SVO - Schema Validator Online
Validate JSON-LD Structured Data
Enter the URL to automatically extract JSON-LD from the page
Binatomy's creative studio
Want your site to look right on Google and social? Koral does it
Koral is Binatomy's creative studio. It designs and builds professional websites with in-house photo, video and copy, and it writes the previews, titles and structured data this tool checks from the start instead of chasing them later. Tell us about the site you have in mind and we will tell you what it really needs.
Domande Frequenti Tecniche
Tutto quello che devi sapere su JSON-LD, Open Graph, Schema.org e GEO
What is JSON-LD and why is it important?
JSON-LD (JavaScript Object Notation for Linked Data) is the format recommended by Google for structured data. It allows semantic metadata to be inserted into web pages in a way that is easily readable by both search engines and LLMs. It is essential for Rich Results in SERPs and for GEO optimization.
What is the difference between Schema.org, JSON-LD and Rich Data?
Schema.org is the vocabulary (the available "words" and "concepts"), JSON-LD is the encoding format (the "syntax"), and Rich Data (or Structured Data) is the general term for structured semantic data. JSON-LD is one of the formats for implementing Schema.org, along with Microdata and RDFa.
What is Open Graph and how does it work?
Open Graph Protocol (OGP) is a protocol developed by Meta (Facebook) that uses HTML meta tags to define how a web page appears when shared on social media. It includes tags like og:title, og:description, og:image that control the title, description and image preview in shares.
What is the difference between Open Graph and Twitter Cards?
Open Graph is a generic standard used by Facebook, LinkedIn, WhatsApp and others. Twitter Cards is specific to Twitter/X and uses tags like twitter:card, twitter:title. Twitter also supports Open Graph as a fallback, so it is good practice to implement both to maximize compatibility.
How does GEO (Generative Engine Optimization) work?
GEO optimizes content for AI-based generative engines (ChatGPT, Perplexity, Claude, Gemini). It includes: structured data (JSON-LD), well-structured content with hierarchical headings, FAQ schema, clear citations and sources, semantic metadata. The goal is to be correctly cited in AI-generated responses.
Which Schema.org types should I implement?
The most common and useful are: Organization (company data), LocalBusiness (local business), Article (articles/blog), FAQPage (FAQ pages), Product (e-commerce products), Event (events), Person (people), BreadcrumbList (breadcrumbs), VideoObject (video). Choose based on your site's content type.
How can I test if my structured data is correct?
Use tools like: Google Rich Results Test (search.google.com/test/rich-results), Schema Markup Validator (validator.schema.org), this SVO tool for quick validation, and Google Search Console to monitor errors over time. Always test after major changes.
Do structured data improve SEO ranking?
Not directly as a ranking factor, but indirectly yes. Rich Results (review stars, FAQs, prices) increase CTR from SERPs, which is a positive signal. They also improve user experience and Google's and LLMs' understanding of content, boosting overall visibility.
What is JSON-LD and why does it matter?
JSON-LD is the format Google recommends for structured data. It carries semantic metadata inside a web page in a way both search engines and language models can read, without touching how the page looks.
What is the difference between Schema.org and JSON-LD?
Schema.org is the vocabulary, the words and concepts available. JSON-LD is the encoding, the syntax that carries them. Structured data is the general name for the whole thing, and JSON-LD is one of the ways to write it.
Where does my upload go?
To a server of ours, and we say so plainly because this is one of the few tools that cannot run inside the browser: the processing needs a real machine. The file is uploaded, processed, and deleted automatically within an hour. Nobody opens it, it does not end up in an archive, and it is never used to train anything.
Do you use it for anything else?
No. The file does the job you asked for and then it is gone: we do not link it to you, we do not resell it, we do not pass it to third parties and we do not train any model on it. Most other Binatomy tools upload nothing at all and work only in your browser; this is one of the few that cannot.
Do you profile me? Are you GDPR compliant?
We do not profile you: there is no account to create, we never ask for your email to use a tool, and we keep no profile of what you do. We are an Italian company and we work under the GDPR and the other European rules, with the privacy notice and the consent request in plain sight. One thing we say in full rather than hiding it behind a slogan: the ads on the page are Google's, and Google may use cookies to personalise them. You decide from the consent banner: if you say no the ads stay, but they are not personalised, and the tool works exactly the same.
If it is free, how do you make money?
From the ads on the page, and that is all. We do not sell your data, there is no hidden paid plan, there is no limit that eventually asks for your card, and you do not have to sign up. The ads pay for the servers and for the time we spend writing the tools: that is how we can keep them open to everyone.