Embedding

A numeric representation of text that lets a model compare meaning and find related content.

An embedding turns a piece of text into a vector, a list of numbers, so that similar meanings sit close together. Engines use embeddings to retrieve the documents most relevant to a query.

You do not optimize embeddings directly. You optimize the content behind them: clear, focused, well-organized text that captures a topic cleanly.

See it in your own data

Recall measures how AI answer engines mention and cite your brand, and keeps the answer behind every number, so you can see what produced it.