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AI-Powered Chatbot Transforms Digital Engagement for University

Leveraging the power of WP Engine’s Managed Vector Database—a fully managed service that automatically extracts, cleans, and vectorizes content—Click Here Labs developed an innovative AI chatbot that provides instant, accurate answers to student questions, dramatically improving the user experience for Nelson University.

Site:

nelson.edu

Industry:

Education

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“The capability is there to merge in the visual and narrative storytelling. We can create a situation where you interact with the content in a way that serves your train of thought in your style of communication.”

—James Henningson, Director of Innovation, Click Here Labs

30%

drop in bounce rates

25%

increase in web visitors

6,000

pages consolidated to under 1,000

The Client

Nelson University, a private university in Texas, recently underwent a major rebrand from Southern Assemblies of God University (SAGU). With a high volume of public-facing content, the university reached out to Click Here Labs and WP Engine for a better way to engage prospective students, current students, alumni, and donors online.

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The Challenge

Nelson University needed to make its vast amount of information easily accessible to its audience. The university's website contains a massive volume of content, from program descriptions and historical information to class schedules and FAQs. This sheer quantity of data made it difficult for users to find specific answers quickly, often requiring a deep, multi-click search. The rebrand also created a new set of questions from alumni and others who had to navigate the name change.Scale operations, elevate offerings, optimize workflows, and improve client experiences while maintaining a lean agency team.

The Solution

Click Here Labs developed a custom AI chatbot powered by WP Engine’s Managed Vector Database. This fully managed service removes the need for custom pipelines, manual re-indexing, or a separate hosted infrastructure, allowing the team to focus on building the front-end user experience and custom tools. The solution works with the university's existing WordPress® site, automatically leveraging its entire content database. Instead of relying on a hard-coded, front-end solution, the chatbot uses a Retrieval-Augmented Generation (RAG) model to provide contextual, fact-based answers, all powered by the continuously updated data from the Managed Vector Database.

Click Here Labs built a number of proprietary tools to ensure accuracy and prevent AI hallucinations, all populated from the WordPress instance’s data that is seamlessly indexed, managed, and hosted with WP Engine’s Managed Vector Database solution. The database's Similarity API allowed the agency to easily integrate and retrieve contextually relevant content for their chatbot. Click Here Labs created custom interfaces in WordPress for managing prompts and establishing strong guardrails, ensuring the chatbot's answers were always grounded in the university's official content. A logged chat history helps identify content gaps, showing which questions users frequently ask that don't have clear answers on the site.

To test the chatbot's performance at scale, Click Here Labs used CrewAI to simulate thousands of user inquiries. This automated testing process generated variations of common questions and scored the chatbot's responses for consistency. The bulk testing confirmed the system’s ability to handle heavy loads without impacting server performance. The solution was built to be a living system, allowing Nelson University staff to upload new questions and content for immediate indexing and testing.

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The Results

The implementation of the AI chatbot transformed how Nelson University's audience interacts with its website. The solution made finding information much more efficient and intuitive, reducing multi-click searches to a single, direct conversation. For example, a question like "Do I need a new diploma after the rebrand?" could be answered instantly by the chatbot, saving the user from a six-click search.

The solution has brought a new level of confidence to the university's team. As Nancy Lane, Nelson University’s Content Strategist, notes, “We’ve never before been in a position where we’ve been able to present our website and say, ‘Try it. It’s bulletproof.’ That has brought a whole new level of confidence to our marketing department.” Steve Fiedler, the university’s Director of Marketing and Communications also emphasizes the shift in strategy: “I actually embrace now looking for ways to fix content. We have tools at our disposal—like this report on the backend of WordPress—to diagnose content gaps and implement real solutions in-house, which has reduced our overhead.”

This new level of engagement provides significant value beyond the user experience. The chatbot's logged history serves as a powerful tool for content gap analysis, helping the university's team identify areas where they can create new content to better serve their audience. The same tool is also used by on-campus staff, who can use it to quickly answer in-person questions. 

The successful deployment for Nelson University is the beginning of a larger shift in how Click Here Labs approaches digital experiences, moving from static pages to dynamic, contextual conversations with a client's data. “This is the beginning of a fundamental change to how we interact with the internet,” says James Henningson, Vice President of Click Here Labs. “The capability is there to merge in the visual and narrative storytelling. We can create a situation where you interact with the content in a way that serves your train of thought in your style of communication.”

The project has resulted in several positive outcomes for the university: 

  • Enhanced user experience: Visitors get instant, accurate answers to complex questions, whether they are a prospective student, alumni, or current student.
  • Valuable insights: Chat history provides data for content gap analysis, helping the university fill gaps and improve its website's overall content strategy.
  • Operational efficiency: University staff can use the chatbot internally to quickly and accurately answer questions, improving efficiency during peak periods like enrolment.

The project demonstrates how powerful tools, combined with a forward-thinking approach, can transform a website from a static information source into a dynamic, intelligent engagement platform. "These tools provide that through the effective repurposing of the data," Henningson notes, "but the data they create feeds into a cycle that the agency needs to service in order to serve our clients and help them win more business."

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