Hub-Spoke Content
Hub-spoke content is a topic cluster structure with 1 comprehensive hub page covering a main topic broadly, and multiple spoke pages covering subtopics in depth. This structure signals comprehensive topic coverage to AI systems.
Definition
Hub-spoke content is a content organization strategy that structures related content around a central hub page. The hub page (typically 2000+ words) provides a comprehensive overview of the main topic, covering all major subtopics at a high level. Spoke pages (typically 1500+ words each) dive deep into specific subtopics mentioned in the hub. The structure is connected through strategic internal linking: the hub links to all spokes, spokes link back to the hub, and related spokes link to each other. This structure helps AI systems understand that you have comprehensive topic coverage, demonstrating topical authority. Hub-spoke content is particularly effective for AI citations because it shows both breadth (hub) and depth (spokes) of knowledge on a topic.
Examples
Hub: "Complete Guide to AI Citation Optimization" → Spokes: "Schema Markup", "E-E-A-T Signals", "Internal Linking", "Content Freshness", etc.
Hub: "React Development Guide" → Spokes: "React Hooks", "State Management", "Component Architecture", "Performance Optimization", etc.
Hub: "SEO Fundamentals" → Spokes: "Keyword Research", "On-Page SEO", "Link Building", "Technical SEO", etc.
How to Apply
- 1.Create 1 comprehensive hub page (2000+ words) covering the main topic broadly
- 2.Identify 8-15 subtopics that deserve detailed spoke pages (1500+ words each)
- 3.Link hub page to all spoke pages in relevant sections
- 4.Link spoke pages back to hub page in introduction or conclusion
- 5.Link related spoke pages to each other where contextually relevant
- 6.Maintain consistent terminology and definitions across hub and spokes
Related Tools
Related Tools
Complement your analysis with these AI citation optimization tools: