AEO, GEO and LLMO: What is the Difference?
Direct answer
AEO optimizes for direct answers in AI search results. GEO ensures AI systems cite and recommend your business. LLMO optimizes for recognition by large language models like GPT, Claude and Gemini.
Answer Engine Optimization (AEO)
AEO focuses on featured snippets, People Also Ask and AI Overviews. The goal: your content appears as a direct, citable answer to questions. This requires clear Q&A structure, short paragraphs and explicit answer formats that AI can use directly.
Generative Engine Optimization (GEO)
GEO goes beyond AEO. Where AEO focuses on answers, GEO ensures generative AI systems include your brand in their generated content. This requires entity SEO, knowledge graph alignment and semantic content clusters that position your business as an authority.
Large Language Model Optimization (LLMO)
LLMO optimizes for recognition by LLMs through two pathways: training data (how your brand appears in their training data) and real-time retrieval (web searches during conversations). Success is measured in brand citations and mentions in AI answers.
Comparison: Traditional SEO vs AI-Optimization
Traditional SEO focuses on search result rankings. AI-optimization focuses on citations, mentions and integration into AI-generated answers. Where SEO makes you visible in a list, AEO/GEO/LLMO make your content part of the answer itself.
Key Takeaways
- 1AEO = direct answers in AI search results
- 2GEO = brand citations and recommendations by AI
- 3LLMO = recognition by GPT, Claude, Gemini
- 4AI-optimization focuses on citations, not rankings
Related Questions
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