Rien de publié pour l'instant
Les premiers sprints tournent en ce moment.
Plutôt que de remplir cette page de citations toutes faites, elle reste vide jusqu'à ce qu'il y ait un avant-après qui vaille la peine d'être montré — avec les réponses brutes des moteurs derrière. Vu ce que cet outil mesure, publier moins que cela serait une mauvaise publicité pour lui.
Ce qui sera publié ici.
Before and after citation rates
The same prompt set, run on the same engines, at baseline and at day thirty. Both runs keep their raw response bodies, so any number on this page can be traced back to the answer that produced it.
Search Console alongside AI citations
Organic impressions and clicks over the same window as the citation change. AI visibility work moves both, and separating the two is the only way to know which lever did what.
The engine answers themselves
Screenshots of the actual generated answers, before and after. The most convincing artefact is usually the plainest one: the brand absent from a shortlist, then present in it.
The source domains that changed
Which third-party domains the engine cited at baseline, and which of them started including the brand. This is the part that shows the work was causal rather than coincidental.
Ce que disent les clients.
“We were ranking fine and still never came up when someone asked ChatGPT for the best merino base layer. The scan showed us cited in 3 of 25 answers and named the four review sites that were being read instead. That list was the whole plan.”
Client nameHead of Growth, DTC outerwear brand“The useful part was being able to read the actual answers. Not a score out of a hundred, but the sentence where a competitor got recommended and we did not. Nobody on the team argued with it after that.”
Client nameFounder, Skincare brand“Thirty days later we re-ran the same twenty-five prompts and went from 4 to 11. Same questions, same engine, so it was a real comparison rather than a new report with different numbers.”
Client nameEcommerce Director, Home goods brand
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