Schema markup for AI

How structured data helps AI tools understand and recommend your business.

Schema markup (also called structured data) is code you add to your website that helps machines — including AI tools — understand what your business does, where it's located, what services you offer, and what customers say about you.

Why AI tools care about schema

When ChatGPT or Perplexity generates a recommendation, it needs to understand facts about your business: your name, address, opening hours, services, prices, and reviews. Schema markup provides this information in a standardized format that AI can parse instantly, rather than trying to extract it from unstructured text.

Most impactful schema types for AI

LocalBusiness or Organization — Tells AI your business name, address, contact info, and category. Essential for local recommendations.

FAQPage — Marks your FAQ content as structured Q&A data. AI tools love this because it matches exactly how users ask questions.

Product — For e-commerce, this tells AI about specific products, prices, and availability.

Review/AggregateRating — Connects your customer ratings to your business identity. High-rated businesses get recommended more.

Service — Describes specific services you offer with descriptions and pricing.

How to implement

Schema markup is added as JSON-LD in your page's HTML head section. You can generate it manually, use a WordPress plugin like Yoast or RankMath, or use VisibAI's generated schema files (available on Starter plan and above). The key is making sure the schema is valid — use Google's Rich Results Test tool to verify.

Impact on AI visibility

Adding proper schema markup can improve AI citation rates by up to 40% according to our analysis of audit results. It's one of the highest-impact, lowest-effort changes you can make.