AEO, GEO, AIO: what the AI search jargon actually means

Three acronyms turned up in the last two years and every agency in the country now sells at least one of them. AEO means answer engine optimisation. GEO means generative engine optimisation. AIO means either AI optimisation or AI Overviews, depending on who you ask, which tells you most of what you need to know about it. Underneath the labels sits one job: making sure that when an AI writes the answer, your business is in it. Here's what each term covers, how much of it you are already paying for, and the questions that separate a real offer from a rebadged one.

SEO, the one you already know

Search engine optimisation aims at a list. Google shows ten links, you want to be one of the top few, and you win by earning the click. Everything in classic SEO serves that: keywords people search, pages worth ranking, a site fast enough to keep, links and reviews that prove you exist.

That job has not gone anywhere. Google still sends most of the traffic to most Australian small businesses. But the list is no longer the only thing on the page, and for a growing share of questions it is no longer the thing people read first.

AEO: getting quoted instead of ranked

Answer engine optimisation came out of the SEO industry as a name for a shift people could see happening. Ask ChatGPT for a good sparky in Penrith and you do not get ten links. You get a short answer that names two or three businesses. Nobody scrolls. There is no page two.

So the target moves. You are not trying to be the eighth result any more; you are trying to own the sentence the engine lifts. In practice that means answering a real question plainly near the top of the page, in a paragraph that survives being cut out of its surroundings. Roughly forty to sixty words, no throat-clearing, no build-up. We wrote the mechanics of that in how to show up in AI search.

GEO: the same job, from the research side

Generative engine optimisation arrived from academic work on how generative engines choose what to cite. The 2023 paper GEO: Generative Engine Optimization asked a specific question: given that a model reads a pile of sources and writes one answer, what makes it pick yours? The researchers found that quotable statistics, clear citations of your own sources and plain authoritative phrasing moved visibility, while keyword stuffing did not. Those findings match what good editors have always done.

Underneath it sits a mechanism worth understanding. Modern engines answer by fetching live pages and writing from what they read, an approach called retrieval-augmented generation, rather than reciting what the model memorised in training. That is why a page published this week can be quoted this week, and why being readable matters more than being old.

Treat GEO and AEO as the same discipline with two parents. One came from a lab, one came from the industry. If someone quotes you separately for both, they are charging you twice for one piece of work.

AIO: ask them which one they mean

AIO is the term to be careful with, because it does double duty. Sometimes it means AI optimisation, an umbrella for being visible across every AI tool. Sometimes it means AI Overviews, the answer block Google now puts above its own results. Those are not the same target. Google's overview draws on Google's index and behaves like search; ChatGPT and Perplexity behave differently and read different sources.

When a proposal leads with AIO, ask which meaning is in play and what changes on your site as a result. A straight answer takes ten seconds. A vague one tells you what you needed to know.

How much of this is genuinely new

Most of it is not. Strip the labels and the bulk of AI search work is the same work that has always made a site worth finding:

• A fast, clean site an engine can read without tripping over, with schema.org structured data describing what each page is.
• Crawlers allowed in via robots.txt, rather than blocked by a plugin nobody checked.
• Real answers to the questions your customers actually ask.
• Business details that match everywhere they appear.
• A genuine presence on the review sites, directories and forums people already trust.

One caution on schema, since every AI search pitch leads with it. Structured data earns you rich results and helps engines understand what your business is, both worth having. What it does not appear to do is buy AI citations. Ahrefs tracked 1,885 pages that added JSON-LD against matched controls and found no lift, with AI Overview citations slightly down. Google's own documentation says plainly that no special structured data and no AI text files are required to appear in its AI features. Add schema because it describes your business properly, not because someone promised it unlocks ChatGPT.

Three things do change. The first is format: passages beat pages, so how you write a paragraph now matters more than where it sits. The second is that citations come from places you do not own. Engines quote directories, review sites and forum threads constantly, so your reputation off your own website carries weight it never had in a ten-link list. The third is measurement, and it is the awkward one. Rankings were checkable. Whether ChatGPT mentions you depends on who asked, how they phrased it and what the model did that day.

Telling a real offer from a relabelled one

Ask three questions before signing anything with AI in the name.

1. What will you change on my site? You want specifics. Schema on these pages, robots.txt fixed, these ten questions answered properly. Not "AI-optimised content strategy".
2. What does my visibility look like today? Anyone selling AI search results should record what the engines say about you before they touch anything. No baseline means no way to prove the retainer did something.
3. What is outside your control? An honest supplier will tell you the engines change their sourcing without notice and that nobody can guarantee a citation. If you get a guarantee, walk.

The tell in the other direction is a proprietary score. If a dashboard shows an "AI visibility index" that only that agency calculates, it can go up whenever the agency needs it to.

What to do with all this

Pick the plainest version and get on with it. Let the AI crawlers in. Answer the twenty questions your customers actually ask, one page each, answer first. Keep your business details consistent everywhere. Then go and be present where the engines already look, which is the review sites and directories in your trade. That covers AEO, GEO and whichever meaning of AIO the person in front of you had in mind, and it holds up when the acronyms change again next year.

Where this comes from

Check any of it yourself. These are the primary sources, not somebody's blog summarising them:

• GEO: Generative Engine Optimization, the paper the term came from.
• Google Search Central: AI features and your website, on how Google's AI answers pick and link sources.
• Google: intro to structured data and the schema.org vocabulary itself.
• The llms.txt proposal, so you can judge for yourself how settled that standard is.
• OpenAI crawler documentation and Perplexity crawler documentation.
• Search engine optimisation and schema.org on Wikipedia, for the background.

Frequently asked questions

If you would rather have this done than decoded, that is our job. We build and run small-business sites that are fast, structured and answer-shaped, so Google ranks them and the AI engines quote them, without a separate acronym on the invoice. Tell us what you do and who you do it for and we'll tell you where your first effort pays off.