If your last SEO proposal came back with more acronyms than usual, you’re not imagining it. GEO, AEO, AIO, AI SEO, AI visibility — over the past year the industry has produced a small pile of new terms for roughly the same shift: getting found by AI, not just by Google.
The trouble is that these labels get used loosely, and sometimes interchangeably, even though they don’t always mean the same thing. Before you can judge whether an agency’s use of one of these terms reflects real expertise or a fashionable line item, it helps to know what each one is actually supposed to mean.
This guide breaks down GEO, AEO and AIO in plain English: what each term covers, where they overlap, and where the differences actually matter.
Why So Many New Terms, So Fast?
AI-generated answers have grown quickly enough to justify the attention. Google’s AI Overviews now appear on a substantial share of searches, and tools like ChatGPT have gone from a novelty to a genuine research habit for hundreds of millions of people. As that shift happened, marketers rushed to name the discipline of optimising for it, and several competing terms emerged before the industry had time to agree on one.
None of GEO, AEO or AIO is a standardised term in the way SEO is. Different agencies use them inconsistently, sometimes to describe genuinely different activities, sometimes as interchangeable rebrands of the same idea. That inconsistency is worth noticing in itself: a discipline with an agreed methodology usually settles on agreed language faster than this one has.
What Is GEO (Generative Engine Optimisation)?
GEO is the broadest and most commonly used of the three terms. It refers to optimising content so that generative AI tools — ChatGPT, Google’s AI Overviews, Perplexity, Gemini — pull it into a generated answer, ideally with your brand cited as the source.
Where traditional SEO aims to get a page ranked so a person clicks through to visit it, GEO aims to get a specific piece of information used inside an answer the AI writes itself, often without a click at all.
GEO work typically involves:
- Structured, extractable content – content that answers a specific question clearly and early, rather than building up to it over several paragraphs.
- Credible sourcing and citations – AI tools are more likely to pull from content that already looks authoritative and well-referenced.
- Entity clarity – structured data and consistent information across the web that makes it obvious who or what your business is.
If you want the deeper dive on judging whether an agency’s GEO claims are backed by evidence, our guide on spotting a genuine AI-visibility claim covers what to ask for.
What Is AEO (Answer Engine Optimisation)?
AEO overlaps heavily with GEO, and the two terms are often used interchangeably. Where there is a distinction, AEO tends to describe the content-structure side of the work: writing and formatting content specifically to be lifted as a direct answer, whether that’s a featured snippet, a voice assistant response, or a line inside an AI-generated summary.
Practically, that means things like:
- Answer-first writing – the direct answer to a question comes in the first sentence or two, not buried in the third paragraph.
- FAQ-style formatting – clear headings that map to the exact questions people actually ask.
- Schema markup – code that makes the structure of the content machine-readable, so AI systems can parse it accurately.
Think of AEO as being about the shape and structure of the content, and GEO as the broader goal of showing up, in whatever form, inside an AI-generated answer.
What Is AIO (AI Overviews Optimisation)?
AIO is the least standardised of the three, and the one most likely to cause confusion. Most commonly, it’s shorthand for optimising specifically for Google’s AI Overviews — the AI-generated summary box that now appears above traditional results on a large share of Google searches.
Some agencies also use AIO more loosely, as a catch-all for “AI optimisation” in general, which can blur into marketing language about AI tools rather than search visibility specifically. If a proposal uses the term AIO, it’s worth asking directly whether they mean Google’s AI Overviews specifically, or something broader and less defined.
Quick Reference: GEO vs AEO vs AIO vs Traditional SEO
| Term | Focus | Where it shows up | What success looks like |
|---|---|---|---|
| SEO | Ranking in organic search results | Google and Bing results pages | Higher rankings, more clicks and traffic |
| GEO | Getting cited inside AI-generated answers | ChatGPT, Perplexity, Gemini, AI Overviews | Your brand mentioned or cited in a generated response |
| AEO | Structuring content to be lifted as a direct answer | Featured snippets, AI answers, voice assistants | Your content pulled as “the answer” to a specific question |
| AIO | Optimising specifically for Google’s AI Overviews | Google AI Overviews | Appearing inside the AI Overview box on Google |
Are These Genuinely New Skills, or Just SEO With a New Name?
Some of both, honestly. A lot of what falls under GEO, AEO or AIO overlaps directly with sound SEO fundamentals that have mattered for years: clear structure, credible sourcing, genuine expertise, and a website that’s technically easy for any system — human or AI — to read.
Most of what’s labelled as GEO or AEO right now is good SEO practice with a new name attached. The genuinely new part isn’t the writing, it’s the measurement — there’s no equivalent of Search Console yet for tracking how often your brand is cited inside an AI answer.
What is genuinely different:
- There’s no standard analytics tool yet for tracking citations across AI platforms the way Search Console tracks rankings.
- A citation inside a generated answer doesn’t produce a click the way a normal search result does, so “success” has to be defined and measured differently.
- Structured data built specifically for AI parsing is a more recent and more technical requirement than most standard on-page SEO work.
What to Ask If GEO, AEO or AIO Shows Up on Your Next Proposal
- Ask for a specific, real example — a brand being cited in an AI answer, with a screenshot or export as evidence.
- Ask how they’ll measure progress, given the lack of a standard reporting tool across AI platforms.
- Ask whether it’s positioned as an addition to solid SEO fundamentals, or a replacement for them.
- Ask for a baseline check of your current AI visibility before any work begins.
For the full breakdown of red flags to watch for, our guide on telling a genuine AI-visibility claim from a buzzword covers this in more depth. And if you’re comparing agencies more broadly, our guide on how to choose an SEO agency covers what good looks like beyond the AI-specific claims.
None of these acronyms need to be intimidating once you know what they’re actually describing. The important thing is asking any agency using them to explain, specifically, what they mean by the term and how they’ll prove it’s working.
These labels matter beyond the private sector too. When we analysed 1.5 million payment records for our report on UK council SEO and digital marketing spending, one prediction stood out: GEO and AI-visibility line items will start reaching public-sector budgets with even less scrutiny than conventional SEO gets today.
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