Schema Studio

Schema Studio is two tools on one page: a validator that checks any URL’s structured data against Google’s real rich-result requirements, and a generator that builds perfect JSON-LD from a fill-in-the-blanks form. Validate what you have, see exactly which properties are missing or malformed, then generate what you don’t. No signup, no watermark, no email gate.

Structured data in one minute

Structured data is a small block of machine-readable code you add to a page that spells out what the page is (a local business, a product, an article, a list of FAQs) in a vocabulary (schema.org) that search engines and AI systems agree on. Humans read your page; machines read your schema. That matters for two payoffs. In Google, valid markup makes you eligible for rich results: star ratings, prices, FAQ accordions, breadcrumb trails, event dates: the visual upgrades that make a listing stand out. For AI systems, structured data is one of the clearest signals of who you are and what you offer, which makes an assistant far more likely to describe and cite you accurately.

The format question is settled: use JSON-LD. It’s Google’s stated preference, it lives in a single <script type="application/ld+json"> tag instead of being tangled through your visible HTML, and it’s what Schema Studio both validates and generates. Microdata and RDFa still exist in older sites (the validator counts them so you’re not misled), but JSON-LD is where new work belongs.

The five types every local business should have

You don’t need to mark up everything. For a typical local or small business, five types carry almost all the value:

• LocalBusiness (with the right subtype: Dentist, Plumber, Restaurant, and so on): your name, address, phone, hours, and geo. This is what feeds map and “near me” style results.
• Organization: your brand identity, logo, and sameAs links to your social and directory profiles: the backbone of your knowledge-graph presence.
• WebSite (with a SearchAction): lets Google understand your site search and can enable a sitelinks search box.
• FAQPage: your question-and-answer content, eligible for expandable FAQ rich results and highly quotable by AI assistants.
• Article / BlogPosting: for your content pages: headline, image, author, and dates.

Product and Event round out the list for shops and venues. Schema Studio’s generator has a guided form for each, pre-filled with sensible examples, and emits clean JSON-LD you can paste straight into your page.

Validator vs. Google’s Rich Results Test

Google’s Rich Results Test tells you whether a page is eligible (pass or fail), but it doesn’t teach and it doesn’t generate. Schema Studio is built to do the parts Google’s tool leaves out:

• It separates required from recommended. Miss a required property and the rich result won’t show at all; miss a recommended one and you’re eligible but Google can display less of your result. Schema Studio flags each class distinctly, so you know what’s blocking eligibility versus what’s merely leaving value on the table.
• It explains the fix. Each missing or malformed property comes with what it wants and why, ISO-8601 dates, absolute image URLs, numeric prices, sequential breadcrumb positions.
• It generates. The moment you find a gap, switch to the Generate tab with the type pre-selected and build the markup on the spot.
• It’s candid about what it can’t do. It validates JSON-LD in depth and only counts microdata and RDFa, and it tells you so rather than pretending otherwise.

One rule the validator enforces on your behalf: only mark up what’s genuinely on the page. Markup that contradicts visible content (review stars with no visible reviews, prices that aren’t shown) violates Google’s guidelines and can earn a manual action.

The GEO angle

Structured data has quietly become a generative engine optimization pillar. When an AI assistant answers a question about a business or a product, it leans on the cleanest machine-readable signals it can find, and JSON-LD is exactly that: an unambiguous statement of your name, offers, hours, and answers. Getting quoted correctly by an AI is half the GEO battle, and well-formed schema is how you tilt the odds. The same block that earns you a Google rich result also makes you legible to ChatGPT, Claude, and Perplexity: one investment, two audiences.

For AI agents

This tool exposes a plain-text endpoint designed for language models and agents:

GET https://nitrosites.com/tools/schema-studio/scan.php?url=<target>&format=agent

It also accepts code=<raw JSON-LD> in place of url to validate a pasted block directly, with no fetch. It returns a token-cheap digest of the same analysis shown on this page. Soft rate limits apply; results are cached briefly. No key or login required.

Frequently asked questions

What is schema markup and why does it matter?

Schema markup is machine-readable JSON-LD in your page that tells search engines and AI systems exactly what the page is about: a business, a product, an article, an FAQ. It powers rich results (stars, prices, FAQs in Google) and helps AI assistants describe and cite you accurately.

What's the difference between required and recommended properties?

Miss a required property and Google won't show the rich result at all. Recommended properties don't block eligibility but improve how much of your result Google can display. This tool flags both, separately.

Should I use JSON-LD, microdata or RDFa?

JSON-LD. It's Google's stated preference, lives in one script tag instead of being woven through your HTML, and it's what this studio validates and generates.

Does schema markup help with AI search (GEO)?

Yes, structured data is one of the clearest signals AI systems have for entities, offers, and FAQs. Well-marked-up pages are easier to quote correctly, which is half the GEO battle.

Can schema markup hurt my rankings?

Markup that contradicts visible content violates Google's guidelines and can earn a manual action. Only mark up what's actually on the page. The validator flags obviously suspicious patterns like review markup with no visible reviews.