From Invisible to Cited: 13x Growth in AI Search Visibility in 18 Months

Research Non-Profit

Researcher looking in a microscope
Project outcomes

Eighteen months of tracking AI visibility as a lead metric moved a medical research non-profit from absent in AI-generated answers to a source those systems cite by default.

Growth in AI-driven traffic. From a baseline of ~100 visits a month to 1,283.


Citations, up from 15 at the start. AI-generated answers citing the site grew by a factor of 42.


Improvement in average citation position.


Project Overview

Background

A non-profit research institute came to us with a question most marketing teams can’t yet answer: when people ask ChatGPT, Google AI Overviews, Gemini, or Perplexity questions in their field, does their site show up in the answer?

At the start, it didn’t. Their AI-driven traffic was effectively zero, and nobody on their team had a way to track whether that was changing.

The Approach

We built AI-visibility tracking into their monthly reporting from day one and treated it as a lead metric, not a footnote. Every reporting cycle, the data showed us two things: which existing content was close to earning a citation and needed strengthening, and where a citation gap signaled a topic worth building from scratch. Both fed directly into the content plan — and the cadence held for a year and a half, not just a single campaign push.

Line chart showing AI-driven traffic climbing from near zero to a peak of 1,283 monthly visits
Line chart showing AI citation count growing from 15 to a peak of 636 citations
Line chart showing AI-driven traffic climbing from near zero to a peak of 1,283 monthly visits

The first call is an honest assessment, not a pitch.