Which schema types matter most for AI search?
Organization, Product, FAQPage, Article, BreadcrumbList, and HowTo are the most impactful for AI citation readiness.
schema markup for AI search
Learn how structured data and schema markup help AI answer engines understand, categorize, and cite your B2B website content.
Direct answer
Many B2B websites have no schema markup, or have generic markup that does not help AI systems understand products, services, FAQs, and organizational entities. This page explains what to check, what to fix, and how to prioritize. If your website serves English B2B buyers, the recommendations below apply directly to your priority pages.
What to do
Important considerations
Who this is for
Many B2B websites have no schema markup, or have generic markup that does not help AI systems understand products, services, FAQs, and organizational entities.
Audit deliverables
FAQ
Organization, Product, FAQPage, Article, BreadcrumbList, and HowTo are the most impactful for AI citation readiness.
No, but it significantly improves the chances by helping AI systems understand your content structure and entities.
Yes. The audit provides specific implementation guidance, and many schema types can be added with standard JSON-LD blocks.
Related resources
Find out whether ChatGPT, Perplexity, Gemini, and Google AI answers can understand, quote, and cite your English B2B website.
A GEO audit for industrial exporters, manufacturers, chemical suppliers, machinery companies, and technical B2B websites.
Check whether your website has the clarity, structure, and source signals needed to be useful in ChatGPT-style answer flows.
Ready for a page-specific audit?