When buyers ask AI for robotics energy solutions, only a few brands get named.
CaPow made sure they were one of them.

The Situation

CaPow builds power delivery solutions for industrial mobile robots. As automation scales, the real constraint isn’t navigation or intelligence — it’s energy. Robots still need to stop, charge, and wait. Eliminating that downtime starts with how power is delivered.

CaPow was already doing the right things by traditional standards.
They were publishing:

• Technical articles

• Case studies

• Product documentation

Traffic was coming in. Rankings existed. Traditional channels were working.

But buyer behavior was changing.

Instead of Googling, decision-makers were asking AI platforms like ChatGPT and Perplexity for recommendations on robotics energy solutions. And when those questions were asked, CaPow wasn’t showing up. Competitors were.

As the team put it:

“We knew our technology was strong. But we had no idea how AI platforms were reading our brand or why competitors were getting recommended instead of us.”

Google Analytics showed visits. The Search Console showed impressions. Neither explained how AI systems interpreted CaPow’s expertise — or which content actually influenced AI-generated answers.

The problem wasn’t volume. CaPow was publishing consistently.
The problem was optimization for a channel that worked fundamentally differently.

The gap was clear - but invisible.

How Limy Helped

On November 4, 2025, CaPow signed up for Limy.

For the first time, they could see:

• Their AI brand visibility compared to 7 competitors

• Where competitors were being cited

• Which topics AI platforms associated with leadership — and which CaPow was missing
  
  
  

The data showed strong technical expertise, but minimal AI presence.
One insight stood out immediately.

Competitors dominated AI conversations around humanoid robots and power solutions - but their content was shallow. AI platforms were citing it anyway because there was nothing better structured or deeper available.

CaPow didn’t need to publish more.
They needed to go deeper in a way AI systems could recognize and reuse.

Limy surfaced a precise recommendation:

• Topic: Enhancing Service Robots: Innovative Energy Solutions for Greater Efficiency in 2025

• Why: Competitors were cited here, but coverage lacked depth

• Structure:
  
  
  

  • Current landscape

  • Innovative solutions

  • Future trends

  • Actionable framework
    
    
    

• Length: ~1,500 words with real-world use cases and technical depth

No guesswork. No generic advice. A clear blueprint.

Out Tactics

• Competitive AI visibility analysis

• Topic selection based on existing AI citations

• Structured, extractable content framework

• Deep technical focus aligned with AI parsing behavior

• Internal execution without agencies or consultants
  
  
  

Thirteen days after signing up, CaPow published “Power Delivery Solutions for Mobile Robots” following Limy’s structure exactly. The entire process was handled internally by the team.

Conclusion

The impact was immediate — and measurable.

• The article reached a visibility score of 480 (15× increase)

• AI platforms began citing CaPow in robotics energy-related queries

• Overall AI brand visibility grew 22% in 30 days

• Individual product pages saw lifts of:

  • +246%

  • +1,459%

  • +287%
    
    
    

As the team summarized it:

“We went from minimal presence to second place in one month.”

The article became more than a win - it became a template. CaPow applied the same approach to existing content and used it to guide new pieces. Each optimized article reinforced the next.

Today, CaPow uses Limy to continuously understand how AI systems interpret their brand, where competitors are gaining ground, and which opportunities will compound visibility over time.

What started as one article became a systematic approach to owning AI visibility in the Agentic web.

Ready to see your team win in the Agentic web?When AI decides who gets discovered, clarity beats guesswork.