SEO aims to rank a page in search results. GEO (generative engine optimization) aims to have a brand cited in answers that AI systems write. AEO (answer engine optimization) aims to be chosen as the direct answer to a question. The three share most of their foundations; they differ in what they try to win and how you measure it.
The terms get used interchangeably in marketing copy, and even Wikipedia notes that no consensus definition separates them[7]. That makes the comparison worth doing carefully: some of what gets sold as GEO is simply SEO with a new name, and some of it is genuinely different. This guide separates the two, with the one piece of controlled research most GEO advice is built on, and what Google itself says.
SEO, GEO and AEO defined
You will also meet LLMO (large language model optimization), AIO (AI optimization, easily confused with Google’s AI Overviews) and AI SEO. All of them describe the same broad goal as GEO. Our AI SEO guide covers the umbrella term, including using AI tools to do SEO work.
Where the terms came from
The order in which the terms appeared explains most of the difference between them. AEO grew out of voice search and featured snippets, when an engine picked one existing passage. GEO came from AI systems that write new answers from several sources.
GEO vs SEO vs AEO, side by side
Toggle the columns to compare any two directly.
| SEO | GEO | AEO | |
|---|---|---|---|
| What you win | A position in a list of links | A mention and citation inside an AI answer | Being the answer itself |
| Where it shows | Search results pages | ChatGPT, AI Overviews, AI Mode, Gemini, Claude, Perplexity | Featured snippets, voice, and AI answers |
| Winners per answer | Ten blue links, one at the top | Several sources cited together | Usually one |
| How stable | Fairly stable week to week | Sources often change weekly | Moderately stable |
| Needs crawlable, indexed pages | ✓Yes | ✓Yes | ✓Yes |
| Rewards clear structure | ✓Yes | ✓Yes | ✓Yes |
| Rewards third-party mentions | ~ | ✓Yes | ~ |
| Has a fixed rank to track | ✓Yes | ✕No | ~ |
| First-party reporting | Search Console clicks and positions | AI impressions only (Google) | Mixed into search reports |
GEO vs SEO
The difference between SEO and GEO is the prize. SEO competes for a position among ranked links and is judged by clicks. GEO competes to be one of several sources an AI answer cites, and to be named in the answer itself, often with no click at all. GEO depends on SEO, because AI engines retrieve from search indexes before they write.
AEO vs SEO
AEO vs SEO is a difference of shape. SEO optimises a whole page to rank. AEO optimises passages inside it so an engine can take one as the answer: a question as a heading, a direct answer in the first sentence, supporting detail after. The same page can do both.
GEO vs AEO
GEO vs AEO is mostly a difference of era. AEO was coined when engines picked one existing passage; GEO when AI started writing new answers from several sources. Today the work is almost identical, and most practitioners treat AEO as the structural half of GEO.
What stays the same
The overlap is larger than most GEO marketing admits. AI engines retrieve pages from a search index before they write, so everything that gets a page into an index and makes it the best result still applies. Google puts it directly: its generative AI features “are rooted in our core Search ranking and quality systems”[4].
What the GEO research actually shows
Most GEO advice traces back to one study: “GEO: Generative Engine Optimization”, by researchers at Princeton and IIT Delhi, published at KDD 2024[1]. It built a benchmark of 10,000 queries, fed the top five Google results for each into a language model to simulate a generative engine, then rewrote the source pages with nine different tactics and measured how visible each source became in the answer.
| Quotation addition | 27.8 |
|---|---|
| Statistics addition | 25.9 |
| Fluency optimization | 25.1 |
| Cite sources | 24.9 |
| Technical terms | 23.1 |
| Easy to understand | 22.2 |
| Authoritative tone | 21.8 |
| Unique words | 20.7 |
| No optimisation (baseline) | 19.5 |
| Keyword stuffing | 17.8 |
The headline result is that the best tactics, quotation addition, statistics addition and citing sources, improved visibility by roughly 30–40% on this measure and 15–30% on the paper’s second, impression-based measure. Keyword stuffing, the reflex of old SEO, offered “little to no improvement”[1]. The study also found that the pages starting lowest gained the most:
Where Google stands on GEO and AEO
Google addressed the terms directly in July 2026: “While terms like Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) are common online, many suggested ‘hacks’ aren’t effective or supported by how Google Search actually works.” Its advice is to “prioritize effective SEO strategies over ‘AEO/GEO hacks’”[4]. For appearing as a supporting link in AI Overviews or AI Mode, Google says there are “no additional requirements” beyond being indexed and eligible for a snippet[5].
