Schema Markup
Learn how Schema.org markup helps AI understand your business. Implement the right schema types to improve AI recommendations and citations.
What Is Schema Markup?
Schema markup is a semantic vocabulary (Schema.org) that you add to your website's HTML to help search engines and AI systems understand the meaning behind your content. It provides explicit context about your business, products, services, and content.
For AI visibility, schema markup is like giving AI a structured database of facts about your business. Instead of parsing paragraphs of text, AI can directly access your business name, address, services, pricing, reviews, and credentials in a clean, machine-readable format.
The right schema markup ensures AI systems never misrepresent your business — getting prices right, listing correct services, and attributing proper credentials.
Real Example: Service Schema Implementation
A plumbing company added Service schema for each of their 12 service types (drain cleaning, water heater repair, etc.) with pricing ranges and service areas. AI assistants began providing accurate service-specific recommendations: 'For water heater repair in [area], [company] offers service starting at $150 with same-day availability.'
Why It Matters for Your Business
Schema markup directly feeds AI knowledge graphs. Without it, AI guesses about your business — and guesses can be wrong. With proper schema, AI accurately represents your services, prices, and credentials to potential customers.
Frequently Asked Questions
See How Schema Markup Affects Your AI Visibility Score
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