Content Intelligence
Schema Markup
Structured data code added to web pages that helps search engines understand content meaning, relationships, and entities.
Schema markup is structured data code added to web pages that helps search engines understand the content's meaning, entities, and relationships. It uses the Schema.org vocabulary and is typically implemented in JSON-LD format.
Common schema types include Article, Product, FAQ, HowTo, Organization, and LocalBusiness. Proper schema markup can enhance search appearance with rich snippets, improve click-through rates, and help AI systems better understand and cite your content.
Beyond traditional SEO benefits, schema markup is increasingly important for AI visibility. LLMs and AI search engines use structured data to understand content context and relationships, making it more likely your content will be accurately represented in AI responses.
Example: Adding FAQ schema to your product page might display expandable Q&A directly in Google search results, increasing visibility and click-through rates.
In SeCoFlow: SeCoFlow analyzes your pages for schema opportunities and provides recommendations for implementing structured data that improves both search visibility and AI citation potential.