The language of AI discovery.

AI search

The environment

Discovery experiences where an AI system selects, retrieves, synthesises, compares, or recommends information in response to a person's request.

AI discovery

The wider journey

The process by which people or autonomous agents encounter, evaluate, and choose entities through AI-mediated systems—including search, recommendations, commerce, local, and agent workflows.

AI visibility

The observable outcome

Whether, where, how often, and in what context an entity appears, is cited, described, compared, or recommended in a defined set of AI observations.

AEO

Answer engine optimisation

York Studio's primary practice term

Work intended to improve how brands and information are found, understood, cited, and recommended across AI-generated answers.

GEO

Generative engine optimisation

An alternative practice label

A widely used alternative name for work intended to improve representation in generative or answer-engine outputs.

LLMO

Large language model optimisation

A practice label

Work focused on how language-model systems interpret, retrieve, cite, or represent entities and information.

AI SEO

A bridge term

An extension of search optimisation practice into AI-mediated search and answers, retaining useful technical and content disciplines while adapting the measurement model.