Search
GEO
Generative engine optimisation — being the source an AI answer cites, not the link it skips.
The problem
A growing share of commercial questions never reach a results page. The assistant answers, cites two or three sources, and the visit either happens or does not. Brands optimised entirely for blue links are invisible in that exchange, and the analytics rarely show it clearly, because the traffic that never arrived leaves no trace.
Precision
How the work actually runs.
Establish what the models can see
We test how assistants currently answer the questions your buyers ask, and which sources they lean on.
Make the brand quotable
Clear claims, specific numbers, stated sources, structured markup. Models cite what is easy to verify and hard to misread.
Fix the citation gap
Where a competitor is being quoted and you are not, we identify what they publish that you do not, and close it.
Track AI referrals properly
ChatGPT, Gemini, Claude, Perplexity and Copilot each arrive differently. Most analytics setups bucket them as direct traffic and hide the whole channel.
Evidence
Measured in the client’s own systems.
Questions
Answered before you ask.
Is GEO just SEO with a new name?
It overlaps but is not identical. SEO competes for a position on a page; GEO competes to be the source a model trusts enough to cite. The tactics for the second are more about verifiability than about ranking signals.
Can you guarantee my brand appears in AI answers?
No, and neither can anyone else — the models are not a system you can buy placement in. What can be done is making your brand the most citable answer available, then measuring whether citations increase.
How do I know if AI traffic is reaching me at all?
Most sites cannot tell, because assistant referrals get filed as direct traffic. Separating them is the first thing we set up, and it is usually the moment the channel becomes visible.
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