Buyers can now ask an AI assistant who to hire. This diagnostic asks your real buying questions, again and again, and records three things: were you named, who was named instead, and which websites the answer was built from.
Replay of a real run · 24 questions × 3 repeats · Claude with web search · 30 Sept 2026 · we ran it on ourselvesOur own numbers are low, and we're showing them anyway. That is what this diagnostic is for: it tells you where you stand and what would actually move it, including when the honest answer is "not worth chasing".
Every question was asked three times. For each answer: was ResonAi named, who was named, and which sites the assistant read to write it. Directories are marked in gold. The number on the right is answers naming ResonAi out of answers that returned.
Shortlist answers are built from directories and big-firm content. Advice answers are built from encyclopedias, research firms and software vendors. Smaller firms are anonymised on this public page.
Share of all firm names counted across every answer.
Websites read to build the answers, by number of answers. Gold = directory.
Each recommendation names the number it came from, so you can argue with the reasoning instead of taking it on trust.
Create or claim a profile on each, with the location stated and the service categories matched to the questions. It's form-filling, not content, and it is the only thing that moves shortlist answers.
This is an absence, not a ranking problem. Publish pages that answer one specific question with specifics, then re-measure. Being the page an answer is built from is worth more than being a name it drops.
Find what those answers cited and keep it current. Holding ground is cheaper than taking new ground.
Same questions, same assistants, same method, or the comparison measures the change in method instead of the change in visibility.
That is trade press and research at a budget a small firm can't match. Target those questions only to be cited as a source, never to be named.
We ask your buyers' real questions across the assistants they use, repeatedly, and hand you the sources, the gaps and an honest go/no-go.
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