Free Schema Markup Generator (JSON-LD)


      

Paste this inside a <script type="application/ld+json"> tag in your page <head>, then test with Google’s Rich Results Test.

Schema is how you get read — and cited — by AI search. Clean structured data helps Google, ChatGPT and Perplexity understand and quote your pages. See how our AEO agency and GEO services get Singapore brands cited by AI, or get a free audit.

Free schema markup generator (JSON-LD) for SEO & AI search

This free tool — built by a Singapore SEO agency — generates valid JSON-LD structured data you can paste straight into your page. No signup, no limits, and it runs entirely in your browser. Structured data helps search engines and AI answer engines understand your content, which is what makes pages eligible for rich results and, increasingly, for citation in AI Overviews, ChatGPT and Perplexity.

Which schema types matter most for AI search (AEO)?

  • FAQPage — question-and-answer content maps directly to how people ask AI assistants, making it some of the most citable structured data you can add.
  • HowTo — step-by-step instructions that answer engines love to summarise.
  • Article — author, publisher and date signals that support E-E-A-T and help engines attribute your content.
  • LocalBusiness — essential for Singapore businesses appearing in local and map results.
  • Organization — defines your brand as an entity in the knowledge graph, the foundation of being recognised (and cited) by AI.

How to add the schema to your site

  1. Pick a schema type above and fill in the fields.
  2. Click Copy JSON-LD.
  3. Paste the full <script type="application/ld+json"> block into your page’s <head> (or via your SEO plugin / tag manager).
  4. Validate with Google’s Rich Results Test and the Schema.org validator.

LocalBusiness schema for Singapore businesses

If you have a physical presence or serve a defined area, LocalBusiness schema is one of the highest-value markups you can add. Get the details right: use your exact, consistent NAP (name, address, phone) matching your Google Business Profile and website footer; format the address with the Singapore postal code and addressCountry: SG; add accurate openingHours; and include priceRange and areaServed where relevant. Consistency across your site, your schema and your Google Business Profile is what builds the entity trust that powers local rankings and map-pack visibility.

Common schema markup mistakes to avoid

  • Marking up content that isn’t on the page. Schema must reflect visible content — inventing FAQs or reviews that users can’t see risks a manual action.
  • Mismatched data. A different phone number or business name in your schema than on the page confuses engines and erodes trust.
  • Invalid JSON. A single missing comma or bracket invalidates the whole block — always run it through a validator (this tool outputs clean, ready-to-validate JSON-LD).
  • Over-nesting or wrong types. Use the most specific correct type, and don’t stack unrelated schemas hoping for more rich results.

How schema supports E-E-A-T and AI citations

Article, Person, Organization and Publisher markup tells engines who is behind the content and who published it — the machine-readable side of Experience, Expertise, Authoritativeness and Trust. For AI search specifically, clean entity and Q&A markup reduces ambiguity about what your page says and who says it, which is one of the conditions that makes an answer engine more willing to quote you. Schema won’t force a citation, but its absence makes you easier to overlook.

Keeping your schema in sync with the page

The single fastest way to lose trust with search engines is to let your structured data drift away from what a visitor actually sees. If your FAQ schema lists a question that no longer appears on the page, or your Article schema names an author who isn’t credited in the byline, Google may ignore the markup entirely — and repeated mismatches can suppress rich results for the whole domain. Treat the JSON-LD as a mirror of the visible content, not a wish list.

Build a habit of regenerating your markup whenever you meaningfully edit a page. For teams running content at scale, it’s worth documenting which template owns which schema type so nobody double-declares an Organization block in both the header and the footer. If you’d rather hand this off, our SEO team can audit your structured data sitewide.

Validating before you ship

Always paste your generated JSON-LD into Google’s Rich Results Test and the Schema.org validator before publishing. The two catch different problems: Google flags whether a type is eligible for a rich result, while the Schema.org validator catches malformed syntax and unrecognised properties. A block can be “valid” yet ineligible — a common surprise with HowTo, which Google has quietly de-emphasised in results.

Frequently asked questions

Is JSON-LD better than microdata for schema?

Yes — Google recommends JSON-LD, and it’s far easier to maintain because it lives in a single script block rather than being woven through your HTML. This tool outputs JSON-LD.

Does schema markup help with AI Overviews and ChatGPT?

It helps them read and trust your content. Clean structured data won’t force a citation, but it removes ambiguity about what your page says and who published it — which is one of the conditions that makes AI engines more willing to quote you. This is a core part of Answer Engine Optimisation.

Will schema markup instantly improve my rankings?

Schema is not a direct ranking factor, but it can earn rich results and improve how engines and AI understand your pages — both of which affect visibility and click-through. It’s high-leverage, low-risk, and quick to add.

Do I need LocalBusiness schema for my Singapore business?

If you have a storefront, office, or serve a specific area, yes — it’s one of the strongest local signals you can add, and it reinforces your Google Business Profile. Pure e-commerce or national sites may prefer Organization schema instead.

Can I use multiple schema types on one page?

Yes, when they genuinely describe the page — for example an Article plus an FAQPage plus BreadcrumbList. Just make sure each type reflects real, visible content on that page.

Will Google penalise incorrect schema?

Invalid schema simply won’t generate rich results. However, deliberately marking up content that isn’t visible to users (fake reviews, hidden FAQs) can trigger a structured-data manual action, so keep your markup honest.

Does this work with WordPress and Rank Math or Yoast?

Yes. You can paste the generated JSON-LD into a custom HTML block, your theme’s head, or a code snippet plugin. Many SEO plugins also generate some schema automatically — use this tool for the types they don’t cover, and avoid duplicating the same type twice.

How often should I update my structured data?

Update it whenever the underlying content changes — new FAQs, a revised author, updated opening hours or pricing. Stale markup that contradicts the live page is worse than no markup at all, because it erodes the trust signals AI search engines rely on when deciding whether to cite you.

Does more schema always mean better results?

No. Adding types that don’t match your content, or stacking redundant blocks, dilutes clarity and invites errors. Pick the two or three types that genuinely describe the page — usually Article or FAQPage plus Organization — and mark them up accurately rather than exhaustively.