Insights / Visibility & Authority
AEO, GEO and SEO: what changes when search writes the answer?
A plain-language guide to the acronyms, what they share, where they differ, and what nobody can promise you.
New acronyms arrive faster than new ideas.
SEO was the one everybody knew. Then AEO showed up. Now GEO.
Something did change, and it’s worth understanding in plain terms, because it changes how buyers check you out before they ever call.
Say you run a 12-person accounting firm. A business owner asks an AI tool which firms in the region handle corporate tax for small manufacturers. The tool writes a short answer, names three firms, says what each is known for, and links to a few sources. Nobody saw a list of ten results. If you weren’t named, you weren’t considered.
And if you were named, the owner still clicks through to check. A vague website at that moment undoes the recommendation.
The real question isn’t which acronym to buy. It’s whether customers can find you, verify you and consider you when the answer is written for them.
The terms, in plain language
SEO, search engine optimization, is the work of helping search engines find, understand and rank your pages. It covers how your site is built, what it says, and whether credible sources point to it. The goal is to show up when someone searches, and to deserve the click.
AEO, answer engine optimization, is the work of making your content easy to use as an answer: real questions, direct responses, facts that are easy to lift and attribute. It grew up around featured snippets and voice assistants and now gets applied to AI tools.
GEO, generative engine optimization, is the newest label. It refers to tools that write a response, such as ChatGPT, Perplexity, Gemini, Claude and Google’s AI Overviews, and the work of being represented accurately in what they write.
AEO and GEO overlap so heavily that people use them for almost the same thing. Don’t let the label set the budget.
Paid search is a separate decision. You pay to appear in search results, and it’s useful when you need visibility quickly or for specific searches. It doesn’t make anyone trust you, and it doesn’t change what an AI tool says about you. If that’s the question you’re weighing, start with how we approach paid media.
Two ways an AI knows about you
This matters more than the acronyms.
Training knowledge is what a model absorbed from the text it learned from. It’s broad, it’s dated, and you can’t edit it. If your firm changed its name last year, the model may not know. If little has been written about you, it may know almost nothing.
Retrieval is when the tool searches the web at the moment of the question, reads a handful of pages, and writes an answer from them, often with links. Perplexity works this way. ChatGPT does when it searches. Google’s AI features draw on Google’s own index.
That difference decides what you can influence. You can’t rewrite what a model learned. You can make sure that when a tool goes looking, it can reach your site, understand it, and find other credible sources saying the same thing.
It also explains the crawler question. OpenAI, for example, runs separate crawlers: GPTBot for training, OAI-SearchBot for ChatGPT search. Blocking one isn’t blocking the other. Your hosting or CDN can block crawlers too, without anyone deciding to. Other providers have their own rules, so check each one.
You can’t edit what a model remembers. You can shape what it finds when it looks.
What’s shared, and what differs
| Search results (SEO) | Generated answers (AEO / GEO) | |
|---|---|---|
| What the buyer sees | A list of pages to choose from | A written answer naming a few businesses or sources |
| Where it comes from | The search engine’s index | Training knowledge, live retrieval, or both |
| Core work | Crawlable site, clear content, credible links and mentions | The same, plus clear answers and a consistent story across sources |
| How stable it is | Rankings shift, but can be tracked | Answers vary by platform, wording and run |
| How you check it | Rankings, impressions, clicks | Repeated, dated tests across tools |
Most of the work is shared. A site search engines can crawl. Pages that say plainly what you do, for whom and where. Business details that match across your website, profiles and directories. Proof other people can verify: reviews, mentions, credentials.
Google says no special schema or new markup is required to appear in its AI features. Valid structured data still helps machines read your pages accurately, which is a different job. Here’s what structured data can and can’t do.
What differs most is measurement. A ranking report gives you a number. AI answers change between platforms, between phrasings and between runs of the same question. Different tools surface different businesses. So you test more than once and look for patterns, not a single result.
What nobody can promise
Plenty of AEO advice comes with precise numbers: what share of citations come from the top of a page, how many statistics per paragraph, how many days before a page goes stale. Some of it may come from real research. Very little is published with enough detail to tell you whether it applies to your market, your platform or your kind of question. A pattern found in someone’s sample isn’t a rule the engine follows.
Nobody can promise you’ll be named. Nobody can promise you’ll stay named, or that every platform will treat you the same way, or that last quarter’s tactic still works. Anyone who does is selling certainty.
What you can do is make the evidence about you clear, consistent and easy to find.
Where to start
Check what AI says now.
Ask the questions your buyers ask, on more than one tool, more than once. Here’s a 30-minute way to do it.
Make sure the right crawlers can reach you.
Look at your robots.txt and your hosting or CDN settings. Decide on purpose which crawlers you allow, training and search treated separately.
Say what you do, plainly and early.
Lead with the answer because readers want it, not because of a formula. Name the service, the client type and the area.
Tell the same story everywhere.
Your website, business profiles, directories and team bios should agree on who you are and what you do.
Build proof others can verify.
Reviews, industry mentions, credentials and case evidence carry more weight than claims on your own site.
That’s the work behind AI visibility. It looks a lot like good SEO, because most of it is.
SEO, AEO, GEO.
Different labels.
Same question: can buyers find you, and believe what they find?