Schema Generator Playbook
Generate valid JSON-LD structured data for rich snippets and AI search visibility
Structured data is the bridge between your content and search engines. When implemented correctly, Schema.org markup enables rich snippets (FAQ dropdowns, star ratings, how-to steps) and helps AI systems like SearchGPT and Perplexity understand and cite your content.
Seenos Schema Generator analyzes your page content and generates valid, copy-paste ready JSON-LD markup. No more manual schema writing or validation errors—get rich snippet-eligible markup in seconds.
What You Get
- Valid JSON-LD markup - Ready to paste into your page's <head>
- Rich result eligibility - Analysis of which schemas can win SERP features
- Multiple schema types - FAQ, Article, Product, HowTo, LocalBusiness, Review
- All required properties - Complete markup that passes Google validation
- Implementation guide - Where to place code and how to test
Why Schema Markup Matters #
Structured data provides three major benefits:
1. Rich Snippets in Search Results
Schema markup enables enhanced search results that stand out:
- FAQ dropdowns - Questions and answers expand directly in search
- Star ratings - Product and review ratings display
- How-to steps - Numbered instructions in carousel format
- Price and availability - Product information at a glance
2. AI Search Optimization
AI search engines (Perplexity, SearchGPT, Claude) use structured data to understand content more accurately, increasing citation likelihood.
3. Knowledge Graph Presence
Organization and LocalBusiness schemas can contribute to Knowledge Panel appearances.
How Schema Generator Works #
Phase 1: Page Analysis
Seenos extracts and analyzes your page content to identify schema opportunities:
- Content type (article, product, FAQ, how-to)
- Existing schema markup (to avoid duplicates)
- Key entities that can be marked up
Phase 2: SERP Analysis
The AI checks current SERP features for your target keywords to identify:
FAQ Opportunities
If PAA exists, FAQ schema can win dropdown real estate
HowTo Eligible
Step-by-step content can win carousel snippets
Review Snippets
Product/review pages can display star ratings
Article Features
News/blog content can win article rich results
Phase 3: Schema Generation
Valid JSON-LD is generated with all required Schema.org properties:
- @context and @type declarations
- All required properties for the schema type
- Recommended properties for enhanced results
- Proper nesting for complex schemas
Try It Now #
Start with this prompt
Generate schema markup for this page: [YOUR URL] I want to win rich snippets for: - FAQ schema (if Q&A content exists) - Article schema (for blog posts) - [Other schema types as relevant] Provide copy-paste ready JSON-LD code.
For example:
Real Example
Generate schema markup for: https://example.com/blog/best-seo-tools The page has: - A comprehensive article about SEO tools - FAQ section at the bottom - Comparison table of products Generate Article + FAQ schema for rich snippet eligibility.
Figure 1: Schema Generator analyzing content and creating valid JSON-LD
Example Output #
FAQ Schema Example
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is the best SEO tool?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The best SEO tool depends on your needs.
For comprehensive analysis, Semrush is top-rated..."
}
},
{
"@type": "Question",
"name": "How much do SEO tools cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "SEO tools range from free (Google Search Console)
to $100-500/month for enterprise solutions..."
}
}
]
}
</script>Supported Schema Types
| Type | Use When | Rich Result |
|---|---|---|
| FAQPage | Q&A content on page | FAQ dropdowns |
| HowTo | Step-by-step instructions | How-to steps |
| Article | Blog posts, news | Article info |
| Product | E-commerce pages | Price, rating |
| LocalBusiness | Location pages | Business info |
| Review | Reviews/ratings | Star ratings |
Best Practices #
1. Schema Must Match Visible Content
Google requires schema markup to reflect content actually visible on the page. Don't add FAQ schema for questions not displayed to users.
2. Test Before Deploying
Always validate generated schema with Google's Rich Results Test before publishing. The tool verifies syntax and eligibility.
3. One Page, Multiple Schemas
You can include multiple schema types on one page (e.g., Article + FAQ). Use separate script blocks or combine in an array.
4. Keep Schema Updated
When content changes (new questions, updated dates), update schema accordingly.
Common Pitfalls to Avoid #
⚠️ What to Watch Out For
- Missing required properties - Each schema type has mandatory fields
- Invalid JSON syntax - Single missing comma breaks the entire schema
- Schema/content mismatch - Marking up content that isn't visible violates guidelines
- Deprecated types - Some schema types no longer produce rich results
Frequently Asked Questions #
Where do I place the JSON-LD code?
Add the <script type="application/ld+json"> block in your page's <head> section. Multiple schema blocks can coexist.
Will schema guarantee rich snippets?
No. Schema makes you eligible for rich results, but Google decides whether to display them based on relevance, query, and competition.
How do I test my schema?
Use Google's Rich Results Test (search.google.com/test/rich-results) and Schema.org Validator (validator.schema.org).
Does schema help with AI search?
Yes. AI systems use structured data to understand content more accurately. Well-marked content is more likely to be cited correctly.
Related Playbooks #
- SEO Auditor Playbook - Audit existing schema implementation
- GEO Auditor Playbook - Optimize for AI search visibility
- Meta Tags Playbook - Complete meta tag optimization
- SERP Analyst Playbook - Analyze rich results in SERPs
Product Manager at Seenos.ai. Pioneer in AEO research since 2024, exploring the convergence of SEO and GEO (Generative Engine Optimization). Led multiple AI-powered content optimization projects that achieved 300%+ citation increases in ChatGPT and Perplexity.