Case Study

Website Search vs Page-Specific AI Assistant

The Challenge

Law firms and professional service websites often contain vast amounts of content spread across numerous blog posts and service pages. Visitors struggled to quickly find specific information relevant to their needs without reading through extensive content.

The Initial Solution

We developed a WordPress plugin that created a site-wide chatbot with knowledge of all content across the website. This allowed users to ask questions and receive answers drawn from anywhere on the site, eliminating the need to manually search through different blog posts.

The Evolution

While the site-wide search proved valuable and helped clients land new business, we identified an opportunity to enhance the user experience by understanding the typical user journey. Most visitors arrived at specific pages via search engines, having already narrowed down their topic of interest.

The Refined Approach

We pivoted to create page-specific embedded assistants that focused exclusively on the content of individual pages. This allowed users to ask nuanced questions about the specific topic they were already reading about, without needing to digest lengthy blog posts.

The Results

Higher engagement metrics with page-specific assistants compared to the site-wide version

  • More relevant and contextual responses that directly addressed users' immediate needs

  • Seamless integration into the natural user workflow

  • Improved conversion rates as visitors could quickly extract exactly what they needed

The Lesson

This case perfectly demonstrates our core philosophy of "How can AI work for me?" Rather than imposing technology for its own sake, we observed actual user behavior and tailored the AI solution to fit naturally into existing workflows. The most effective AI implementations often aren't the most comprehensive ones, but rather those that solve specific problems at precisely the moment users need assistance.

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