Some results come from one clever move. Munu's result came from the opposite: Steady, strategic work across the full breadth of what drives AI visibility, from the content on the website to the technical structure underneath. The reward was a 1385 percent increase in AI visibility.
The approach: Strategy over stunts
Munu used Synlig.ai as the steering tool for the whole effort. The measurements showed where they stood, which topics mattered most and what should be done first. Then they worked through the priorities:
- Website content: Clearer answers to customer questions, better structure and content built around the topics where visibility was to be won.
- Technical structure: a clean technical foundation making the content easy for AI platforms to fetch and reproduce.
- Continuous measurement: Every change was followed up in the visibility score, so the effort could constantly be steered towards what demonstrably worked.
The result: Nearly fifteen times the baseline
An increase of 1385 percent means Munu is now mentioned in AI answers almost fifteen times as often as at the baseline. That is the difference between being a name the models know and a name they never have a reason to use.
"We have achieved strong results through consistent efforts. Synlig.ai has enabled us to work strategically with everything from website content to technical structure."
Marketing Manager, Munu
What you can learn from Munu
Big percentages rarely come from a single initiative. They come from systematics: Measure, prioritise, execute, measure again. It is the same method we describe in the pillar guide on AI visibility, and the structural thinking behind it is in our guide on internal linking. If you want to know what systematic work could do for your numbers, it starts with a measurement.