What is generative engine optimization?
Generative engine optimization, or GEO, is optimising for systems that generate an answer rather than return a list of links. The unit of success is not a ranking position. It is whether the generated answer reflects your business accurately, and whether you are among the sources the model draws on when someone asks about your service or your market.
The short definition
GEO is optimising for systems that generate an answer rather than return a list of links.
The unit of success is not a ranking position. It is whether the generated answer reflects your business accurately, and whether you are among the sources it draws from.
What is actually different
Three things change when the interface generates prose instead of listing pages.
There is no position two. An answer names a handful of sources, or none. The distribution is far more concentrated than a page of ten results.
Consistency across the web matters more. A generated answer is assembled from many sources. If your service area says one thing on your site, another on a directory and a third on your Google Business Profile, the model has no reliable version to state — and inconsistency reads as uncertainty.
Being absent is worse than ranking low. A page ranked eighth is still findable. A business absent from the sources a model draws on simply does not appear in the answer at all.
What the work involves
Say the specifics plainly, on your own site. Services, areas served, prices where you publish them, hours, who you are. Written as statements, not implied by design.
Keep every listing consistent. Same name, same address, same phone, same service area everywhere.
Structured data. Organisation, service, FAQ and article markup so the facts are machine-readable rather than inferred from layout.
Answer real questions. Content built around what people ask, in the words they use.
Establish who is speaking. A named person with a real background attached to the content, so there is an identifiable source.
Machine-readable access. Files like llms.txt, and endpoints an agent can query, are an emerging convention for stating plainly what a site contains.
The honest caveat
How these systems choose sources is not published, changes frequently, and is not something anyone can guarantee an outcome against. Be sceptical of anyone selling guaranteed AI visibility.
What can be said confidently is that accurate, specific, consistent, well-structured information about your business is a prerequisite. Nobody gets cited for information that does not exist in a usable form.
How it relates to AEO
The terms overlap heavily. AEO tends to emphasise direct answer extraction; GEO tends to emphasise generated summaries and citation. The practical work is largely the same.
Where to start
Ask an AI assistant about your business and your market. What it says — including what it gets wrong — is the clearest brief you will get.
Frequently asked questions
What is the difference between GEO and AEO?
They overlap heavily. AEO emphasises direct answer extraction; GEO emphasises generated summaries and citation. In practice the work is largely the same.
Why does consistency matter more for GEO?
A generated answer is assembled from many sources. If your service area differs between your site, a directory and your Google Business Profile, there is no reliable version for a model to state.
Can anyone guarantee AI visibility?
No. How these systems select sources is unpublished and changes frequently. What is defensible is that accurate, specific, consistent, structured information is a prerequisite for being cited at all.
How do I see where I stand?
Ask an AI assistant about your business and your market. What it says — especially what it gets wrong — is the clearest brief you will get.