Schema Markup
Definition
Schema markup is code added to a web page, based on the shared vocabulary maintained at schema.org, that labels content explicitly for machines: this paragraph is a product description, this number is a price, this list of names is a set of FAQ questions. It removes ambiguity that a search engine or AI model would otherwise have to infer from unstructured text.
The recommended format is JSON-LD, a block of structured code placed in a page's HTML that describes entities and their properties without altering the visible page content. Common types include Organization, Product and Offer, Article or BlogPosting, FAQPage, BreadcrumbList and Review, each with defined properties search engines know how to parse. Google's Rich Results Test and Schema.org's own validator are the standard tools to check that markup is correctly formed.
Structured data has two separate benefits: it can unlock visual rich results in traditional search, like star ratings, breadcrumbs and FAQ dropdowns, and it gives AI search engines a clean, unambiguous source to pull facts from when generating an answer, which is why schema markup is treated as a GEO requirement and not just a classic SEO one.
Structured data is one of the clearest levers for AI Grounding, and pairs naturally with BotRank's technical audits feature, which checks whether a site's markup is present and correctly formed.
Examples
A software company adds Organization and SoftwareApplication schema to its homepage and pricing page. Search engines begin displaying the company's logo and rating directly in results, and an AI assistant answering a question about the product's price cites the exact figure from the marked-up Offer field.
Frequently Asked Questions
What is JSON-LD and why is it preferred over microdata?
JSON-LD is a JavaScript-based structured data format placed in a single script block in a page's head or body, kept separate from the visible HTML, which makes it easier to add, maintain and validate than microdata, which requires tagging individual HTML elements directly.
Does adding schema markup guarantee rich results?
No. Correct markup makes a page eligible for a rich result, but search engines still decide whether and when to display one based on content quality and relevance.
Which schema types matter most for GEO?
FAQPage, Article or BlogPosting, Organization, Product and BreadcrumbList tend to matter most, since they give AI systems clearly labeled facts, entities and relationships to cite.
Can schema markup hurt SEO if implemented incorrectly?
Yes. Markup that describes content not actually visible on the page, or that contains errors, can violate search engine guidelines and lead to a manual action, so it should always accurately reflect the page's real content.
How do you test schema markup?
Google's Rich Results Test and the Schema Markup Validator maintained by schema.org are the two standard tools to confirm structured data is valid and eligible for rich results.
