A buyer needs help. Five years ago they opened Google, scanned ten blue links, and clicked three. Today a growing share of them open ChatGPT, Claude, or Perplexity and type a real question: "who should I hire to build an AI agent for my business?" They get back one synthesized answer with a handful of named sources. Then they act on it.
That second behavior changes the math. In ten blue links, position seven still earns a click. In a single AI answer, there is no position seven. There is the answer, and there is everything the answer left out. If the assistant does not quote you, you do not rank low. You are simply absent.
This is why the conversation has split into three acronyms that sound like jargon and are not.
SEO, AEO, and GEO, in plain terms
- SEO (search engine optimization) gets you ranked in Google's results. It is the work you already know: relevant pages, earned links, a site that loads fast and crawls clean.
- AEO (answer engine optimization) gets you into the featured answer. That is the boxed snippet at the top of Google, the spoken reply from a voice assistant, the one paragraph that resolves the question before anyone scrolls.
- GEO (generative engine optimization) gets you cited by name when someone asks a generative model who to shortlist. It is the difference between an AI describing your category and an AI recommending you in it.
The labels are new. The thing they describe is not. All three ask the same question at different altitudes: when a buyer is looking, are you the source that answers them clearly enough to be chosen?
SEO gets you found. AEO gets you quoted. GEO gets you recommended.
Why the last two got urgent fast
For two decades, the deal between you and the search engine was simple. You publish, Google indexes, a user clicks through, you get the visit. The engine sent traffic to your door.
AI assistants broke that deal. They read your page, extract the answer, and hand it to the user inside the chat. The user often never visits. So the old goal (get the click) is being quietly replaced by a new one: get the citation. Be the source named under the answer. Be the brand the model reaches for when it decides who is worth mentioning.
If your category is "AI agents for small businesses" or "Shopify performance audits" or "fractional ops for clinics," a buyer is asking an assistant exactly that right now. The only question is whether the answer includes you.
The work that actually earns a citation
Here is the honest part, and it is the whole point: there is no trick. No prompt, no schema hack, no keyword density target makes a model recommend you. AI assistants cite sources that are clear, well structured, and trustworthy. The work is being that source. That is slower than a hack and far more durable, because nobody can copy it overnight.
In practice it looks like this.
Answer the actual question, first
Most pages bury the answer under three paragraphs of throat-clearing. A model reading that page has to guess what you are claiming. Flip it. Lead with the direct answer to a real question a buyer would type, then support it. "What does it cost to build an AI agent?" should be followed by an honest range and what moves it, not by your origin story. Answer-first content is the single highest-leverage change most sites can make.
Give machines clean structure to read
Humans read layout. Machines read markup. Clean, accurate structured data (schema.org, expressed as JSON-LD) tells an engine what a page is: this is an FAQ, this is a service, this is the price, this is the author. It does not inflate you. It removes ambiguity, and ambiguity is what keeps you out of the answer. We bake this into every build rather than bolting it on later, which is part of why our websites are legible to assistants by default.
Write FAQs an AI can lift cleanly
A good FAQ is not filler. It is the exact questions your buyers ask, each followed by a short, self-contained, quotable answer. Self-contained matters: the answer should make sense pulled out of the page and dropped into a chat, because that is precisely what the model does with it.
Be genuinely crawlable and fast
If an engine cannot reach your page quickly and parse it cleanly, none of the above runs. A clean architecture, sensible internal links, and pages that are fast by default are the floor, not the finish. An assistant on a deadline quotes the source it can read, not the one it has to fight.
Actually be the clearest source on your topic
This is the one that cannot be faked. Models gravitate toward the explanation that is specific, current, and obviously written by someone who has done the work. Vague, hedged, me-too content reads as exactly that, to a human editor and to a model alike. If you want to be quoted as the authority, write like one.
It compounds with SEO. It does not replace it.
None of this is a pivot away from search. The same fundamentals serve both engines. Clean, fast, well-structured, genuinely useful content is what ranks in Google and what gets lifted into an AI answer. Strong classic SEO is the foundation AEO and GEO build on. They run as one engine, not three campaigns. That is how we approach SEO and AI search: build the technical base once, then compound search visibility and assistant citations on the same work.
A fair question for a new studio: why trust our take here? Because we run our own AI in production. The agents and automation we deploy, and the way we build, are the same patterns we use to make a site legible to a model. We are describing what we do, not what we read about.
If you want to see where you stand, the fastest start is to tell us about your business: we ask the assistants what your buyers ask them and show you whether you come up. If you already know the gap and want to close it, tell us what you sell and we will map the work from there.