Structured Data and Schema for AI Search

Structured data is markup you add to a page to describe what it is about in a way machines can read. It helps search engines and AI systems understand your entities, such as your company, your products, and your articles. It is useful, but it is not a magic switch. Clear, accurate markup can reduce confusion about who you are. It cannot force a model to cite you, and it will not rescue a thin or unhelpful page.

• Organization, on your homepage, to describe your brand and link to your official profiles.
• Product, on product and pricing pages, to make features and prices machine readable.
• Article, on guides and blog posts, with accurate author and date information.
• FAQPage, only where you genuinely have questions and answers on the page.
• BreadcrumbList, to make your site structure clear.

Whatever you mark up has to match what a visitor actually sees on the page. Marking up answers that are not visible, prices that are wrong, or reviews that do not exist is the fastest way to lose trust and, in some cases, to get penalized. Treat structured data as a faithful description of real content, not as a place to stuff extra claims.

• Adding FAQ markup to pages that have no real FAQ content.
• Leaving old prices or product details in the markup after the visible page changed.
• Copying the same Organization block onto every page with conflicting details.
• Treating schema as a substitute for actually answering the question well.

Validate your markup with a structured data testing tool, then spot check that every claim in the markup appears on the visible page. Keep the markup simple and honest. A small amount of accurate structured data beats a large amount that fights with what users actually see.