Structured Data
What is structured data and how does it help AI search engines understand your content?
What is structured data?
Structured data is machine-readable markup (typically JSON-LD using the Schema.org vocabulary) embedded in your page's HTML that explicitly describes the content's type, properties, and relationships. It tells search engines and AI systems exactly what your content is — an article, a product, a recipe, an FAQ — rather than requiring them to infer it from unstructured text.
Structured data is machine-readable JSON-LD markup using the Schema.org vocabulary embedded in a page's HTML that explicitly describes the content's type, properties, and relationships. It enables rich snippets in search results and makes content significantly more likely to be cited by AI search engines like ChatGPT and Perplexity.
Why does structured data matter?
AI search engines and large language models rely heavily on structured signals to extract accurate, attributable facts from web pages. Pages with proper structured data are more likely to be cited in AI-generated answers, featured in rich snippets, and used as source material by tools like ChatGPT and Perplexity. Without structured data, your content competes at a disadvantage against pages that make their information machine-readable.
Pages with structured data markup see an average 30% higher click-through rate in search results due to rich snippet enhancements.
Only 33.5% of websites use any form of structured data markup, leaving a significant competitive advantage for those that implement it.
How to fix it
- Add JSON-LD structured data in a <script type="application/ld+json"> block in the <head> of every page. Choose the most specific Schema.org type for your content (Article, Product, LocalBusiness, FAQPage, etc.).
- Include essential properties for your chosen type. For Article: headline, author, datePublished, dateModified, publisher, and image. For Product: name, description, price, availability.
- Validate your structured data using Google's Rich Results Test and the Schema.org validator to ensure there are no syntax errors or missing required fields.
- Keep structured data synchronized with visible page content. If your JSON-LD says the price is $99 but the page shows $149, this inconsistency can result in penalties.
- Add Organization and WebSite schema to your homepage and BreadcrumbList schema to interior pages for a complete knowledge graph signal.
Bad seed, good seed.
<!-- No structured data — search engines and AI must guess the content type -->
<article>
<h1>How to Fix Color Contrast</h1>
<p>By Jane Smith, published January 15, 2025</p>
</article><script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "How to Fix Color Contrast",
"author": {
"@type": "Person",
"name": "Jane Smith",
"url": "https://eiseo.com/team/jane-smith"
},
"datePublished": "2025-01-15",
"dateModified": "2025-02-20",
"publisher": {
"@type": "Organization",
"name": "eiSEO",
"logo": "https://eiseo.com/logo.png"
}
}
</script>Frequently asked questions
Does structured data directly improve rankings?
Structured data is not a direct ranking factor, but it enables rich snippets and knowledge panels that dramatically improve click-through rates. It also makes your content more likely to be cited by AI search engines.
Should I use JSON-LD or Microdata for structured data?
Google recommends JSON-LD as the preferred format. It is easier to implement (added to the <head> without modifying page HTML), easier to maintain, and less prone to errors than Microdata or RDFa.
What Schema.org types should I start with?
Start with Organization on your homepage, Article or BlogPosting for content pages, BreadcrumbList for navigation, and FAQPage for any page with questions and answers.
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