CloudZone is a leading cloud managed services provider. The team used Limy’s Source Analysis to see which sources shape how AI Search describes CloudZone, then acted on it. A coordinated LinkedIn push turned that insight into measurable growth in citations, AI visibility, and traffic, all tracked in Limy’s AI Traffic Monitor.

Challenge

Buyers increasingly ask AI Search for recommendations before they ever reach a website. CloudZone was already visible in traditional search, but how AI engines described the company, and where those answers came from, was still unclear.

The team wanted control: to know which sources were shaping AI answers about CloudZone, and to act on them with confidence instead of guesswork.

Solution

CloudZone used Limy’s Source Analysis to map the sources most influencing how AI engines answer questions about the company, then tracked the results in Limy’s AI Traffic Monitor.

Finding the source that mattered

Source Analysis surfaced LinkedIn as a key source shaping how CloudZone appears in AI answers, a channel the team had not realized carried that weight. That single insight rallied teams across CloudZone around a coordinated LinkedIn content push.

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How we did it

We kept every step tied to a measurable outcome:

1. We ran Source Analysis to identify which sources AI engines rely on when answering questions about CloudZone.

2. Once LinkedIn stood out as a high-influence source, the team prioritized it and coordinated content across departments.

3. We tracked every change in Limy’s AI Traffic Monitor, connecting off-site work to real, attributable traffic.

Impact

What used to be guesswork is now a clear, trackable loop. Individual LinkedIn posts have seen citation growth of several hundred to several thousand %, as AI engines increasingly pull from them, and CloudZone’s AI-driven traffic has held steady since early in the year. The team can now see how CloudZone shows up in AI Search, act on it, and prove the impact.