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Before: Ineffective SEO Efforts

  • Random keyword targeting without data
  • Slow page loads hurting rankings
  • Poor site architecture confusing crawlers
  • Manual processes that don't scale
  • No measurable engineering impact

After: Engineering-Driven SEO

  • Data-backed keyword strategy
  • Optimized core web vitals
  • Crawl-efficient site architecture
  • Automated optimization workflows
  • Clear ROI from technical improvements

Final Summary: Key Takeaways

  • Treat SEO as an engineering problem with measurable inputs/outputs
  • Focus on technical fundamentals: speed, architecture, and crawlability
  • Implement automated testing and monitoring for SEO metrics
  • Measure ROI through engineering contribution to organic growth

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