AEO, GEO, and LLMO Explained
Three disciplines. One goal: be the answer AI gives.
Answer Engine Optimization targets the specific formats that make content extractable as direct answers. When someone asks ChatGPT or a voice assistant a question, the system looks for content that states the answer clearly, attributes it to a credible source, and presents it in a format that can be lifted and presented without additional context. AEO shapes your content to match that pattern.
Generative Engine Optimization focuses specifically on Google AI Overviews and the generative interfaces that are replacing traditional search results pages. GEO involves content structure, entity coverage, and authority signals that make your pages the preferred source when Google generates an AI-written summary for a query in your category.
Large Language Model Optimization addresses how ChatGPT, Claude, Gemini, and other conversational AI systems learn about and represent your brand. LLMs build their knowledge from publicly indexed sources. LLMO is the practice of ensuring those sources portray your brand accurately, consistently, and in the contexts where your buyers are asking questions.
Answer Engine Optimization (AEO)
Structure content for direct answer extraction by AI systems and voice search. Clear question and answer formats, concise factual statements, and attributable claims.
Generative Engine Optimization (GEO)
Optimise for Google AI Overviews and generative search interfaces. Page structure, entity coverage, and authority signals that make your content the preferred AI source.
Large Language Model Optimization (LLMO)
Build brand entity recognition across the authoritative sources that train and update large language models. Control how ChatGPT, Gemini, and others describe your business.
AI Overview visibility
Track and improve your appearance in Google AI-generated answer panels for queries relevant to your business and industry.