Structured data is a translation layer, not a ranking factor. You write JSON-LD so Google can read your page the way a librarian reads a catalogue card instead of squinting at a paperback cover. When the markup matches what is actually on the page, you become eligible for rich results. When it does not, you get manual actions or quiet suppression. Google has been clear about this for years, and yet most of the schema I audit either describes content that does not exist or describes content that exists but nobody cares about.
The reason this tool generates JSON-LD and not Microdata or RDFa is simple. Google recommends JSON-LD, it sits cleanly in the head of the document, and you can change it without touching the visible DOM. That separation matters more than people think. If your developer ships a redesign and the visible FAQ disappears but the FAQPage schema stays, you have just lied to Google. The markup needs to track the page, not the wishlist.
A common misunderstanding is that more schema types equals more visibility. It does not. Since Google tightened FAQ and HowTo eligibility in 2023, FAQPage rich results are limited to authoritative government and health sites in most queries, and HowTo is functionally dead on mobile. Product, Article, Recipe, Organization, LocalBusiness, and BreadcrumbList still earn real estate when applied correctly. Stack ten schema types on a thin blog post and you get nothing extra, just a longer head tag.
The right way to think about JSON-LD is as a contract. Every property you declare is a claim. Price, availability, aggregate rating, author, datePublished, the steps in a HowTo, the questions in a FAQ. If a human reading the rendered page cannot verify the claim, Google eventually figures it out and the rich result disappears. So generate schema that reflects the page, validate it in Google's Rich Results Test, and check it again three months later when someone updates the copy and forgets the JSON exists.
One last thing. Schema does not move you up the rankings. It changes how your existing listing looks in the SERP. That can lift click-through rate by a meaningful amount on the right query types, which feeds back into rankings indirectly through engagement. But if you are not on page one or two for the query, no amount of structured data is going to fix that. Fix the page first. Then mark it up.
Create valid JSON-LD structured data for any page type.
- Which schema types does it generate?
- Article, FAQPage, HowTo, Product, LocalBusiness, Organization, BreadcrumbList, Recipe, and more — all as JSON-LD.
- Is the output Google-validated?
- Yes. Output follows Google's required and recommended properties for each schema type.
- Where do I paste the JSON-LD?
- Inside a <script type="application/ld+json"> tag in your page <head> or anywhere in <body>.
- Should I use JSON-LD, Microdata, or RDFa?
- JSON-LD. Google has recommended it as the preferred format since 2015, and every major rich result documentation page shows JSON-LD examples first. Microdata and RDFa still parse, but they tangle with your HTML and make schema audits painful. There is no SEO upside to choosing them today.
- Where exactly should the JSON-LD script tag go in the page?
- Either the head or the body works. Most sites place it in the head for cleanliness, but Google parses it from anywhere in the document. What matters more is that it renders in the initial HTML or via server-side rendering. If a schema block only appears after a client-side JavaScript event, Googlebot may not see it.
- Can I have multiple schema types on the same page?
- Yes, and you often should. A typical product page might have Product, BreadcrumbList, and a sitewide Organization block. You can either use multiple script tags or combine them in a single @graph array. Both are valid. Just keep each entity clean and avoid declaring the same entity twice with conflicting values.
- Will FAQ schema still get rich results in 2026?
- For most sites, no. Since the August 2023 update, Google restricts FAQ rich results to well-known authoritative health and government domains. You can still mark up FAQs, and Google still uses the data for AI overviews and entity understanding, but the blue accordion is gone for most properties. Mark up FAQs because they help machines parse your page, not because you expect the SERP treatment back.
- Does schema markup help with AI search and LLM citations?
- Indirectly, yes. Tools like ChatGPT search, Perplexity, and Google AI Overviews ingest structured data when extracting facts. A clean Organization block with sameAs and a clear Article schema with an author make it easier for an LLM to attribute a claim to you rather than to a competitor with looser markup. It is not a guarantee of citation, but it is a cheap edge.
- How do I validate schema before pushing to production?
- Two tools. Google's Rich Results Test (search.google.com/test/rich-results) tells you what Google will treat as eligible for rich results. The Schema.org validator (validator.schema.org) checks raw spec compliance. Run both. Rich Results Test is the one that matters for SERP eligibility, but the schema.org validator catches type errors the first tool ignores.
- What happens if I remove schema from a page that was earning rich results?
- You lose the rich result within a few crawl cycles, usually a week or two. Click-through rate typically drops on queries where the rich treatment was driving attention. If you are removing schema because it was inaccurate, do it anyway. Misleading markup is worse than no markup. If you are removing it accidentally during a redesign, that is the kind of regression a quarterly schema audit catches.
Generate the markup, validate it, and treat it as code that needs maintenance. Schema rewards accuracy and punishes embellishment. The teams that win with structured data are not the ones with the most JSON-LD blocks. They are the ones whose markup still matches the page six months after launch.
