Buyers had started building shortlists by asking ChatGPT and Perplexity — and our client was invisible in those answers while a louder competitor got named every time. We re-engineered the brand to be the most citable source in its category.
Traditional rankings were healthy, but the AI answer layer was a blind spot quietly shaping shortlists before a single page view. When prospects asked engines for tools in the category, the model named a rival — and our client wasn't even in the consideration set.
Getting cited by an AI engine is its own discipline. We worked the three levers that decide whether a model trusts and retrieves you.
We mapped the exact questions buyers ask engines and built structured, extractable answers a model can lift verbatim.
We made the product unmistakable to language models — what it is, who it's for, and how it relates to the category.
A digital-PR push placed authoritative mentions across the sources AI engines train on and retrieve from.
Citation footprint expanded engine by engine as entity and corpus signals compounded.
Six months in, the brand became the default answer when buyers asked AI engines for tools in the category — cited first in ChatGPT and named across four of the five major engines. Branded search climbed as that visibility compounded, and sales started hearing 'I saw you recommended by ChatGPT' on discovery calls.
“The AI-search work is what set them apart — we get cited in ChatGPT and Perplexity, and it's driving real pipeline.”
Start with a free audit, or book a call and we'll map the fastest path to position one — across Google and AI search.