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What is structured data?
Structured data (or schema markup) is a set of code instructions added to web pages to describe their content in a format understandable by machines. It relies on the Schema.org vocabulary, co-maintained by Google, Bing, Yahoo, and Yandex. The recommended format is JSON-LD (JavaScript Object Notation for Linked Data): a code block added to the page HTML, invisible to the user but explicit for search engines. In practice, a schema tells Google: "this section is a FAQ", "this author is a verifiable person", "this price is for this product on this date". Without this markup, the engine must infer this information from raw HTML. With it, the information is explicit and directly usable.
Structured data in 2026: a full SEO and GEO lever
For SEO, structured data enables rich snippets in the SERP: review stars, pricing, expandable FAQ extracts, breadcrumbs. 72% of first-page Google results use schema markup. For GEO, the role is even more strategic. LLMs like GPT-4o, Gemini, and Claude parse structured data to identify entities, extract formatted answers, and assess source reliability. A well-tagged page is mechanically easier to cite. Pages structured with a clear H1-H2-H3 hierarchy are 2.8 times more likely to be cited by AI (Incremys, State of AI Search 2025). Schema amplifies this signal by making the structure machine-readable as well.
What we observe at Vydera: basic tagging that misses the point
Almost every site we audit has structured data. But almost all share the same problem: an Organization schema on the homepage, sometimes product stars, and nothing else. The AI extraction-oriented schemas, the ones that actually make a difference in generative responses, are absent. FAQPage on service pages, DefinedTerm on glossary pages, HowTo on tutorials: that's what turns quality content into a citable source. The logic is simple: schema is the machine-language translation of what your page says in human language. If that translation is absent or partial, generative engines will prefer a competitor who did it.
Priority schemas to implement in 2026
Here are the schemas to implement based on your content type:
- Organization: on all pages, site-wide. Defines your entity, name, logo, and contact information. This is the foundation.
- FAQPage: on all pages that contain visible question/answer sections. Particularly effective for GEO: LLMs heavily exploit this format.
- DefinedTerm: on glossary pages and definitions. A direct signal to engines that a term is defined on this page.
- Article or BlogPosting: for editorial content, with identified author and publication date. Strengthens E-E-A-T signals.
- BreadcrumbList: on all pages to clarify site structure.
- HowTo: for step-by-step tutorials and practical guides.
Absolute rule: only tag what is visible on the page. A schema declaring a FAQ that doesn't exist on the page is treated as spam by Google and can result in a rich results penalty.
Sources and references
- Introduction to structured data, Google Search Central
- Schema.org, reference vocabulary
- Structured data for SEO and GEO: the essential guide, Vydera Lab
Go further
Schema tagging is systematically audited in our engagements. To find out where your site stands and which schemas to prioritize, visit our contact page or explore the resources available on Vydera Lab.
Is structured data required for SEO?
No, it's not required, but it is strongly recommended. Without structured data, your site remains indexable and potentially well-ranked. But you miss out on rich snippets (which capture 58% of clicks vs 41% for standard results) and reduce your chances of being cited in AI Overviews and by LLMs. In 2026, 72% of first-page Google results use schema. Not having it means competing with a structural handicap.
Which schemas should I prioritize for GEO?
For GEO, the three highest-impact schemas are FAQPage (LLMs heavily exploit the question/answer format), Organization (defines your entity and strengthens E-E-A-T signals), and DefinedTerm (a direct signal to engines that a term is defined on this page). Add BreadcrumbList to clarify site structure and Article with an identified author for editorial content. Start with these five schemas before going further.
Do structured data improve visibility in AI responses?
The link is confirmed and documented. Structured data acts as a reading guide for LLMs: it lets them identify entities, extract formatted answers, and assess source reliability. A well-tagged page is mechanically easier to cite. FAQPage schema is particularly effective because LLMs natively exploit the question/answer format during query fan-out. That said, structured data is an amplifier: it doesn't compensate for poor-quality content.
JSON-LD or microdata: which should I choose?
JSON-LD, without hesitation. It's the format officially recommended by Google. It integrates as an isolated code block in the HTML, without modifying visible content, making it simpler to implement and maintain. Microdata is embedded directly into visible HTML and is harder to manage on complex sites. RDFa is still supported but rarely used in practice. In Webflow, JSON-LD is easily implemented via Custom Code sections on pages or within CMS items.
