I am building a documentation site in Jekyll with the Minimal Mistakes theme, and GitHub Copilot has been my development partner. This post explains a complete, repeatable process for technical writers to use AI to generate SEO-friendly docs, navigation, and site architecture.

What I did with Copilot

  • Built and enriched the S-Docs section with user manual, configuration guide, API docs, release notes, quick start, quick installation, troubleshooting, and new feature docs.
  • Added InfoDev Uni learning content for markup comparison, XML/DITA basics, and structured authoring concepts.
  • Created a dedicated S-Docs landing page at /S-Docs/ with meaningful internal links and a strong SEO title/description for high visibility.
  • Standardized UI by setting toc: true and sidebar: nav across all documentation pages except homepage.
  • Implemented a hierarchical sidebar tree in _data/navigation.yml, including nested “AcmeTasker (sample docs)” entries.

How Copilot improves technical documentation productivity

  • Generates first-pass drafts for headings, paragraphs, and lists based on prompts (e.g., “create user manual steps for task management software”).
  • Suggests consistent, keyword-rich content for title, description, and long-form text (which boosts SEO indexability).
  • Helps detect and fix invalid characters in markdown, ensuring Jekyll compliance and UTF-8 stability.
  • Accelerates navigation schema updates (validate _data/navigation.yml format, add new pages, keep permalinks synchronized).

Technical SEO checklist implemented

  1. unique page titles and meta descriptions (title, description, keywords in front matter)
  2. clean, semantic headings (h1/h2/h3) and an “On this page” local TOC section
  3. proper canonical paths through permalink values and consistent sidebar URLs
  4. internal links to key sections and site sections (InfoDev Uni, S-Docs, Beyond InfoDev)
  5. markdown content that is clear, scannable, and keyword-optimized

Best practices for writer+AI collaboration

  1. treat Copilot output as draft content, then refine for accuracy and voice.
  2. maintain format consistency in YAML front matter and use theme-ready flags (toc, sidebar, layout).
  3. preserve reusable text patterns and scaling with template snippets (for guides, checklists, API endpoints).
  4. run bundle exec jekyll build regularly to catch syntax or navigation regressions.

Final verification step

  • Start local server: bundle exec jekyll serve
  • Validate pages:
    • / (homepage)
    • /S-Docs/ (landing)
    • /S-Docs/introduction/
    • /S-Docs/user-manual/, etc.
    • /Blogs/using-copilot-for-docsite/
  • Confirm sidebar tree includes S-Docs section and InfoDev Uni entries.
  • Check the HTML for meta tags and ensure the content appears in the rendered page as expected.

By doing this, you can replicate an AI-assisted docsite workflow that is structured, maintainable, and optimized for search engines and human readers.