Enhance blog posts' discoverability for both search engines and LLMs

[stefaniuk]

Improve the findability and accessibility of blog content for both human readers and AI systems through enhanced metadata and structured content.

Tasks

1. Jekyll Template Updates

• Add OpenGraph meta tags (og:title, og:description, og:image)
• Add Twitter Card meta tags
• Implement schema.org BlogPosting markup
• Add canonical URLs
• Ensure proper heading hierarchy (h1, h2, h3)

2. Content Structure

• Add clear TL;DR or executive summary at the start of each post
• Include table of contents for longer posts
• Structure content with clear sections and subsections
• Tag posts with relevant categories and keywords
• Add "Key Takeaways" section at the end of posts

3. Metadata Enhancement

• Create consistent meta descriptions for all posts
• Add alt text to all images
• Implement proper title tag format: {Post Title} | Dan's Engineering Journal
• Add reading time estimates
• Include last updated dates

4. Technical SEO

• Complete the robots.txt configuration
• Generate and verify sitemap.xml
• Implement JSON-LD structured data
• Verify RSS feed functionality
• Set up proper redirects for any URL changes

5. Content Optimization

• Add descriptive section headers
• Include relevant internal links between posts
• Create topic clusters for related content
• Add descriptive code block comments
• Include reference links to official documentation

6. AI/LLM Optimization

• Add clear context markers for code examples
• Include version information for all technical references
• Structure code snippets with clear input/output examples
• Add semantic HTML markup for better content parsing
• Include machine-readable metadata for technical concepts

Acceptance Criteria

• All posts pass SEO audit tools
• Structured data validates in Google's testing tool
• Content is properly indexed by search engines
• Posts are easily discoverable through related content
• Technical content is machine-readable and well-structured
• Clear separation between explanatory text and technical examples