What's the difference between AEO, GEO and SEO?
AEO, GEO, and SEO explained and compared. AEO and GEO are converging names for the same discipline which is optimizing for AI answers, and both build on the SEO work you already do.
AEO and GEO are basically two names for the same job and both are built on the SEO. SEO is about being ranked in Google’s ten blue links, however AEO and GEO get you named, recommended and cited in the answer itself.
On another note, these three aren’t things you need to choose from, they are layers that complete each other.
As good SEO feeds AEO/GEO, in this article we will discuss each term and will show exactly where they vary.
The one-line definition of each
- SEO: Search Engine Optimization. Is your rank in a traditional search engine’s results such as: Google, Bing. The unit of success is position (where your link is in the results page upon searching with certain keyword).
- AEO: Answer Engine Optimization. Is when your content is the source uses to answer the questions. The unit of success is being the answer.
- GEO: Generative Engine Optimization. Is being mentioned in the answers generated by AI engines (ChatGPT, Perplexity, Gemini, Claude). The unit of success is being mentioned or cited in the answer This is the subject of our pillar guide, What Is Generative Engine Optimization. This is the subject of our pillar guide, What Is Generative Engine Optimization.
The comparison table
| SEO | AEO / GEO | |
|---|---|---|
| You optimize for | A ranked list of links | The answer itself |
| Unit of success | Position on the results page | Being named or cited in the response |
| Surface | Google/Bing results page | AI answers, snippets, voice replies |
| Determinism | Same query, roughly the same ranking | Same prompt can produce different answers |
| Query model | Keywords with search-volume data | Conversational prompts, no volume data |
| Click behavior | Users click through to your site | Users often never leave the answer |
| How many win | Ten results share the page | An answer names 3–5 brands, sometimes one |
| Measurement | Rank trackers, Search Console | Presence rate across repeated sampled runs |
So you know there is not tool that can tell you exactly the search volume for a certain prompt asked to ChatGPT for example , With GEO you have to guess what your target audience might ask such as: “X vs Y” comparisons, “alternatives to X” And then you check if your brand shows up in the answers. Finding the right prompts takes real skill, we go deeper on that in how to find the prompts your buyers ask AI.
Note: if you Ask the same engine the same question twice and you can get different brand lists, which means a single result is not enough, the real metric is the rate over many runs not a one-time check, you will find more in why AI answers change every time you ask.
Why AEO and GEO are basically the same thing?
The claim is:
- AEO is when AI copies the exact sentence straight from your page.
- GEO is when the AI writes a brand-new answer using info from many sources. But in reality, every AI engine does both at the same time. It reads pages, quotes and paraphrases them, then writes its own answer around those quotes. This is true for Google’s AI Overviews, ChatGPT, and Perplexity. Note: To make your content easy to quote you need a clear answer at the top, good structure, solid facts, all of that makes it easy to cite.
How SEO feeds GEO?
Most AI engines retrieve from search indexes, so the pages that rank well tend to be the pages that get cited. Your SEO investment isn’t wasted in the AI era on the contrary it’s considered the foundation the AI layer is built on.
The clearest example is Google. use the standard Google Search index there are no additional requirements to appear in AI Overviews, nor other special optimizations necessary In other words: rank in classic Search = you’re eligible for the AI answer. We dig into that in how to show up in how to show up in Google AI Overviews and AI Mode.
To learn how each AI provider handles how its SEO feeds GEO, you can check below articles:
- ChatGPT’s search answers based on an index built by its OAI-SearchBot crawler, more details: how to get your brand mentioned by ChatGPT.
- Perplexity retrieves candidate pages and then ranks them for citation, more details: how Perplexity chooses its citations.
- Claude’s web search tool issues a query, reads the results, and cites what it uses, more details: how Claude picks its web sources.
flowchart LR A["SEO work<br/>crawlable, ranked,<br/>quotable pages"] --> B["Search index /<br/>retrieval"] B --> C["AI engine<br/>synthesizes answer"] C --> D["Brand mentioned"] C --> E["Source cited"]
What does SEO not cover?
- Brand mentions without a link: SEO cannot measure when an AI mentions your brand by name in its answer, but doesn’t actually link to your website, on the other hand GEO tracks both separately (how often you’re mentioned and how often you’re linked).
- Third-party pages are more effective than your own: RReview sites, Reddit threads often shape AI answers more than your homepage does. (See the Reddit effect on AI recommendations.)
- Crawlability for AI bots specifically: A robots.txt rule or WAF setting that blocks GPTBot, ClaudeBot, or PerplexityBot silently removes you from the training, that’s why server-side crawler detection is part of a complete GEO setup.
- A scoreboard that keeps changing: SEO rank trackers assume your ranking stays the same, however GEO doesn’t work that way, you have to ask the same question over and over and look at the pattern, not just one answer. Kitbase AI Visibility does this automatically, across all four AI engines.
Which should you invest in?
Do all three, in this order:
- Keep doing SEO: it’s still the foundation AI tools get information from.
- Add GEO/AEO on top: give clear and direct answers, back them up with stats, get mentioned by other trusted sites, and keep your brand name consistent everywhere.
- Measure the AI side separately: as ranking well on Google doesn’t tell you if ChatGPT actually recommends you.
If you’re still not sure if the AI layer is even worth the effort for your business? We break down both sides of that question in is GEO worth it.
FAQ
Are AEO and GEO the same? Basically, yes. Both are about getting your brand to show up in AI-generated answers. AEO is more about featured snippets and voice search, however GEO came from research on AI generation. As of now AI answers started doing both, the two terms merged into one idea. Today, “GEO” is just the more popular name for it.
Does GEO replace SEO? No, it extends it. AI engines get the answers from search indexes, so pages that rank high tend to get cited. GEO adds concerns SEO never had which are brand mentions without links, non-deterministic answers, and third-party pages mattering more than your own. So in conclusion, Keep your SEO and add a GEO measurement layer on top.
Do I need to hire a separate GEO agency? Probably not. The core work which are crawlable, well-structured, fact-rich pages and third-party coverage, usually overlaps heavily with modern SEO and content marketing. What’s new is measurement: tracking your presence rate in AI answers over time, which needs a dedicated tool not a rank tracker.
What’s the difference between AEO and a featured snippet? A featured snippet is Google pulling one clear answer straight from your page, AEO takes that same idea and applies it everywhere including AI chatbots. Therefore, if you optimized your content for featured snippets, you’re already ahead when it comes to AEO.
How do I measure GEO/AEO if there’s no keyword volume? By sampling. First define the prompts your buyers ask, run them repeatedly across the AI engines, then track the share of answers that mention or cite you, your presence rate. Kitbase AI Visibility does this daily against the engines’ official APIs and adds share-of-voice against competitors.
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