Introduction
Structured data is a standardised way to describe information on a web page so search engines can interpret certain details consistently. Many sites use Schema.org vocabulary in JSON-LD format. Structured data can make a page eligible for supported search features, but it does not guarantee a feature or ranking improvement.
Potentially relevant types
Organization: Describes company identity details.
WebSite: Describes the website.
BreadcrumbList: Represents a page’s position in a visible hierarchy.
Article or BlogPosting: Describes article details such as headline, author, dates, and image. Use types only when the content and current guidelines support them.
Match markup to visible content
Do not mark up information that is false, outdated, misleading, or not represented on the page. Use accurate names, URLs, images, dates, and author information. Mark up the actual page, not a different business or page.
Implementation and validation
Choose an appropriate type, implement it carefully through your CMS or code, test with current Google tools, review the rendered page, and monitor Search Console reports when available. Recheck after template or content changes.
What structured data cannot do
Schema does not guarantee rankings, AI citations, or rich results. Avoid unsupported types, fabricated reviews, misleading ratings, and irrelevant markup.
Conclusion
Use structured data to describe real page content accurately. It complements helpful visible content; it does not replace it.
Frequently asked questions
Does JSON-LD improve rankings by itself?
There is no guarantee; it communicates structured information and may support eligible search features.
Should every article use FAQ schema?
No. Choose markup that fits the content and current guidance.
Can schema guarantee AI citations?
No. Structured data does not guarantee AI citations.
