AEO, GEO, LLMO —
what the three terms mean

Anyone reading DACH marketing feeds in 2026 keeps running into three terms: AEO, GEO and LLMO. They sound technical, but in plain English they are three angles on the same question: how does a brand still show up in a search result in 2026, when so much of the answer is now generated by an AI? Here is a short, honest breakdown.

Quick answer

All three terms revolve around visibility in AI search. They differ only in where they apply: AEO at the AI answer itself (ChatGPT, Perplexity, Google AI Overviews), GEO at the entire search result that contains AI-generated elements, and LLMO at the language model that produces those answers. Three angles on one topic.

Why three terms exist

The thing all three describe is new: search is shifting from a list of links to an answer. Around six in ten Google searches in 2026 already show an AI-generated answer; ChatGPT and Perplexity handle millions of queries a day without Google in the loop at all. Different communities coined different names for the new field — and none of them has fully won out yet.

AEO — Answer Engine Optimization

AEO is the narrowest of the three. The point is the single answer: when someone asks ChatGPT, Perplexity or Google AI Overviews a question — is your brand mentioned in the answer? With a link, without, against which competitors? That is measurable, that is the day-to-day work. AEO is the most operationally tangible of the three terms in 2026. A more detailed primer is in our pillar “What is AEO 2026”.

GEO — Generative Engine Optimization

GEO is the wider umbrella. Where AEO targets a specific AI answer, GEO targets everything in a search result that is generatively produced — AI answers, comparison panels, AI-extended snippets. In practice GEO overlaps strongly with AEO; the difference is the angle: AEO asks “are we cited?”, GEO asks “are we visible at the new search entry points — in whatever form?”.

LLMO — Large Language Model Optimization

LLMO operates one layer deeper. It is not about an answer or about the search result page, but about the AI model itself — what ChatGPT, Claude or Gemini have ever heard about your brand at all. This is more long-term than day-to-day, because models are trained in waves and changes only become visible across years.

Which term matters for your brand?

In the DACH region in 2026, the terms that matter day-to-day for most brands are AEO and GEO. Both work at a level where measures produce visible results within weeks or months — and most actions that pay into one also pay into the other. LLMO is more of a long-term concern, especially for brands that intend to be around in five to ten years.

A pragmatic sequence: first make sure you appear in AI answers at all (AEO). Watch how visible you are across the new search entry points overall (GEO). Treat LLMO as a background concern that runs along once the first two are working.

What you can check yourself — in ten minutes

Before thinking about a provider, an audit or a strategy, a simple self-test helps. Take the ten questions your customers would actually ask and put them into ChatGPT and Perplexity. Is your brand mentioned in the answer at all? If yes, in what tone, with a link, against which competitors? If not: which brands are mentioned instead? That is the most sober indicator of where you stand today — and it costs you nothing but a coffee.

What to look for in a provider

Anyone who pitches you in this field should be able to distinguish cleanly between the three terms. If they throw everything into one bucket, sell AEO as “the new SEO”, or promise a generic “LLMO strategy” in four weeks, they have not understood the playing field. And anyone who announces an audit and hands you a schema-markup checklist covers a small corner of it at best.

The most honest question you can ask: “Which of these three are you actually working on — and how would we tell in three months that it worked?”. If they can’t answer that clearly, perhaps they shouldn’t get the project.

What comes next

If you want to know where your brand stands in ChatGPT, Perplexity and Google AI today — and which of the three layers is most likely to move the needle in your case — a short audit is the obvious first step. No standard package, no 40-page report. A focused look at what works for you today, what does not, and what makes sense to change in which order.

Sources and background

• Google Search Liaison — official communications on AI Overviews, 2025/2026
• Anthropic, OpenAI, Google DeepMind — public posts on AI answer behaviour
• SearchEngineLand, Search Engine Roundtable — AEO/GEO coverage, Q1–Q2 2026
• Own observations from the METROX project — see What is AEO 2026

Note: this article maps the three terms and explains what they stand for. The concrete execution — which levers matter in what order in a given project — is part of the actual consulting work and is deliberately not detailed here. Status: April 2026.