The finding, in one line
The schema is in place and the idea is clear, but the homepage is thin and the name is a common word. Give the machines real, quotable copy and a distinct identity, and the picture changes quickly.
The proof
These are the questions a brand or marketing lead would actually type when looking for an agency like Ringers. We then checked the directory lists AI assistants draw on to answer them, and recorded who was named.
Names that recur across the directory lists AI cites for Dublin agencies, from top pick to passing mention. Ringers did not appear in that set.
On the method, plainly. Reachability, schema, on-page text, titles and headings are measured directly from your homepage and robots.txt on 14 September 2026. The shortlist read is taken from the directory lists AI assistants cite for Dublin agencies, checked the same day. Because AI answers vary between runs, the firm standard is five runs per buyer question on each assistant before a rate is locked. That five-run pass is the immediate next step.
Three problems
None of these is about the quality of your work. They are about what the machines that now shape a buyer’s shortlist can see, understand, and repeat.
The homepage is thin, and the abstract “Proper Problems” positioning gives a model almost nothing concrete to repeat.
“Ringers” collides with boxing, darts and “dead ringer”, adding entity-resolution noise.
The lists AI cites for Dublin agencies do not name you, so you are outside the consideration set.
Why this is fixable
The foundation is sound: the schema exists and the positioning is clear. The score is held down by how little quotable text sits on the page. Adding concrete, factual copy is fast and moves several dimensions at once.
One honest note before the upside. Direct traffic from AI is still small today. The prize here is not the click. It is being on the shortlist at all, because when an assistant recommends you it has already told the buyer why you fit, so the introduction arrives pre-qualified.