From SEO to GEO: Your Guide to Getting Cited by AI

Hybrid Retrieval (BM25 + Vector): Why GEO Content Needs Both Keywords and Semantic Coverage

Hybrid retrieval is the approach most RAG systems use: running traditional BM25 keyword matching and vector semantic retrieval simultaneously, then me…
RAG Evaluation: Relevance, Sufficiency, Faithfulness, and Source Quality

Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selec…
Grounding and Citation: Source-Use Processes and Their Uncertainty

Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selec…
Why Keyword Stuffing Fails: A Modern Retrieval Perspective

Keyword stuffing isn't just ineffective in vector retrieval — it's actively harmful: repeating the same word only over-concentrates your content vecto…
Vector and Lexical Retrieval: How Semantics and Exact Terms Complement Each Other

Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selec…

GEO Basics

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