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

Re-ranking: How AI Does a Second Round of Filtering After Vector Retrieval

Re-ranking is the second-round evaluation in the RAG pipeline after vector retrieval returns candidate chunks. It makes a deeper assessment of the ove…
AI’s Two Information Channels: Parametric Memory vs RAG Retrieval

AI has two channels for accessing information: parametric memory is knowledge baked into the model during training, and RAG retrieval is real-time loo…
How Chunk Size Affects AI Citations — Chunking Strategy and GEO Writing

Chunk size directly impacts information completeness and retrieval precision: chunks too large produce noisy semantics and imprecise matching; chunks …
What Is Chunking: How AI Splits Your Article into Pieces

A chunk is an independent information unit that RAG systems create by splitting web page content. AI doesn't retrieve or cite entire articles — it ope…
What Is RAG: How AI Searches for Information Before Answering Your Question

RAG (Retrieval-Augmented Generation) is a technical architecture that lets AI retrieve relevant content from external sources before generating an ans…

GEO Basics