GEO and AEO: Optimizing content for citation by AI search engines

Short summary

The article argues traditional SEO must evolve into Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) as users shift to conversational AI search via ChatGPT, Perplexity, Gemini, and Claude. It covers semantic entity alignment via JSON-LD schema, chunk-friendly content architecture for RAG pipelines, and metrics like brand citation frequency and Bing indexing. The piece is partially a case study for the author's consultancy websem.ro.

• •Traditional SEO is becoming invisible as users query LLM-based search engines for synthesized answers
• •JSON-LD entity schemas (Organization, knowsAbout, sameAs) help AI engines verify and cite your brand
• •Content must be structured in dense, Q&A-style chunks that RAG vector search can retrieve effectively

Generated with AI, which can make mistakes.