In this article 3
Short answer
GEO (Generative Engine Optimization) is about appearing in engines that generate answers. AEO (Answer Engine Optimization) is about being the answer to a question, whether it comes from an assistant or a featured snippet. LLMO (Large Language Model Optimization) is about how a language model understands and represents a brand. The three overlap almost completely. The useful question is not which one wins, but which decision your business needs and which evidence whoever helps you can keep.
Decision table
| Acronym | What it tries to describe | Risk of misusing it | When it matters to you |
|---|---|---|---|
| GEO | Visibility in generative engines (ChatGPT, Gemini, Claude) | Selling basic SEO as new tactics | When your customers ask AI before they buy |
| AEO | Being the direct answer to a question | Promising an answer you do not control | When your category is decided by specific questions (price, requirements, differences) |
| LLMO | How a model understands and describes your brand | Talking as if you could “train” the model | When AI describes you wrongly or confuses you with someone else |
| SEO for AI | A label the market understands | Treating every platform as if it were the same | When you talk to someone who does not know the acronyms |
Why we say GEO
Because it is the acronym people in Spain search for when they want to solve this problem, and because it describes what we do accurately: working so that engines that generate answers find, understand and cite a brand. But in proposals and reports we talk about “AI visibility” or “visibility in AI answers”, which needs no glossary.
What no acronym changes
- No provider controls what a model answers.
- A serious measurement saves the question, platform, date, full answer and sources.
- What depends on you is your website, your entity and your legitimate presence in the sources.
- The rest is vocabulary.