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Case Study: From Errors to AI Ready in 30 Days

The Starting Point

A healthy website is not only about content and design. It is also about making sure search engines and AI assistants can understand and present that content. During a recent audit, we discovered hundreds of hidden issues quietly holding a project site back. By addressing them systematically, we improved its overall health score from 78% to 93% in just 30 days, making the site more visible to both Google and AI chatbots.

Strong site health is the foundation for better user experience and greater visibility in both search engines and AI assistants.

The Challenge

The project site looked fine on the surface, but behind the scenes there were major obstacles: broken links, missing resources, blocked pages, and inconsistent metadata. Altogether, more than 700 issues were affecting crawlability, performance, and content clarity.

Line chart showing site health improving from 78 percent to 93 percent and total issues decreasing from 720 to 329 between August 2 and September 3.
In 30 days, site health improved from 78% to 93% while total issues dropped from 720 to 329.

The Approach

We applied our proven methodology to identify, prioritize, and resolve issues quickly:

  • Critical fixes: Repaired broken links, restored missing resources, and corrected sitemap errors.
  • Structural improvements: Updated metadata, streamlined headings, and improved how content is organized for both users and crawlers.
  • Future-ready enhancements: Added structured data (Schema) to make key content machine-readable and implemented llms.txt, an emerging standard designed to help large language models (LLMs) interpret websites more effectively.
  • Ongoing monitoring: Set up recurring audits to maintain health and catch new issues before they escalate.

The Results

In just one month, the site saw a complete turnaround:

  • 443 issues resolved across critical and structural categories
  • Site health score improved from 78% to 93% (+15%)
  • Critical issues reduced by 99 percent, nearly eliminating all errors.
  • Performance, crawlability, and markup all improved to 95 percent or higher
  • AI-readiness boosted with Schema and llms.txt, ensuring content is clearer to both search engines and AI assistants
Dashboard card showing site health at 93 percent, up 15 points, and errors reduced from 411 to 1 within 30 days.
In one month, we boosted site health from 78% to 93% while reducing errors by 99%.

Key Takeaway

Technical SEO is more than just fixing errors. It is about building a foundation that ensures content is discoverable, trustworthy, and accurately represented wherever people search for answers. By combining technical cleanup with future-ready enhancements like Schema and llms.txt, we transformed a struggling site into a search-ready and AI-ready digital asset in just 30 days.

In a world where users increasingly turn to Google and AI chatbots for answers, strong technical foundations make the difference between being overlooked and being featured.

👉 To learn more about how websites are shifting from traditional search toward large language models, read our article on the future of search. And if you’d like to see how your own site performs in this new landscape, explore our AI Visibility Report.