Formatted markup that helps machines understand content on web pages.
Structured data is code (typically in JSON-LD, Microdata, or RDFa format) added to web pages to help machines understand content. This includes Schema.org markup for products, organizations, FAQs, reviews, and more. Structured data helps both search engines and AI systems accurately understand and categorize your content. Proper structured data implementation improves how AI comprehends and represents your brand.
We implement structured data that helps AI systems accurately understand your brand, products, and value propositions.
Structured data provides explicit signals about what your content means. AI systems can use this to more accurately understand your offerings and recommend appropriately.
Organization schema declaring company details
Product schema describing offerings and prices
FAQ schema providing question-answer pairs AI can reference
Structured data helps AI systems understand your content more accurately. While not the only factor, it contributes to better representation in AI responses.
Organization, Product, FAQ, and Review schemas are particularly valuable for AI visibility. The specific types depend on your business.
Learn how to implement Product, Organization, FAQ, Review, and BreadcrumbList schema markup on your Shopify store to maximize visibility in ChatGPT, Perplexity, and other AI search platforms.
Discover the top Shopify apps that help your store get recommended by ChatGPT, Perplexity, and Google Gemini. Detailed reviews of schema markup apps, review platforms, SEO tools, and content optimization solutions with implementation tips.
Learn how to leverage Shopify metafields to add structured product data that improves AI recommendations. Covers metafield types, use cases, display methods, and schema markup integration.
Get a free audit to see how your brand appears across ChatGPT, Claude, Perplexity, and other AI platforms.