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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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