I build SEO-driven content systems that scale. My approach combines search research, editorial planning, and performance analysis to help teams publish the right content at the right time and continuously improve results. Rather than treating SEO as a one-time checklist, I focus on repeatable workflows that support long-term organic growth, user engagement, and business goals.
All examples and frameworks below are generalized and anonymized to protect past employers.
1. SEO and Opportunity Research
This phase identifies what to publish and why, using search data and competitive insights to guide decisions.
Keyword and Content Audit
I review existing content to understand performance, uncover optimization opportunities, and establish a baseline for improvement. This includes identifying pages with strong impressions but weaker rankings or engagement and evaluating alignment between search intent and content.
Outputs
- Prioritized list of pages for refresh, consolidation, or expansion
- Baseline performance benchmarks for future measurement
Keyword Gap Analysis
I analyze keyword coverage across the competitive landscape to surface high-value topics that are missing or underrepresented. Opportunities are evaluated based on intent, feasibility, and relevance to business goals.
Outputs
- High-value keyword opportunities mapped to topic clusters and intent
- Net-new content ideas aligned with strategic priorities
Competitor and SERP Research
I study top-ranking content to understand what performs well in search results, including structure, depth, format, and positioning. Insights from this analysis inform how content can be differentiated and improved.
Outputs
- SERP insights that guide content structure and positioning
- Clear differentiation opportunities for new or updated content
AI-Assisted Topic Ideation
I use AI tools to accelerate topic expansion and outline development, while validating all ideas against real search data. This approach supports scale while maintaining quality, originality, and intent alignment.
Outputs
- Vetted topic backlog validated by search data
- SEO-informed outlines ready for editorial planning
2. Content Planning and Editorial Calendar
This phase turns research into a cohesive publishing plan that balances impact, consistency, and audience interest.
Topic Prioritization
Topics are prioritized based on search intent, traffic potential, competitive feasibility, business alignment, and seasonality. This ensures focus on content with the highest potential impact.
Outputs
- Ranked topic list based on impact and feasibility
- Quarterly content priorities aligned with business goals
Editorial Balance and Content Mix
I plan content to maintain variety and long-term engagement. This includes balancing evergreen and timely topics, rotating formats, and spacing related themes to avoid repetition or fatigue.
Outputs
- Structured editorial calendar with a balanced content mix
- Clear guidelines for topic spacing and format variation
3. Content Production, Launch, and Optimization
This phase focuses on execution quality and continuous improvement.
Content Preparation and Collaboration
I create clear, SEO-informed briefs that outline intent, structure, and quality expectations. I collaborate with writers and subject-matter experts to ensure content is accurate, useful, and aligned with brand voice.
Outputs
- SEO-informed content briefs with intent and structure
- Editorial templates and writer guidelines
Editing, Publishing, and Launch
Content is edited for clarity, accuracy, consistency, and search optimization. This includes optimizing titles, headers, internal linking, and metadata before publishing.
Outputs
- Published, optimized content meeting editorial and SEO standards
- Consistent execution of launch and optimization checklists
Performance Tracking and Experimentation
I monitor performance trends across rankings, traffic, engagement, and conversions. Insights from this data inform ongoing experiments and iterative improvements.
Outputs
- Ongoing performance insights across key metrics
- Experiment learnings that inform future content decisions
4. Continuous Improvement and Scale
The goal of this system is to build durable processes rather than one-off wins. I document workflows, refresh high-performing content to maintain visibility, and continuously refine strategy based on user behavior and search trends.
Outputs
- Iterative content improvements driven by performance trends
- Documented workflows that support consistent execution at scale