Entity definition
Who you are, what you do and where, stated consistently and machine-readably.
When someone asks an assistant to recommend a supplier, the answer is assembled from sources the model trusts and can verify. That is a different game from ranking: it rewards clear entity definition, consistent facts across the web, third-party corroboration and content structured so a specific claim can be lifted and attributed.
GEO work builds exactly that. We make your entity unambiguous, get your facts consistent everywhere they appear, earn citations on the sources these systems actually read, and restructure key pages so answers are extractable. Then we monitor which engines mention you, and for which prompts.
Being the source an AI answer cites
When someone asks an assistant to recommend a supplier, compare options or explain a category, the answer is assembled from sources the model can retrieve, corroborate and attribute. That is a different competition from ranking, and it rewards different things.
Clear entity definition. Facts that agree with each other everywhere they appear. Third-party corroboration on sources these systems weight. And content structured so a specific claim can be lifted and attributed cleanly rather than being buried in a paragraph of marketing language.
Entity work: making your business unambiguous
Generative systems need to know what kind of organisation you are, what you do, where you operate and how you relate to other entities they already understand. If your name is inconsistent across the web, your address differs between directories, or your claims vary between your site and your profiles, that ambiguity costs you citations.
So the first phase is an audit of everything the web currently says about you, and a clean-up so it agrees. It is the same discipline as citation work in local SEO, applied to a wider set of facts.
Answer-shaped content
Content written for AI retrieval answers a specific question directly, near the top of a section, in language that stands alone when extracted. Long preambles, marketing throat-clearing and claims without a stated basis all reduce the chance of being quoted.
This is also better for human readers, which is why it is worth doing even if you are sceptical about how large this channel will become.
Measuring something that resists measurement
There is no rank tracker for AI answers. What can be done is to define a prompt set that matters to your business, run it across the major assistants on a schedule, and record whether you are mentioned, how you are described, and who is mentioned instead.
That is directional rather than precise, and we report it as such. Anyone offering you exact AI visibility percentages is inventing them.