An embedding is a numerical representation of meaning in a high-dimensional vector space, where the distance between vectors reflects the semantic similarity of the underlying text, entity, or object. In AI Search Optimization, embeddings determine proximity, retrieval, and alignment within large language models, making them the core mechanism by which content is recalled and cited.