Schema markup is structured code added to a website to help search engines and AI systems understand the meaning of the content — not just the words. It's based on the Schema.org vocabulary, a shared standard maintained by Google, Microsoft, Yahoo, and Yandex.
While the terms "schema markup" and "structured data" are often used interchangeably, schema markup specifically refers to the use of the Schema.org vocabulary, which can be implemented in several formats (JSON-LD, Microdata, RDFa).
The Most Common Implementation: JSON-LD
JSON-LD (JavaScript Object Notation for Linked Data) is the recommended format. It's added as a <script> tag in the <head> of an HTML page and doesn't interfere with visible page content:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Austin Plumbing Co.",
"telephone": "+1-512-555-0100",
"address": {
"@type": "PostalAddress",
"streetAddress": "123 Main St",
"addressLocality": "Austin",
"addressRegion": "TX"
},
"openingHours": "Mo-Fr 08:00-18:00",
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.8",
"reviewCount": "127"
}
}
</script>
Key Schema Types for Businesses
| Schema Type | Use Case |
|-------------|---------|
| LocalBusiness | Physical location businesses |
| Organization | Companies and brands generally |
| Product | Physical or digital products |
| Service | Services offered |
| FAQPage | Frequently asked questions |
| HowTo | Step-by-step guides |
| Article | Blog posts and guides |
| BreadcrumbList | Site navigation hierarchy |
| Review / AggregateRating | Customer reviews and ratings |
Why Schema Markup Matters for AI Visibility
AI systems that use web retrieval (Perplexity, ChatGPT Search, Google AI Overviews) parse schema markup directly. When they encounter a page with proper schema:
- They can extract business information with high confidence, without needing to interpret ambiguous prose
- They can cite specific attributes (hours, address, services) accurately
- They understand the relationships between entities (this business offers these services, has these reviews, is located here)
Without schema, AI systems must infer all of this from plain text — and they often get it wrong or miss it entirely.
Auto-Generating Schema with Scope
Scope's Schema Pack automatically generates the correct JSON-LD markup for your specific business type, including all relevant schema types and your current business data. See the installation guide for how to install it.
Q: Does schema markup directly impact Google search rankings? A: Schema markup can enable "rich results" (star ratings, FAQ dropdowns, breadcrumbs) in Google search, which improve click-through rates. It doesn't directly boost rankings, but the rich results it enables can significantly improve search performance. For AI visibility, schema is a more direct factor.
Q: How do I check if my schema is installed correctly? A: Use Google's Rich Results Test (search.google.com/test/rich-results) — paste your URL and it will show all detected schema types and any errors. Scope's verification tool also checks this automatically after you install your Schema Pack.