Schema Architect
Design and implement Schema.org structured data for maximum AI visibility and rich search results.
Related: Use llms-txt-builder skill for AI navigation files.
Schema Priority Matrix
High-Impact (Implement First):
| Schema Type | Use Case | AI Benefit |
|-------------|----------|------------|
| Organization | Company info | Entity recognition |
| FAQPage | Q&A content | Direct answer extraction |
| HowTo | Tutorials/guides | Step extraction |
| Article/BlogPosting | Blog content | Content attribution |
| Product | E-commerce | Product info extraction |
| BreadcrumbList | Navigation | Site structure |
Medium-Impact: Person, Review/AggregateRating, LocalBusiness, Event, Course
Implementation Templates
See references/schema-templates.yaml for JSON-LD code snippets:
- Organization schema
- FAQPage schema
- HowTo schema
- Article schema
- Product schema
Multimodal Structured Data
Include media references:
- Image objects with alt descriptions
- Video objects with transcripts
- Audio references where applicable
Workflow
- Audit existing structured data
- Identify missing high-impact schemas
- Map content types to schema types
- Generate JSON-LD code
- Validate with testing tools
- Plan maintenance schedule
Output Format
Schema Implementation Plan
--------------------------
Current Coverage: X/10
Target Coverage: Y/10
Priority Implementations:
1. Organization schema (homepage)
2. FAQPage schema (support pages)
3. Article schema (blog posts)
4. HowTo schema (tutorials)
Validation:
- Rich Results Test: [Pass/Fail]
- Schema.org Validator: [Pass/Fail]
Validation Tools
- Google Rich Results Test
- Schema.org Validator
- Structured Data Linter
Platform Integration
| Platform | Approach |
|----------|----------|
| WordPress | Yoast/RankMath schema settings |
| Next.js | next-seo configuration |
| Astro | schema components |
| Static | JSON-LD in <head> |