TL;DR Summary:
AI Blind Spots: Enterprise buyers now use AI chatbots to shortlist vendors, which can cause your business to be skipped if those tools recommend competitors instead.Visibility Gap: rtCamp found that AI models praised its engineering and migration strengths but underrepresented security, compliance, and governance, even though those credentials already existed.Trust Fix: By making certifications, partnerships, case studies, and trust signals easy for AI to find and verify, rtCamp improved sentiment, increased share of voice, and boosted organic form fills.How do I know if AI tools are recommending my competitors instead of my business?
Enterprise buyers are changing how they research vendors. Instead of starting with Google, they ask ChatGPT, Claude, or Perplexity to create shortlists. When AI tools respond, your business might not even appear in those recommendations.
rtCamp, a WordPress agency with 250+ engineers and clients like Google and Al Jazeera, discovered this problem firsthand. They were losing enterprise deals because AI tools weren’t highlighting their strongest credentials. Here’s how they fixed it in one month.
Why AI Visibility Toolkit Matters More Than Traditional SEO
Traditional SEO focuses on Google rankings. But 40% of searches now happen through AI chatbots. These tools pull information from across the web to answer questions, and they don’t always surface the same results Google would show.
rtCamp needed to understand how AI tools were describing their business to potential clients. Enterprise buyers were using these tools to create vendor shortlists, but rtCamp had no way to see what those AI responses looked like.
They turned to Semrush’s AI Visibility Toolkit to get answers. The toolkit showed them exactly how different AI models were presenting their brand when people asked about WordPress agencies or migration services.
Finding the Gap in AI Brand Perception
rtCamp started with the Brand Performance report inside the AI Visibility Toolkit. The goal was simple: see how AI models described rtCamp across categories that enterprise buyers care about most.
The overall sentiment scores looked good. AI tools recognized rtCamp’s engineering skills and migration expertise. But the mention-specific data revealed a problem.
AI models consistently talked about rtCamp’s strengths in migrations, infrastructure, and architecture. They provided much less coverage of security, compliance, and governance. These topics matter most to enterprise procurement teams.
This gap was puzzling. rtCamp already had SOC 2 Type II and ISO 27001 certifications. They had FedRAMP coverage through their WordPress VIP partnership. But AI tools weren’t mentioning these credentials when describing the company.
For companies looking to get similar visibility into their own AI brand presence, tools like AI Mentions provide real-time monitoring of how AI search engines and chatbots represent your brand across thousands of queries.
“Security is one of the most important factors for enterprises when choosing a platform and vendor,” said Aviral Mittal, Chief Marketing Officer at rtCamp. “Semrush validated our thinking, and it gave us the data to prioritize security and compliance in how we present rtCamp.”
Making Security Credentials Visible to AI Models
Armed with data from their AI Visibility Toolkit analysis, rtCamp made focused changes to highlight their existing security capabilities. They weren’t adding new certifications. They were making their current ones visible to AI models.
Here’s what rtCamp did:
Launched a dedicated Trust Center. They published trust.rtcamp.com as a centralized hub for security posture, compliance progress, and data handling practices. This gave AI crawlers a structured, authoritative source to reference.
Made certifications public. SOC 2 Type II and ISO 27001 certifications were highlighted across the website. AI models now had concrete information to reference instead of making inferences.
Mentioned FedRAMP authorization everywhere. rtCamp clients benefit from FedRAMP-authorized infrastructure through the WordPress VIP partnership. They made this advantage explicit on service pages and partnership messaging.
Elevated trusted partnerships site-wide. Information about partnerships with WordPress VIP, Automattic, Kinsta, and Pagely now appears in footers, banners, and key service pages. Ecosystem authority signals carry weight with AI models that evaluate vendors.
Added trust signals to high-intent landing pages. Service pages for migrations now show case studies, compliance credentials, partnership logos, and security indicators alongside service descriptions.
Published new enterprise case studies. More structured evidence of complex engagements gives AI models additional material to draw from.
Built trust through customer reviews. Third-party validation on G2 and Clutch serves as a trust signal for both AI models and human buyers.
Measuring Results from AI Visibility Toolkit Changes
In one month, rtCamp moved the needle on AI perception. The changes showed up in measurable ways:
Overall favorable sentiment jumped from 73% to 100%. AI share of voice increased by 2%.
Security, compliance, and governance sentiment went from 70-80% to 100%.
The change appeared in sales conversations too. Enterprise prospects were encountering rtCamp’s security credentials before talking to the sales team. This early visibility helped establish trust and reduced friction in the evaluation process.
Organic form fills increased 117% during the same period.
“As AI-driven discovery becomes more prevalent, enterprises are increasingly encountering rtCamp’s security, compliance, and governance credentials before engaging with the sales team,” Mittal explained. “This early visibility helps establish trust and enables prospective clients to move forward with greater confidence.”
Why AI Models Reward What They Can Find and Verify
AI models work differently from Google search. They need clear, structured information they can confidently surface to users asking questions. If your strongest credentials aren’t visible in a format AI tools can parse and understand, those tools will highlight competitors instead.
For rtCamp, the distance between operational reality and AI perception was a content and clarity problem. They had the security certifications. They had the enterprise partnerships. But AI models couldn’t easily find and verify this information when generating responses about WordPress agencies.
The solution wasn’t to get new credentials. It was to make existing ones visible and verifiable in the right places on their website.
Treating AI Brand Monitoring as an Always-On Process
rtCamp now treats AI visibility as an ongoing brand health signal rather than a one-time audit. They continue using the AI Visibility Toolkit to monitor perception shifts on a rolling basis.
Their ongoing work includes scaling review volume on G2 and Clutch, producing targeted content on compliance and risk reduction, and tracking how new content affects their share of mentions in the security category.
The key insight from rtCamp’s experience is that AI models reward what they can find, verify, and confidently surface to users. If your strongest differentiators aren’t visible to AI tools, potential customers will never hear about them during their research process.
Before you can fix how AI represents your brand, you need to know what it’s currently saying about you and your competitors. AI Mentions identifies which specific queries trigger competitor recommendations instead of yours, revealing exact content gaps you can fix. You can explore the tool to discover where your brand might be invisible in AI-powered research sessions.
