Algorithmic Content Optimization
In the digital age, content is only as good as its visibility. This technical course teaches students how to “speak the language of the machine.” Students will learn to reverse-engineer the ranking signals of major search engines (SEO) and social media discovery engines (TikTok/YouTube). The curriculum focuses on data-driven creativity, A/B testing, and optimizing content metadata to maximize organic reach.
§ 01 By the end you can
- Master Search Engine Optimization (SEO) including On-Page, Off-Page, and Technical SEO
- Analyze social media algorithms to understand "Virality Factors" (Watch time, CTR)
- Conduct Keyword Research to identify high-value content gaps
- Optimize metadata, schema markup, and alt-text for machine readability
- Utilize analytics tools (Google Search Console, Semrush) to iterate strategy
§ 02 Sixteen sessions
The whole semester.
- 01The Algorithmic Landscape: Search vs. Discovery
- 02Keyword Research & User Intent Analysis
- 03On-Page SEO: Headlines, Headers, & density
- 04Technical SEO: Site Speed & Mobile Friendliness
- 05Off-Page SEO: Link Building Strategies
- 06Understanding SERP Features (Snippets/Panels)
- 07Image & Video Optimization for Search
- 08 · MidtermMidterm Examination
- 09YouTube SEO: Tags, Titles, and Retention
- 10Social Algorithms: The TikTok "For You" Page
- 11Optimizing for Voice Search & AI Assistants
- 12Local SEO: Google Business Profiles
- 13A/B Testing Content Variations
- 14Content Refreshing: Updating Old Content
- 15AI-Generated Content & SEO Penalties
- 16Final Project: The Optimization Audit
Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.
§ 03 Final project
Final Project: The Optimization Audit
Recommended reading
- The Art of SEO by Eric Enge, Stephan Spencer, and Jessie Stricchiola
- Product-Led SEO by Eli Schwartz
- YouTube Secrets by Sean Cannell and Benji Travis
- Traffic Secrets by Russell Brunson
- Google SEO Starter Guide (Official Documentation)
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