AI Search / GEO

Why this matters for businesses here

A plant manager looking for a contractor, or an HR lead sourcing a training provider, increasingly types a full question into ChatGPT instead of a short phrase into Google. The answer arrives summarised, naming only a few providers. If your name is not among them, you are never considered.

What makes content get picked up

Testing repeatedly across assistants, the content that gets cited tends to share the same traits: the question is answered completely in the first paragraph under its heading; specific numbers and details are present; comparisons appear as tables and processes as numbered steps; the author and their real experience are named; and the last-updated date is recent.

We restructure existing content against these principles rather than throwing it away and starting over.

Schema is the language machines read without ambiguity

We implement structured data across the site — Organization, LocalBusiness, Person, Service, Article, FAQPage and BreadcrumbList — linked together with @id so systems understand how each piece relates to the others.

What we will tell you straight

The llms.txt standard is still early, and the major AI providers have not confirmed they treat it as a meaningful signal. We publish it because the cost is near zero and there is no downside — but we do not sell it as the answer. The real weight still sits with content quality, demonstrated expertise, and being cited by other credible sources.