Generative Engine Optimization (GEO) framework redefines AI search visibility

A new technical framework called Generative Engine Optimization (GEO) is proposed to address the evolving landscape of search, driven by generative AI systems. This approach shifts the focus from traditional Search Engine Optimization (SEO) to ensuring information is selected and trusted by AI models. The framework, termed the AI Visibility Framework (AIVI), analyzes RAG architecture, embeddings, and machine readability to redefine digital visibility in an era where AI synthesizes answers directly. AI

IMPACT This framework could guide content creators and developers in optimizing information for AI-driven search, influencing how content is discovered and utilized.

RANK_REASON Academic paper proposing a new framework for AI search optimization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• ChatGPT
• Claude
• Gemini
• generative engine optimization
• Google Ai Overviews
• İbrahim Göktaş
• Istanbul Technical University
• Perplexity
• retrieval-augmented generation
• search engine optimization

• paper
• product

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