GEO vs AEO vs LLMO vs AI visibility: what's the difference?
These four terms are often used as synonyms, which makes the space confusing. They're related but not the same. Here's the plain-English breakdown of what each means, how they fit together, and which one you should actually focus on.
What's the difference between GEO, AEO, LLMO and AI visibility?
GEO, AEO and LLMO are three disciplines for getting featured by AI, each at a different level: GEO works at the content level, AEO at the question level, and LLMO at the source level. AI visibility is the metric all three aim to move. Three ways to optimize, one way to measure.
Most articles treat these as interchangeable. The clearer way to hold them: pick the level you're working at. Optimizing a piece of content is GEO, targeting the questions buyers ask is AEO, earning citations as a trusted source is LLMO, and the score that tells you it worked is AI visibility.
What is GEO, in one line?
GEO (Generative Engine Optimization) is the umbrella discipline: creating and structuring content so AI assistants feature your brand when they answer questions about your category. It's the broadest of the three terms, and the others are focused slices of it.
What is AEO, in one line?
AEO (Answer Engine Optimization) is the question-level slice: making sure your brand is the answer when buyers ask an assistant a specific question, especially high-intent ones like comparisons and selection criteria.
What is LLMO, in one line?
LLMO (Large Language Model Optimization) is the source-level slice: optimizing your content and authority so a model selects your site as a source it cites, not just a name it mentions.
What is AI visibility, in one line?
AI visibility is the outcome metric: how often and how prominently your brand appears in AI answers, measured by mention rate and citation rate per engine over time. GEO, AEO and LLMO are the work; AI visibility is the scoreboard.
Which one should you focus on?
Focus on the outcome, AI visibility, and use whichever discipline closes your specific gap. If you're missing from buyer questions, that's AEO. If you're named but never cited as a source, that's LLMO. If you simply have too little content in the space, that's GEO. The label matters less than fixing the gap.
- Missing from the questions buyers ask → work at the AEO level.
- Named but not cited as a source → work at the LLMO level.
- Too little content in your category → work at the GEO level.
- In every case, measure with AI visibility (mention rate + citation rate) to know it worked.
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Frequently asked questions
Are GEO, AEO and LLMO actually different, or just marketing terms?
They're real but overlapping. They describe the same goal, being featured by AI, at different levels: content (GEO), questions (AEO) and sources (LLMO). In practice the tactics overlap heavily, so many teams use one term, usually GEO, as the umbrella for all of it.
Which term should I use with my team?
GEO is the most widely understood umbrella term, so it's the safest default. Use AEO and LLMO when you specifically mean the question level or the source level. And measure everything with AI visibility, the one metric that's unambiguous.
Does Citanto cover all four?
Yes. Citanto runs the full cycle, content (GEO), questions (AEO) and source authority (LLMO), and reports AI visibility (mention rate and citation rate) across ChatGPT, Perplexity, Gemini and Claude, so you optimize at every level and measure the result in one place.