Docs/Schema Generator

Core Tool

Schema Generator

Create structured data markup that helps AI systems understand your content's context, entities, and relationships.

Schema Markup Overview

Schema markup (also known as structured data) is code that you add to your pages to help search engines and AI systems understand your content better. It provides explicit context about entities, relationships, and content types that might otherwise require inference.

Why Schema Matters for AI SEO

AI systems like Google's AI Overviews, ChatGPT, and Perplexity use structured data to validate and enrich their understanding of your content. Pages with proper schema markup are more likely to be cited accurately and featured prominently in AI-generated responses.

What is Schema.org?

Schema.org is a collaborative vocabulary created by Google, Microsoft, Yahoo, and Yandex. It provides a standardized set of types and properties for describing content on the web.

{ }

JSON-LD

JavaScript Object Notation for Linked Data. The recommended format by Google.

✓ Easy to implement, doesn't mix with HTML, easy to maintain

</>

Microdata

HTML attributes embedded directly in page content.

✓ Visible in source, tied to content, good for CMS

◇

RDFa

Resource Description Framework in Attributes.

✓ Flexible, extensible, works with multiple vocabularies

Common Schema Types

Schema Type	Use Case	AI Impact
Article	Blog posts, news, guides	High
Product	E-commerce products	High
FAQPage	Q&A content	High
HowTo	Step-by-step guides	High
Organization	Company information	Medium
Person	Author profiles	Medium

Basic JSON-LD ExampleJSON-LD

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to Optimize for AI Search",
  "author": {
    "@type": "Person",
    "name": "Jane Doe"
  },
  "datePublished": "2026-01-15",
  "publisher": {
    "@type": "Organization",
    "name": "LLMFY"
  }
}
</script>

✅ Schema Benefits

• Helps AI understand content context
• Enables rich snippets in search
• Improves citation accuracy
• Validates E-E-A-T signals

⚠️ Common Mistakes

• Schema doesn't match visible content
• Missing required properties
• Invalid JSON syntax
• Using wrong schema types

Article & NewsArticle Schema

Article schema is essential for blog posts, guides, and editorial content. It helps AI systems understand authorship, publication dates, and content type—critical factors for determining trustworthiness and relevance.

Article Types

📄

Article

General article type for blog posts, guides, and evergreen content.

Best for: How-to guides, tutorials, opinion pieces, general content

📰

NewsArticle

Time-sensitive news content with strict freshness requirements.

Best for: Breaking news, current events, time-bound reporting

✍️

BlogPosting

Blog-specific article type, subtype of Article.

Best for: Personal blogs, company blogs, informal content

⚙️

TechArticle

Technical documentation and how-to content.

Best for: API docs, technical guides, developer content

Required & Recommended Properties

Required

headline
image
datePublished
author

Complete Article Schema Example

Article with AuthorJSON-LD

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Complete Guide to AI SEO",
  "description": "Learn how to optimize your content...",
  "image": "https://example.com/image.jpg",
  "datePublished": "2026-01-15T08:00:00+00:00",
  "dateModified": "2026-01-20T10:30:00+00:00",
  "author": {
    "@type": "Person",
    "name": "Jane Doe",
    "url": "https://example.com/author/jane",
    "jobTitle": "Senior SEO Strategist",
    "sameAs": [
      "https://twitter.com/janedoe",
      "https://linkedin.com/in/janedoe"
    ]
  },
  "publisher": {
    "@type": "Organization",
    "name": "LLMFY",
    "logo": {
      "@type": "ImageObject",
      "url": "https://llmfy.ai/logo.png"
    }
  },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/ai-seo-guide"
  }
}

💡 Pro Tips for Article Schema

• Always include author details — AI systems weight author credibility heavily
• Keep dateModified current — Update it when you make meaningful changes
• Use sameAs for authors — Link to social profiles for identity verification
• Match headline to title — Schema headline should match your visible H1

Product & Review Schema

Product schema helps AI systems understand what you're selling, at what price, and how customers rate it. Review schema adds social proof that AI can cite when recommending products.

