Website Diagnosis Made Easy: How AI Agents Streamlined Our Landing Page Launch - A Case Study

Launching a new website or landing page can feel like a race against the clock — regardless whether you're an owner - operated startup or a marketing freelancer. As "vibe coding" grows in popularity, launching new websites is becoming easier and more accessible than ever. But with this ease comes increased competition. How can you ensure your site not only functions properly and follows best practices but also stands out from the crowd? Here's how we leveraged AI-driven agents to streamline our website health check, diagnose issues quickly, and launch confidently.

Identifying the Need: UI & Functional Improvements

Our team kicked off a two-week sprint driven by early customer feedback. It became clear immediately: we needed significant UI improvements to clearly communicate our value proposition and better align our messaging with our ideal customer profile.

As I am responsible for customer experience, ensuring website functionality was crucial. Previously, this meant manually testing every link and meticulously documenting issues — a time-consuming task. But today, leveraging AI agents has changed the game entirely.

Instead of manually clicking each link, I instructed our Agent via the AgentWeb "website diagnostic template" to conduct an automated website health check. In the same time, I performed a manual check as a benchmark comparison.

Here's what happened by comparing this report and my assessment side-by-side:

• Functionality: Both the agent and I quickly pinpointed several broken links, ensuring we didn't miss any critical navigation errors.

• Content: We both identified missing sections—particularly case studies and testimonials, crucial to building trust (and currently in development).

Our AI Agent didn’t just highlight problems; it also provided expert-level recommendations we might have missed otherwise:

• CTA Optimization: The agent suggested using "Try AgentWeb" instead of "Sign Up" as the CTA button, which better aligned with our waitlist database — an insightful tweak.

• Help Center: It caught an oversight where our footer help link mistakenly pointed to our website provider rather than our own support resources.

Implementing these quick, actionable recommendations immediately improved our site's professionalism and user experience.

And the best part? I just needed to enter the website URL to kick-start the agent, and it finished the comprehensive checks more than 70% faster than doing the website diagnostic test by myself.

Second Round of Diagnosis — Catching What We Missed

After our engineering team addressed initial recommendations, we ran another website diagnostic check. This second sweep (report link) uncovered a critical user experience issue:

• The "Contact Us" button on our homepage simply reloaded the homepage instead of opening a contact form or displaying contact details. Surprisingly, this was due to my browser blocking email pop-ups — a subtle problem easily overlooked during manual testing.

Identifying and resolving this issue promptly, thanks to our AI agent, ensured visitors could reach us seamlessly — a vital detail we might have otherwise neglected.

Conclusion: Efficient Launch, Confident Results

Using an AI-driven agent for website diagnostics not only accelerated our launch timeline but also improved the depth and accuracy of our website health checks. Our team was thoroughly impressed by how quickly and expertly the agent identified issues and provided meaningful recommendations.

Curious how an AI Agent could streamline your website diagnosis? Book a demo or join our waitlist today for a two-week free trial and experience the difference firsthand!