Key facts
| Tool type | Free JSON-LD schema markup generator for websites |
| Schema types | SoftwareApplication, FAQPage, Article, Organization, BreadcrumbList |
| Output | Copy-paste JSON-LD validated against the schema.org vocabulary |
| Placement | One script block per page template, generated server-side or statically |
| AI search role | Improves machine readability; does not guarantee rich results or citations |
| Related developer tool | Function-calling schemas are a different format, generated separately |
| Free plan | 2 free AI models (plugsky-micro, plugsky-lite), no card required |
| Product status | Live |
TL;DR
- Generate one schema type per page: product, FAQ, article or organisation.
- Keep field values identical to what users see on the page.
- Validate before shipping; malformed JSON-LD is worse than none.
- Schema aids extraction; it does not guarantee rich results or AI citations.
- Generate from your CMS data so values cannot drift out of date.
How it works, step by step
- List the page types on your site: product, pricing, FAQ, article, docs and contact.
- Choose the matching schema type for each template in the generator.
- Fill in required fields with values that appear on the page.
- Generate the JSON-LD block and add it to the page template once per type.
- Validate the rendered output on a representative page of each type.
- Fix warnings, then monitor for template changes that break required fields.
- Regenerate when product names, pricing structure or organisation details change.
Try it yourself
Open the schema markup generator →
What structured data does for AI search
Structured data does not rank pages; it removes ambiguity. When a page declares itself as a SoftwareApplication with a name, description, feature list and organisation, machines do not have to infer those facts from prose. That matters more as AI assistants summarise and cite pages: clear, validated JSON-LD is easier to extract accurately than marketing copy. Be honest about the limits — schema does not guarantee rich results, citations or visibility, and inaccurate markup can be penalised. Treat it as one layer of a clean, well-structured page.
Generating and placing the markup
Work by template, not by page. A SaaS site typically needs SoftwareApplication for the product, FAQPage for answer content, Article for blog posts, Organization on every page and BreadcrumbList for navigation. Generate the block for each template, then render it server-side or at build time so every page inherits it with its own values. Keep field values identical to visible page content — the same name, the same description, the same feature list. Where a field does not apply, omit it rather than inventing placeholder data.
Validating and maintaining
Validate the rendered output, not the template. A valid generator block can still produce broken JSON-LD after a CMS edit or a bad string escape. Run a validator on a representative page of each type after any template change, and check that required fields are present and correctly typed. Maintenance is mostly boring: product renames, pricing structure changes and organisation details all flow into schema. Generate from your source data so updates are one edit, not a search across templates — and keep function-calling JSON Schemas for your API separate from website markup.
Honest comparison
| Schema type | Use it on | Key fields | Common mistake |
|---|---|---|---|
| SoftwareApplication | Product and pricing pages | Name, description, features, offers | Inventing ratings or reviews |
| FAQPage | Answer and support content | Questions with accepted answers | Marking up FAQs not on the page |
| Article | Blog and documentation | Headline, author, dates, publisher | Mismatched headline or dates |
| Organization | Site-wide, especially home | Name, URL, logo, contact points | Inconsistent brand details |
| BreadcrumbList | Hierarchical navigation | Ordered items with URLs | Breadcrumbs that do not match the page |
Frequently asked questions
What is schema markup?
Structured data added to a page — usually JSON-LD — that states facts about the page in a vocabulary machines understand, such as SoftwareApplication or FAQPage.
Does schema help with AI search?
It helps machines extract facts accurately, which supports AI summaries and citations. It does not guarantee rich results, rankings or citations.
Is this the same as function-calling schema?
No. Website schema uses schema.org vocabulary for search and AI understanding; function-calling schemas describe tool parameters for an LLM API. They are generated and placed differently.
Which schema types should a SaaS site use?
SoftwareApplication for the product, FAQPage for answer content, Article for posts, Organization site-wide and BreadcrumbList for navigation.
Can I get penalised for wrong markup?
Inaccurate or hidden markup can cause manual actions or ignored data. Only mark up content that is visible and accurate on the page.
How do I add the generated code?
Paste the JSON-LD script block into the page template — server-side or at build time — so each page renders it with its own values.
How often should I update it?
Whenever product names, descriptions, pricing structure or organisation details change, and after any page-template edit.
Is the generator free?
Yes. It is a free browser tool, and the free plan includes 2 free AI models with no card if you also want to build with the API.