We built cite0 because customers stopped searching and started asking.
When someone in Toronto wants Botox, a plumber, or a dentist, more and more of them ask ChatGPT or Google’s AI — and the answer names two or three businesses. We wanted to know exactly how those names get chosen. So we built the thing we couldn’t find: a system that asks AI thousands of real customer questions, week after week, and records who gets picked — then fixes the signals behind the answer.
cite0 is a Toronto team: engineering that builds the measurement system, data that models what it produces, and market research that works out what customers in this city are actually asking. We start where we live: med spas and aesthetics in the GTA, one neighbourhood at a time.
How we work. Everything we score, we publish the method for. Everything we recommend, we run on our own site first: every page here is graded by the same engine we sell, before it ships. And we will not promise what nobody can: AI answers shift weekly, and anyone guaranteeing you a ChatGPT ranking is selling something else. What we promise is measurable movement on the signals AI demonstrably uses.
Three steps, run on a weekly cycle. No part of it is a black box — the method behind every number is published in our research.
We put thousands of the questions your customers really type — grouped by intent, weighted by estimated search volume — to ChatGPT, Gemini, Perplexity and Google’s AI Overviews, on repeat.
For every answer we log which businesses were named, in what order, which sources the answer was built from, and how the tone of the mention reads.
Then we work backwards to the signals behind those answers — your Google profile, reviews, listing consistency, and whether an AI crawler can read your site at all — and rank the fixes by what actually moves a mention.
Engineering, data, and market research — all in Toronto, all in-house. No account managers and no outsourced delivery: you talk to the people doing the work.
Builds the measurement system end to end: the harness that runs the weekly questions, the crawlers, the website checks, and the scoring engine every number on this site comes from.
Turns thousands of weekly AI answers into something you can act on — which signals move a mention, which are noise, and whether a change is real or just week-to-week drift.
Works out what people in the GTA ask before they book: the phrasing, the intent behind it, the demand behind each question, and where one neighbourhood behaves differently from the next.
The signals AI systems demonstrably read — your Google Business Profile, your reviews and the replies to them, consistent listings across the web, and a site an AI crawler can actually parse — are things we can measure before and after, and show you the movement on.
We won’t sell you a guaranteed place in a ChatGPT answer, and our search-volume figures are modelled estimates rather than measured traffic — we publish exactly where they come from and the four things they cannot tell you.