Product Schema Properties

Property	Description	Required
`name`	Product name	Yes
`image`	Product image URL	Yes
`description`	Product description	Recommended
`offers`	Pricing information	Yes
`aggregateRating`	Overall rating	Recommended
`review`	Individual reviews	Recommended

Complete Product Schema Example

Product with ReviewsJSON-LD

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "LLMFY Pro Plan",
  "image": "https://llmfy.ai/product-image.jpg",
  "description": "Advanced AI SEO optimization suite",
  "brand": {
    "@type": "Brand",
    "name": "LLMFY"
  },
  "offers": {
    "@type": "Offer",
    "price": "99.00",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "priceValidUntil": "2026-12-31"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.8",
    "reviewCount": "1247"
  },
  "review": {
    "@type": "Review",
    "author": {
      "@type": "Person",
      "name": "John Smith"
    },
    "datePublished": "2026-01-10",
    "reviewRating": {
      "@type": "Rating",
      "ratingValue": "5"
    },
    "reviewBody": "LLMFY transformed our SEO..."
  }
}

Review Schema Best Practices

✅ Do

• Include real customer reviews
• Update aggregateRating regularly
• Add author info to reviews
• Include review dates
• Show both positive and mixed reviews

❌ Don't

• Fake or manufactured reviews
• Self-reviews of your own products
• Hide negative ratings
• Use reviews for unrelated products
• Inflate rating counts

⚠️ Google's Review Policies

Google has strict policies about review schema. Reviews must be genuine, from real customers, and accurately represent the product. Violations can result in manual actions and loss of rich snippets. Always ensure your schema reflects real customer feedback.

FAQ & HowTo Schema

FAQ and HowTo schemas are particularly valuable for AI citation because they directly answer user questions. AI systems love this format—it's exactly how they need to present information in responses.

FAQPage Schema

Use FAQPage schema when you have a list of questions and answers on your page. This format is highly favored by AI systems for direct citation.

FAQPage SchemaJSON-LD

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is LLMO?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "LLMO stands for Large Language Model
        Optimization. It's the practice of optimizing
        content to be cited by AI systems like ChatGPT,
        Claude, and Google's AI Overviews."
      }
    },
    {
      "@type": "Question",
      "name": "How long does analysis take?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "A typical LLMFY analysis takes 20-30
        seconds depending on page size and complexity."
      }
    }
  ]
}

HowTo Schema

HowTo schema is perfect for step-by-step guides, tutorials, and instructional content. It helps AI understand the sequence and requirements of a process.

HowTo SchemaJSON-LD

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Analyze Your Content with LLMFY",
  "description": "A step-by-step guide to running
    your first AI SEO analysis",
  "totalTime": "PT5M",
  "estimatedCost": {
    "@type": "MonetaryAmount",
    "currency": "USD",
    "value": "0"
  },
  "step": [
    {
      "@type": "HowToStep",
      "name": "Enter your URL",
      "text": "Copy and paste the URL you want to
        analyze into the LLMFY dashboard.",
      "image": "https://llmfy.ai/step1.jpg"
    },
    {
      "@type": "HowToStep",
      "name": "Select analysis type",
      "text": "Choose from LLMO, E-E-A-T, Semantic,
        or Full Analysis.",
      "image": "https://llmfy.ai/step2.jpg"
    },
    {
      "@type": "HowToStep",
      "name": "Review results",
      "text": "Examine your scores and recommendations
        for improvement.",
      "image": "https://llmfy.ai/step3.jpg"
    }
  ]
}

When to Use Each Type

❓ Use FAQPage When

• You have Q&A format content
• Answering common customer questions
• Support/help pages
• Product FAQ sections
• Each question has a single, direct answer

📋 Use HowTo When

• Content follows sequential steps
• Teaching a process or skill
• Tutorials and guides
• DIY or instructional content
• Content has clear start and end

🎯 AI Citation Tip

FAQ and HowTo schemas are citation magnets for AI systems. When an AI needs to answer a question or explain a process, it looks for exactly this structure. Pages with these schemas are:

3x more likely to be citedFeatured in AI OverviewsHigher snippet visibility

Generate Schema for Your Pages

Use LLMFY's Schema Generator to automatically create optimized structured data for your content.

Open Schema Generator