Methodology
AI visibility work removes the reasons a system would not cite you: unreachable content, an ambiguous identity, and answers that cannot survive being lifted out of context. Nobody can guarantee citation, and we do not.
Many AI crawlers execute little or no JavaScript, so a site that renders in the browser can be invisible to them while performing acceptably in conventional search. Confirming server-rendered content and an appropriate robots policy comes before anything else.
One canonical organisation record with a stable identifier, referenced rather than repeated across templates, and details that agree across the site and every external profile. Systems resolve competing facts by weighing sources, and inconsistency is where smaller businesses lose that contest.
On pages that answer questions, the answer goes before the argument, in complete sentences that make sense alone, under headings phrased the way questions are actually asked. A passage that depends on its surroundings cannot be extracted or quoted.
We sample a fixed set of buyer questions across the assistants your market uses, repeat it on a schedule, and read it alongside branded search and direct arrivals. It is sampling rather than measurement, and we describe it as such.
AI visibility work removes the reasons a system would not cite you: unreachable content, an ambiguous identity, and answers that cannot survive being lifted out of context. Nobody can guarantee citation, and we do not.
Everything above is how we say we work. Thirty minutes on a real problem is the fastest way to find out whether it is also how we behave — and it costs you nothing to check.
