym is unusable. “AEO” alone draws 22,200 searches a month. Its results page belongs to the clothing retailer American Eagle Outfitters and to Authorised Economic Operator, a customs status (Semrush, us database, 8 August 2026).
- Use “generative engine optimization” for a technical or analyst audience. The academic paper, Wikipedia and Google’s documentation all sit there.
- Treat “AI SEO” as a tools query. If you do not sell software, that results page is not for you.
Google says its established SEO practices remain relevant to AI Overviews and AI Mode, with no additional technical requirements for those features. That guidance applies to Google’s own search surfaces. Google Search Central.
What do the four names have in common?
All four describe the same three jobs: get found, get quoted, get named. The vocabulary changes and the work underneath it does not.
Every version asks for the same structural things. Phrase the heading as the question a buyer types. Answer it in the first sentence beneath. Keep one company name across your markup, your titles and your copy. Put a real person’s name on the page.
Measurement depends on the surface. Search Console reports Google Search activity. For a cross-engine answer panel, retain the questions, responses, citations, market and collection date so another reviewer can check the result.
That is why we treat the naming as a titling decision rather than a strategy decision. Pick the term your buyer types, then measure across every engine regardless of what you called the page.
Frequently asked questions
How does generative engine optimization work?
It works by making pages easy to quote and brands easy to identify. In practice that means four things: headings phrased as the questions buyers ask, a direct answer in the first sentence under each heading, one company name used consistently across your markup and your copy, and a named author on every page.
Is generative engine optimization a part of SEO now?
Google treats it as continuous with SEO on its own surfaces and says no special optimisation is needed for AI Overviews or AI Mode. Assistants that run their own retrieval, such as ChatGPT and Perplexity, are not bound by that. The safe reading: GEO is SEO plus a measurement layer for engines Google does not control.
How do I improve my GEO?
Measure it first, because most teams have no baseline. Put 15 to 20 unbranded buyer questions to ChatGPT, Perplexity, Gemini and Claude on a fixed date. Record which brands each engine named and which domains it cited. That number is the one you move.
Are there risks to using generative engine optimization?
The main risk is spending on tactics nobody has evidenced. Several widely repeated figures in this field trace back to blog posts with no disclosed method, no sample size and no control group. Ask for the source of any number a vendor quotes before you budget against it.
Search volumes and results-page data are Semrush, us database, August 2026, with results pages pulled on 8 August 2026. Client observations come from our own visibility panels and are reported without naming clients. Public sources are linked where used.
