rtCamp is one of the most trusted WordPress agencies in the world, with 250+ developers who have supported 500+ business engagements. Their client list includes Al Jazeera, Google, Cox Automotive, and Penske Media.
However, when the rtCamp team examined what AI search engines were saying about them, something was missing. The models talked about the engineering and transportation work of rtCamp. But they have downplayed some of the rtCamp credentials that the enterprise security groups hold so much weight.
Here’s how rtCamp used Semrush’s AI Visibility Toolkit to find that gap and close it in one month.
Problem: No visibility into AI settings
Business buyers have been using AI tools to filter sellers.
rtCamp knew this was happening. But they had no visibility into whether they appeared on that AI-generated shortlist or how they were defined.
So they turned to Semrush’s AI Visibility Toolkit to find out.
Solution: Finding and addressing gaps in AI knowledge about the product
Here is the workflow rtCamp followed to identify and fix gaps in what AI tools know and present to users:
Step 1: Find the AI visibility gap with Semrush
The rtCamp team started with a Product Performance report on Semrush’s AI Visibility Toolkit.
The goal was simple: rtCamp wanted to see how LLMs were defining the product across key categories for business buyers.
The emotional score and the voice assignment of the AI looks healthy.
Then came the specific data in the Perception report that revealed what the AI was talking about when describing the product. This is where the gap appeared.
AI models have not always seen the potential of rtCamp in migration and rehabilitation, infrastructure, and buildings. However, they offer security, compliance, and management in a less desirable way – a category that weighs heavily on enterprise purchasing teams.
rtCamp knows that testimonials are important to businesses. SOC 2 Type II and ISO 27001 certifications are already in place. The FedRAMP installation was available in partnership with WordPress VIP.
But these traits don’t get the same visibility in AI responses as their engineering strengths.
“Security is one of the most important factors for businesses when choosing a platform and vendor. Semrush confirmed our thinking, and gave us the data to prioritize security and compatibility with the way we present rtCamp..”
Step 2: Make the invisible visible
Armed with its AI visibility data, rtCamp drove a focused set of changes to make the agency’s existing capabilities across security and management visible to AI models and consumers.
Here’s what the rtCamp team did:
- We have introduced a dedicated Trust Center. rtCamp has published trust.rtcamp.com as a central hub for security posture, ongoing compliance, and data management practices. This gave AI researchers a systematic, authoritative source to draw from.
- Make certificates public. SOC 2 Type II and ISO 27001 certifications are highlighted on the website. The AI models now had something tangible to refer to instead of trust.
- FedRAMP approval is mentioned in every important area. rtCamp customers benefit from FedRAMP certified infrastructure with WordPress VIP partnerships. That benefit was now evident on service pages and partnership messages.
- High reliability partnerships across the site. Information about working with WordPress VIP, Automattic, Kinsta, and Pagely now appears in the footer, banners, and key service pages. Ecosystem authority signals have real weight with AI models that evaluate the seller.
- New business case studies published. More structured evidence of complex, higher involvement gives AI models more things to draw on.
- Building trust with customer reviews on G2 and Clutch: Third-party verification is a sign of trust in both AI models and human consumers. This work is ongoing.
For example, rtCamp information, security controls, and interactions are now visible within the Trust Center:
And for every website, starting with the homepage:
Results: Measurable movement at 1 month
In one month, rtCamp moved the needle on the AI vision:
|
Metric |
April |
May |
|
Good Idea Perfect |
73% |
100% |
|
Security, Compliance and Governance |
70%–80% |
100% |
First, overall positive sentiment increased to 100%, with a 2% increase in AI voice share.
Second, feelings of Security, Compliance, and Governance went from 70%–80% to 100%.
This was also reflected in ARTCamp’s AI opinion – a metric that measures sentiment across AI-generated responses to non-branded questions – compared to its competitors.
|
Previously:  |
After:  |
The change in the way rtCamp appears in AI responses was reflected in sales discussions.
“As AI-driven sourcing becomes more common, businesses are increasingly experiencing the security, compliance, and management details of rtCamp before contacting the sales team. Combined with the validation found on the rtCamp website, including documented processes, delivery standards, and work methods, this early visibility helps establish trust, reducing customer churn and greater confidence.”
Early signs of a positive impact also came from organic traffic. Organic form fills increased 117% during that time.
Warning: Business sales cycles are long. rtCamp is still looking at what development is related to its AI work stick.
But so far, it’s clear that the better position of AI is changing the way consumers approach negotiations.
What’s Next
rtCamp treats AI visibility as an always-on health signal rather than a one-time test.
Work in progress includes:
- Measuring G2 and Clutch review volume to strengthen third-party verification
- Producing targeted content on compliance, governance, and risk mitigation to increase the share of stakeholders in the security sector and provide prospects with a deeper context.
- Using the Semrush AI Visibility Toolkit to monitor visibility shifts regularly
What are your takeaways from rtCamp’s efforts to improve the way AI responses are presented?
Rewarding AI models can find, verify, and confidently present to people who ask about you.
In rtCamp, the distance between the reality of operation and the vision of AI was a problem of content and a problem of clarity. Semrush made that gap measurable. Closing it was an active project with clear results.