LLMO stands for large language model optimization. It overlaps almost completely with GEO (generative engine optimization) and AEO (answer engine optimization). No term has won, and no one can control what a model says. The sensible work is the same under any name: clear, accurate content, consistent facts about your brand, and presence in the places AI systems draw from.
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What the work involves
- Pages that answer a question directly in the first lines
- Accurate, consistent descriptions of what you do across your site and profiles
- Third-party mentions, reviews and listings that confirm the facts
- Letting the crawlers you want reach your content
A caution on promises
AI answers vary by prompt, model and day, so results should be measured over many prompts and repeated. Be wary of anyone guaranteeing citations.
Common mistakes
Treating it as separate from SEO
Pages that cannot be crawled or are thin do not become citable because of a new label.
Frequently Asked Questions
They are used interchangeably. Pick the one your audience searches for and focus on the work.
Keep reading
- Generative Engine Optimization: GEO is the work of making a brand and its pages easy for AI search tools like ChatGPT, Perplexity and Google AI Overviews to find, understand and cite.
- Answer Engine Optimization: AEO is optimizing content so search engines and AI assistants can lift a direct answer from it, in a snippet, a voice reply or an AI-written summary.
- AI Visibility: AI visibility is how often and how accurately your brand shows up in answers from AI tools like ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews.
- AI Citation: An AI citation is a link or source reference that an AI search tool shows beside its answer to point to the page it drew on.
- Agentic Browsing: Agentic browsing is when an AI model operates a web browser for a user, reading pages, clicking, scrolling and filling in forms to complete a task.
- AI Agents: AI agents are systems where a language model plans and takes actions with tools, such as searching, browsing, filling forms or calling APIs, to finish a task.
- AI Answer Sentiment: AI answer sentiment is how positively, neutrally or negatively AI assistants describe your brand, and which strengths and weaknesses they repeat.
- AI Answer Variability: AI answer variability is the way the same prompt can produce different answers, sources and brand mentions across runs, users, places and time.
