AEO vs GEO vs SEO: What's Actually Different, and What Isn't

Three acronyms are now competing for the same budget line: SEO, AEO and GEO. Agencies sell them as separate services, tools market themselves as one or the other, and plenty of people reasonably assume they are three different disciplines.

They mostly aren't. They are three names for optimising toward three different kinds of answer surface, and most of the work underneath is shared. The differences that do exist are real, though, and they change what you measure and what you write.

This guide covers what each term actually means, where they overlap, where they genuinely diverge, and how to split your time between them.

The short version

SEO (search engine optimisation) is about ranking a page in a list of results and getting the click.
AEO (answer engine optimisation) is about being the answer that gets pulled out and shown directly: featured snippets, People Also Ask boxes, voice assistants, and now AI Overviews.
GEO (generative engine optimisation) is about being mentioned, recommended or cited when a large language model writes an answer from scratch, in ChatGPT, Gemini, Claude, Perplexity or Google's AI Mode.

	SEO	AEO	GEO
Surface	Ranked list of links	Extracted answer box	Generated paragraph
What "winning" looks like	Position and clicks	Your text shown as the answer	Your brand named or cited
Unit you optimise	A page	A passage	Your brand's reputation across the web
Main signal	Relevance + links	Clear, direct answers	Consistent mentions in sources the model trusts
How you measure it	Rank tracking, Search Console	Snippet / PAA ownership	Prompt tracking across AI engines

AEO vs SEO

AEO grew out of SEO and still lives inside it. Featured snippets and People Also Ask answers come from pages that already rank, usually on page one. You do not win an answer box from position 40.

What changes is the unit of competition. SEO competes page against page. AEO competes passage against passage. Google typically lifts a short chunk, often around 40 to 60 words, that answers the question cleanly, and the page that wraps it can be long or short.

In practice that means:

Answer first, explain second. Put a direct, self-contained answer immediately under the heading that asks the question. Then add the nuance.
Use the question as the heading. "How long does a site audit take?" beats "Audit timelines" because it matches the query and tells the extractor exactly where the answer is.
Format for extraction. Steps as numbered lists, comparisons as tables, definitions as one tight sentence.
Don't optimise away the click entirely. An answer box that fully satisfies the query can reduce clicks. For commercial queries that's often fine, because you still own the brand impression. For pure traffic plays, leave a reason to read on.

If you are already doing SEO well, AEO is mostly an editing discipline applied to pages you already have.

AEO vs GEO

This is where people get confused, because both involve "AI answers".

The difference is where the answer comes from.

AEO targets extractive systems. Google picks an existing passage from an existing page and shows it. Your page is the answer, more or less verbatim, with a link. AI Overviews sit on the boundary: they are generated, but heavily grounded in pages that already rank, so classic AEO habits carry a long way there.

GEO targets generative systems. A model like ChatGPT writes a new answer, drawing on its training data and, increasingly, on live web retrieval. It might name your brand, cite your page, recommend a competitor, or ignore the category entirely. There is no single "position one" to win. The same prompt asked twice can produce two different answers.

That changes what moves the needle:

Mentions matter more than rankings. A model decides who to recommend partly from how often, and in what context, a brand shows up across the sources it reads: reviews, comparison articles, Reddit threads, documentation, industry lists. Your own site is one input among many.
Clarity about what you are matters a lot. If the web describes you inconsistently, models will too. A one-line description of what you do, repeated consistently on your own pages and third-party profiles, does more than people expect.
Citations follow retrieval. When an engine searches the web before answering, the pages it cites still need to be crawlable, fast and clearly structured, which brings you back to SEO and AEO fundamentals.
Measurement is statistical. You don't check a rank. You run a set of prompts repeatedly across engines and track how often you're mentioned, in what position, with what sentiment, and against which competitors. (Our guide to AI visibility tools covers what to look for in software that does this.)

What is actually shared

Before splitting the budget three ways, it's worth seeing how much is common ground:

Crawlability and indexation. If search engines can't crawl and index a page, it won't rank, won't be extracted, and won't be retrieved by AI engines that use search indexes. A technical audit is the foundation for all three.
Content that answers real questions. All three reward pages that answer a specific question better than the alternatives.
Authority. Links drive SEO. Mentions and citations drive GEO. They come from the same place: being the source other people reference.
Entity clarity. Consistent naming, a clear description of the product, and structured data help search engines and language models agree on what you are.

If you only had time for one thing, it would be this shared layer. For more on the GEO-specific tactics that sit on top of it, see generative engine optimisation for AI visibility. Most "GEO strategies" that work are good SEO with a different scoreboard.

Where they genuinely diverge

There are a few places where the disciplines pull in different directions:

Third-party presence. SEO lets you win mostly on your own domain. GEO rewards being talked about elsewhere: listicles, reviews, community threads, partner docs. A brand with a strong site and no off-site footprint can rank fine in Google and still be invisible in ChatGPT.
Comparison content. Honest "X vs Y" and "best tools for Z" pages are disproportionately useful for GEO, because models lean on them when asked to recommend. Pages that are obviously one-sided are less likely to be trusted or cited.
Measurement cadence. Rankings move weekly. AI answers can shift with every model update and vary run to run. You need more samples and longer windows before calling something a trend.
Attribution. SEO traffic shows up in analytics with a referrer. Much GEO value arrives as branded searches or direct visits after someone saw your name in an AI answer, which is harder to attribute.

How to split your effort

A practical order of operations for most B2B and SaaS sites:

Fix the shared foundation. Run a site audit, make sure the pages you care about are indexable and internally linked, and fix anything blocking crawlers. This pays off on all three surfaces at once.
Keep doing SEO on commercial queries. Ranked results still carry most of the click-through for buying-intent searches.
Edit your best pages for AEO. Add direct answers under question-style headings, tighten definitions, convert walls of text into lists and tables where it helps.
Start measuring GEO before you invest heavily in it. Pick 20 to 50 prompts your buyers would actually ask an AI ("best tool for X", "X vs Y", "how do I do Z"), and track mention rate and competitor share across ChatGPT, Gemini and Claude. You can't improve what you haven't baselined.
Close the gaps the measurement shows. If competitors get mentioned and you don't, look at which sources the engines cite for them. That list is your outreach and content plan.

Measuring all three in one place

The split between disciplines is mostly a split between scoreboards. In Opinly, rank tracking, site audits and AI-answer visibility sit in the same workspace, so you can see whether a page that climbs in Google also starts getting cited in ChatGPT, and which competitors are taking the AI mentions you're missing. If you'd rather work from an assistant, the same data is available through the Opinly MCP in Claude or ChatGPT (see how to connect your SEO data to Claude).

Frequently asked questions

Is AEO the same as GEO? No. AEO is about having your existing content extracted as a direct answer, mainly in Google's featured snippets and similar features. GEO is about being mentioned or cited when an AI model generates a new answer. They overlap in AI Overviews, which are generated but closely tied to ranking pages.

Is AEO replacing SEO? No. Answer features are drawn from pages that already rank, so AEO depends on SEO. It changes how you format and structure content, not whether you need to rank.

Is SEO dead because of AI search? No. AI engines that browse the web lean on search indexes to find sources, and Google's own AI features are grounded in its index. Strong organic visibility makes it more likely you are retrieved and cited, not less.

Do I need separate tools for AEO and GEO? You need a way to track rankings and a way to track AI answers. They don't have to be separate products, but traditional rank trackers don't show you what ChatGPT says about you.

What should I do first? Make sure your important pages are crawlable and indexed, then baseline how often AI engines mention you for the prompts your buyers ask. Everything else follows from those two numbers.