Skyone's marketing team built its own brand monitoring tool for AI responses using Skyone Studio Creator in about 20 minutes, without coding and without relying on external agencies. The result was a jump from 4% to 9% in global Share of Voice, a 125% growth in brand presence in AI-generated responses.
Think about how you do your own research today. You still use Google, of course, but you're increasingly turning to tools like ChatGPT, Gemini, or Perplexity to get answers, compare solutions, and make decisions. This applies to the end consumer and, increasingly, to B2B purchasing decisions.
This change in behavior raised a question that traditional marketing wasn't prepared to answer: when someone asks an AI, does your brand appear? And if it does, does it appear prominently?
That was precisely the question the Skyone marketing team decided to investigate. The problem is that, when they looked for a ready-made tool on the market to answer this question, they encountered three recurring obstacles:
Given this, a simple idea emerged: what if the team itself built this tool?
This is where Skyone Studio Creator. Instead of opening a support ticket with the technology team, waiting for a development cycle, or negotiating with an external vendor, the marketing team used Studio Creator to create their own solution from scratch, without relying on code.
The process was straightforward: they described what they needed to track, connected the relevant data sources, and adjusted the indicators that made sense for the team's objective. In approximately 20 minutes, they already had a first functional version up and running.
The application created allows the Skyone team to:
In other words, what was once an unanswered question — "Are we being cited by AI?" — has become a trackable indicator, monitored month by month, like any other marketing metric.
Concrete numbers, no beating around the bush: in 30 days of monitoring, Skyone went from 4% to 9% of global Share of Voice in the AI responses analyzed, a growth of 125%.
| Indicator | Result |
|---|---|
| Initial Share of Voice | 4% |
| Share of Voice after 30 days | 9% |
| Growth during the period | 125% |
| Monitored search journeys | 100 |
| AI responses analyzed | ~100 thousand |
| Tool construction time | ~20 minutes |
More than the number itself, what this result shows is that it's possible to measure and improve a brand's presence in generative AI with a structured approach, without relying on expensive platforms or third parties that don't understand your market.
This case study illustrates a larger trend well: traditional SEO is gaining a sibling, GEO (Generative Engine Optimization), which optimizes brands to be found and cited correctly by generative AI tools.
If your company isn't already paying attention to this, it's worth considering: when a potential customer asks ChatGPT "what's the best solution for X," is your brand part of the answer? And, just as importantly, do you currently have a way to measure this over time?
The most interesting gain from this project wasn't just the Share of Voice number; it was the practical demonstration that a business team, without relying on dedicated developers, can transform a real need into a functional application in minutes, not months.
Instead of choosing between "hiring an off-the-shelf solution that doesn't solve everything" or "waiting for a traditional development cycle," the Skyone marketing team chose a third path: building their own custom tool with Skyone Studio Creator.
Discover Skyone Studio Creator and see how you can create customized applications for real business challenges, bringing the idea closer to execution.
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