Vector Embeddings

In plain words

Vector embeddings are numerical representations of words, sentences, or documents that capture their meaning in a way AI models can compare mathematically. Embeddings are what let AI search systems match a user's query to the most semantically relevant content, even when the exact wording differs.

Example

An AI search tool matches the question “how do I get cited by ChatGPT?” to a page about AEO because their embeddings are close in meaning.

Glossary
Large Language Model
An LLM is the type of AI model, like GPT or Gemini, that powers modern AI search and chat answers.
See term
Glossary
Retrieval-Augmented Generation
RAG is the technique AI systems use to pull in outside sources before generating an answer.
See term
Insight
How to Write Copy AI Answer Engines Can Quote
A practical guide to writing website copy that ChatGPT, Perplexity and Google AI Overviews can extract, attribute to your brand and cite.
Read insight
Glossary
Natural Language Processing
NLP is the branch of AI that lets computers understand, interpret, and generate human language.
See term

Next step

Let's talk

Engraving of a jungle panorama with mountains — Inspired by Tulum, QROO, MX

Large Language Model

Retrieval-Augmented Generation

How to Write Copy AI Answer Engines Can Quote

Natural Language Processing

Let's talk