Structured Data Markup
Learn how to implement schema.org markup that helps AI search engines understand your content structure, entities, and relationships for better visibility in LLM-powered search results. Combine this technical approach with our comprehensive SEO services for complete search dominance.
Key Takeaways
AI search engines favour JSON-LD structured data because it's easier to parse, maintain, and understand than other markup formats
FAQ schema provides direct question-answer pairs that AI search engines can easily extract and use in their responses
Comprehensive organisation schema helps AI systems understand your business entity and establish credibility in search results
It's better to implement a few schema types perfectly than many schema types poorly - AI values accuracy and completeness
Proper structured data markup powers enhanced search features and helps AI generate more informative, context-rich responses
Regularly testing structured data markup with Google's tools ensures AI systems can properly parse and understand your content
What is Structured Data?
The foundation of AI search optimisation
Structured data markup is code that provides context about your content to search engines and AI. It transforms your HTML into a format that machines can understand, identifying entities, relationships, and content types.
LLMs can better interpret your content's meaning and relationships
Higher chance of appearing in AI search results and recommendations
Powers enhanced search features and AI answer generation
Schema.org Vocabulary
Priority Schema Types for AI Search
Focus on these schema types for maximum AI search impact
Key Benefits:
- Direct AI answers
- Featured snippets
- Voice search optimisation
Key Benefits:
- Entity recognition
- Local search
- Brand authority
Key Benefits:
- Content classification
- Author authority
- Topic clustering
Key Benefits:
- Shopping results
- Price comparison
- Review display
Key Benefits:
- Event listings
- Calendar integration
- Local discovery
Key Benefits:
- Trust signals
- Social proof
- Rating display
JSON-LD Implementation Examples
Copy-paste ready code for your website
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is AI search optimisation?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AI search optimisation involves optimising content for AI-powered search engines like ChatGPT, Claude, and Perplexity to improve visibility in AI-generated responses."
}
},
{
"@type": "Question",
"name": "How does structured data help with AI search?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Structured data helps AI understand the context, relationships, and meaning of your content, making it more likely to be referenced in AI search results."
}
}
]
}
</script><script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organisation",
"name": "Spruik Digital",
"url": "https://spruik.co",
"logo": "https://spruik.co/spruik-logo-white.png",
"description": "AI-powered digital marketing agency specialising in SEO, automation, and advanced marketing strategies.",
"address": {
"@type": "PostalAddress",
"addressLocality": "Melbourne",
"addressRegion": "VIC",
"addressCountry": "AU"
},
"contactPoint": {
"@type": "ContactPoint",
"telephone": "+61434349454",
"contactType": "customer service"
},
"sameAs": [
"https://twitter.com/spruikco",
"https://linkedin.com/company/spruikco"
]
}
</script>Structured Data Implementation Checklist
Pro Tip
Focus on accuracy over quantity. It's better to have 3 perfectly implemented schema types than 10 poorly implemented ones. AI search engines value precision and correctness.
Schema Generation & Validation Tools
Ready to Implement Structured Data?
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