Answer
What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of optimizing content so generative AI systems — like ChatGPT, Gemini, and Perplexity — reference and cite it when generating answers. It is closely related to answer engine optimization (AEO), with a specific focus on large language model outputs.
How GEO works
GEO focuses on making content easy for language models to understand, trust, and reuse: authoritative and factual writing, clear structure, entity clarity, consistent information across the web, and content that directly answers the questions users pose to AI.
GEO, AEO, and SEO
SEO earns rankings in traditional search. AEO earns citations in answer engines. GEO is the slice of AEO aimed at generative models specifically. In practice the same fundamentals — clarity, authority, structure — power all three, which is why they are best pursued together.
01Frequently asked
- Is GEO different from AEO?
- Only slightly. GEO targets generative AI systems specifically, while AEO covers answer engines broadly. The optimization fundamentals are largely the same.
- Does GEO replace SEO?
- No. GEO builds on SEO fundamentals. Strong, well-structured, authoritative content helps you both rank in search and get cited by AI.
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