TAXONOMY DESIGN 01
Semantic Information Architecture
Restructured category hierarchies and URL paths allowing search engine crawlers to discover and index all core pages.
Case Study - SEO & Discoverability
Technical SEO & Semantic Knowledge Architecture
A comprehensive technical SEO and information architecture overhaul to unlock search visibility for extensive educational programs and career resources.
01. The Challenge
What needed to be solved.
Rich educational course material remained undiscoverable by search engines due to legacy URL structures, missing semantic data, and disconnected internal navigation.
02. Our Approach
How we planned and structured the solution.
- 01
Audited the existing site structure and designed a clean, hierarchical URL taxonomy matching user search intent.
- 02
Engineered comprehensive JSON-LD structured data schemas across all course categories, modules, and organization pages.
- 03
Constructed an automated internal linking graph connecting related training tracks, career outcomes, and advisory resources.
- 04
Resolved code-level technical crawl errors, broken redirects, and mobile Core Web Vitals bottlenecks.
03. The Work
Key technical and design components delivered.
STRUCTURED DATA 02
JSON-LD Entity Graph
Complete schema implementation enabling rich snippet eligibility across Google and modern AI answer engines.
TECHNICAL AUDIT 03
Crawl & Speed Remediation
Full resolution of legacy redirect loops, orphan pages, and mobile performance bottlenecks.
04. The Outcome
Measurable operational impact and delivered assets.
Search engines indexed the complete course catalog within weeks, resulting in substantial organic visibility growth and higher qualified candidate enquiries.
Client Handoff Package
- 01
Comprehensive technical SEO audit and code-level remediation report
- 02
Semantic HTML5 structure and JSON-LD schema implementation
- 03
Complete redirect map preserving historical search authority
- 04
Ongoing organic performance tracking framework
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