All four terms explained

As AI search has grown, the marketing industry has produced several competing labels for the same discipline. Here is exactly what each one means.

GEO
Generative Engine Optimisation
Describes optimising for AI systems that generate answers rather than returning links. Identical goal and strategy to AEO. Widely used in academic and technical circles but easily confused with geographic targeting in traditional marketing.
Interchangeable with AEO
AIO
AI Optimisation
A broader term that can mean optimising for AI discovery, optimising with AI tools, or optimising AI systems themselves. In the context of brand visibility and search, it means the same thing as AEO — but the ambiguity makes it a weaker term for strategic communication.
Too broad
LLMO
Large Language Model Optimisation
The most technically precise term — optimising your brand's content and data specifically for large language models like GPT-4 and Claude. Same discipline as AEO, framed from a technical rather than marketing perspective. Not widely used outside technical audiences.
Technical audiences only

Why AEO is the right term

When a discipline is new and the terminology is unsettled, the term that wins is the one that is most specific, most ownable, and least likely to be confused with something else.

AEO wins on all three counts.

GEO is specific but regularly confused with geographic targeting — a completely different marketing discipline. If you tell a client you are working on GEO strategy, there is a reasonable chance they think you mean local search or location-based advertising.

AIO is too broad. AI Optimisation could describe a dozen different activities. It does not clearly communicate what the discipline actually involves.

LLMO is precise but inaccessible. It is a term for engineers, not for brand owners and marketing teams trying to understand a new capability.

AEO — Answer Engine Optimisation — is clear. It names the thing being optimised for (answer engines), uses familiar framing (the SEO parallel is immediately understood), and is unambiguous about what the discipline involves.

Bottom line

The strategy is identical regardless of the label you use. Use AEO when talking to clients, leadership, and the market. You will be understood immediately and you will not spend time unpacking ambiguity.

Same strategy regardless of the term

The most important thing to understand about this terminology debate is that it is entirely superficial. Whether someone calls it AEO, GEO, AIO, or LLMO, they are describing the same set of activities.

The underlying strategy involves four core elements regardless of the label applied. Making your brand identity machine-readable through structured data and schema markup. Building content that directly and citably answers the questions your customers ask AI. Establishing topical authority through a structured library of answer-first content. And ensuring your brand entity is described consistently across every digital touchpoint so AI engines can identify and confidently recommend you.

You may encounter clients, prospects, or colleagues using any of these terms. All four are valid descriptions of the same discipline. What matters is not the label but whether the work is being done. In most categories, it is not — and that is the opportunity.

Frequently asked questions

AEO and GEO describe the same discipline. AEO stands for Answer Engine Optimisation. GEO stands for Generative Engine Optimisation. Both refer to optimising your brand to appear in AI-generated answers. AEO is preferred because GEO is frequently confused with geographic targeting.

In the context of search and brand visibility, AIO stands for AI Optimisation and refers to the same discipline as AEO — structuring your brand to be recommended by AI tools. The term is less preferred because it is too broad and can refer to several unrelated activities.

Use AEO. It is the most specific, most ownable, and least ambiguous term for the discipline. It draws an immediate parallel with SEO, which most audiences already understand, and it clearly names the thing being optimised for — answer engines.

LLMO stands for Large Language Model Optimisation. Same discipline as AEO, framed from a more technical perspective. Use this term when speaking to technical audiences. Use AEO everywhere else.