That is Google’s view of Google. ChatGPT, Claude and Perplexity use their own crawlers and indexes, and every AI engine leans on third-party sources, so GEO work beyond Google, especially earning mentions in the sources those engines cite, is not covered by Google’s guidance either way. The sceptical case on one popular tactic is in Does llms.txt actually do anything?
The real difference: measurement
If the tactics overlap so much, where is the real difference? In what you can see. An SEO result has a position you can check, and it moves slowly. An AI answer is regenerated each time and its sources move fast:
- SISTRIX tracked 82,619 prompts for 17 weeks and found Google AI Mode replaced 56% of its cited domains each week, and ChatGPT Search 74%[8].
- SparkToro and Gumshoe found there was less than a 1 in 100 chance that ChatGPT or Google’s AI would give the same list of brands twice for the same prompt[9].
- Google’s Search Console now reports AI impressions, but combines AI Overviews with AI Mode and shows no clicks[10].
So GEO needs a different kind of measurement: the share of your questions in which each engine names you, repeated over weeks, and whether you hold that place or rotate through it. That is what AI visibility tracking and Core vs Carousel are built for.
GEO or SEO: which to prioritise
Because the foundations are shared, the question is really about sequence. Answer these five questions for a starting point based on your situation.
A combined SEO, GEO and AEO plan
For the details of each discipline, read the generative engine optimization guide, the answer engine optimization guide and the engine-specific guides to Google AI Mode and ChatGPT SEO.
Questions people ask
What is the difference between GEO and SEO?
SEO (search engine optimization) aims to rank a page in a list of search results. GEO (generative engine optimization) aims to have a brand or page cited and described in answers that AI systems write, such as ChatGPT, Google AI Overviews and Perplexity. They share most foundations, but GEO wins a mention inside an answer rather than a position in a list, and its results change far more from week to week.
What is the difference between AEO and SEO?
AEO (answer engine optimization) aims to have your content chosen as the direct answer to a question, originally in featured snippets and voice assistants, and now in AI answers. SEO aims for a ranking in results. AEO focuses on structure: clear questions, direct answers near the top, and content a machine can lift as a passage.
What is the difference between GEO and AEO?
In practice they overlap almost completely today. AEO is the older term, from the era when an engine picked one existing passage as the answer. GEO comes from a 2023 research paper about AI systems that write a new answer from several sources. There is no consensus definition separating them, and many people use them interchangeably.
Is GEO the new SEO? Is it replacing SEO?
No. Google says SEO is still relevant for generative AI search because its AI features are rooted in its core ranking and quality systems, and AI engines retrieve from search indexes before they write. A page that is not crawlable and indexable cannot be cited. GEO adds work on top of SEO; it does not replace it.
Does keyword stuffing work for GEO?
No. In the GEO paper, keyword stuffing gave little to no improvement: it scored below the unoptimised baseline on the main word-count metric and only marginally above it on the second metric. Adding quotations, statistics and cited sources did far better.
What does SEO vs AIO mean?
AIO usually means AI optimization, another name for optimising content for AI answers, similar to GEO. It is confusing because AIO is also the common abbreviation for Google's AI Overviews. Check which one is meant before comparing.
What is LLMO vs SEO?
LLMO (large language model optimization) is another term for making a brand visible in answers from large language models. It emerged in practitioner usage around 2023 and 2024, with no identifiable coiner, and overlaps with GEO and AEO. The comparison with SEO is the same as for GEO.
Should I hire a GEO agency or an SEO agency?
Look for one that does both, because the foundations are shared and AI visibility depends on search visibility. Ask how they measure AI visibility over time, which engines they check, and whether they can show changes in mentions rather than one-off screenshots.
How long does GEO take to show results?
Nobody can give a reliable timeline. AI answers change their sources weekly, so a single appearance can happen quickly and vanish just as fast. What takes longer is a durable place in the answer for the questions that matter, which depends on the same slow work as SEO: authority, coverage and presence in the sources AI engines cite.
Can I measure GEO in Google Search Console?
Partly. Search Console's Generative AI report shows impressions in AI Overviews and AI Mode combined, but no clicks or queries, and clicks from AI answers are counted with ordinary organic ones. It cannot show whether you are mentioned in the answer text, or anything about ChatGPT, Claude or Perplexity. That needs a dedicated AI visibility tracker.
Sources
The GEO paper is peer-reviewed research; the 2026 survey is a preprint. Google’s documentation is a primary source. SISTRIX and SparkToro are independent studies with their own methods.