Category: AI Search & Retrieval
Definition:
Retrieval is the process of finding and selecting relevant information from a collection of documents, websites, databases, or other sources in response to a query.
In AI systems, retrieval can happen before an answer is generated, providing the model with relevant information to use as context.
Why it matters:
Retrieval determines which information an AI system has available when producing an answer.
For AI visibility, this means that being discoverable and relevant within retrieval systems can influence whether your content is considered when an AI-generated response is created.
Example:
A user asks, “What are the best ways to improve AI visibility?”
An AI system may retrieve relevant pages about GEO, AI citations, brand mentions, semantic search, and AI search before generating its response.
Retrieval vs. Generation:
Retrieval finds relevant information.
Generation uses that information, along with the model’s capabilities, to produce an answer.
Related terms:
RAG · Vector Search · Embeddings · Semantic Search · Grounding · LLM · AI Search · Knowledge Retrieval
In simple terms:
Retrieval is the process of finding the information an AI system may use to answer a question.
