← Glossary
GEO / AI SearchFoundational1 source module
RAG
Retrieval-Augmented Generation. The mechanism by which AI engines retrieve relevant chunks and synthesise answers. Explains why chunkability matters.
FoundationalModule 4: Fill Your SEO Gaps
RAG: Core Facts
- Section
- Foundational
- Domain
- Generative Engine Optimization, AI Search
- Academy
- Rankscale AI Search Academy
- Definition
- Retrieval-Augmented Generation. The mechanism by which AI engines retrieve relevant chunks and synthesise answers. Explains why chunkability matters.
- Source modules
- Module 4: Fill Your SEO Gaps
- Last updated
- 2026-04-27
RAG: Frequently Asked Questions
What is RAG?
Retrieval-Augmented Generation. The mechanism by which AI engines retrieve relevant chunks and synthesise answers. Explains why chunkability matters.
Which modules cover RAG?
RAG is covered in Module 4: Fill Your SEO Gaps of the Rankscale AI Search Academy.
Is RAG a foundational concept?
Yes. RAG is a foundational GEO concept — understand it before diagnosing visibility gaps. Introduced in Modules 1–3 or as a structural concept from Modules 4–5.
The full Glossary has 90 terms — Foundational and Advanced. RAG is covered in depth in Module 4: Fill Your SEO Gaps. Start improving your AI visibility at rankscale.ai.