Key Responsibilities
1. Build & Maintain GEO Content Architecture
Develop multi-layer semantic clusters around strategic topics.
Create “hub sub-hub cluster spoke” content structures.
Ensure all content reinforces VE’s expertise in niche verticals (e.g., deep tech, medical,
cloud, engineering).
2. Optimize Content for LLM Retrieval
Structure content so LLMs can easily segment and embed it.
Ensure clean semantic separation between case studies, testimonials, and cluster pages.
design “priming content” that shapes how AI models interpret our brand.
Implement entity linking and structured metadata.
3. Build VE’s LLM Knowledge Graph
Create consistent entity references across all pages (company, sub-brands, verticals,
roles).
Strengthen role/category-specific topical authority.
Map relationships between roles, industries, services, and examples.
4. Create High-Authority, High-Depth Content
Produce or guide deep content on niche roles (e.g., FPGA, AUTOSAR, FHIR, FinOps).
Work with SMEs to convert expertise into LLM-friendly content.
5. Analyse LLM Behavior & Tune Content Accordingly
Test how ChatGPT, Gemini, Claude answer queries related to:
– outsourcing
– niche engineering roles
– VE case studies
– niche capabilities
– domain-specific hiring
Reverse-engineer gaps and re-design content to fill them.
6. Implement Schema & Structural Enhancements
Use schema (Article, Person, Organization, Review, FAQ, HowTo, Service).
Improve entity clarity and canonical meaning.
7. Cross-Team Collaboration
Work with content writers to maintain semantic consistency.
Guide technical writers on structuring case studies for LLM ingestion.
Collaborate with SEO, PPC, and AI teams for unified impact.
