Schema Markup for AI Citations
Structure your content for better AI comprehension and citations
🎨 What is Schema Markup?
Schema markup (also called structured data) is code that helps AI systems understand your content's context, relationships, and meaning. It's like a map that guides AI to the most important information on your page.
- • AI systems can parse content faster
- • Clear context improves citation accuracy
- • Structured data signals authority
- • FAQ/Q&A schema directly feeds AI answers
- • Author/Organization schema builds trust
- • Article (blog posts, guides)
- • FAQPage (Q&A content)
- • Organization (company info)
- • Person (author bios)
- • Product (e-commerce)
- • BreadcrumbList (navigation)
Why AI Systems Love Schema Markup
🛠️ Schema Optimization Tools
Schema Markup Generator
Generate Schema.org JSON-LD markup optimized for AI systems. Boost citation probability scores.
Question Answer Extractor
Extract Q&A pairs and generate FAQ schema. Help AI systems find structured answers.
Citation Probability Checker
Test your schema implementation. See how structured data impacts citation scores.
Quick Schema Implementation Guide
1️⃣ Choose the Right Schema Type
Select schema types that match your content (Article, FAQPage, Product, etc.). Use multiple types when appropriate.
2️⃣ Use Our Schema Generator
Our Schema Markup Generator creates valid JSON-LD code ready to paste into your pages.
3️⃣ Add to Your Page
Place the JSON-LD script in your page's <head> or before the closing </body> tag. Next.js users can add it to layout files.
4️⃣ Validate Your Markup
Use Google's Rich Results Test or Schema.org validator to ensure your markup is error-free.
5️⃣ Test Citation Impact
Use our Citation Probability Checker to see how schema improves your score.
Schema Markup Best Practices
✅ Do:
- • Use JSON-LD format (easiest for AI to parse)
- • Include all recommended properties
- • Keep schema updated when content changes
- • Add author and publisher info to Article schema
- • Use ISO 8601 format for dates
- • Test markup before deploying
❌ Avoid:
- • Schema that doesn't match visible content
- • Spammy or misleading information
- • Duplicate or conflicting schema
- • Missing required properties
- • Outdated schema formats (Microdata, RDFa)
- • Schema errors or invalid syntax