Schema.org generation

Turn page content into
facts machines can read.

Paste a page and get Schema.org JSON-LD you can drop straight in. Only facts the source actually states become properties; everything else is a TODO for you to fill, because wrong structured data is worse than none.

Narrowest typeTraceable fieldsTODO not guesses
01

Paste page content

0 / 12,000 charactersMinimum 80

Content is used only for this AI request and is not intentionally stored by this site.

02

Review the output

Your result will appear here

We identify the page type, map properties that trace back to the source, and list the fields you must supply as TODO.

SAMPLE OUTPUT

Here is exactly what you receive.

This is the complete output for the source text in the demo above: a completeness score, itemised modelling reasoning, fields for you to complete, and the JSON-LD draft. It is a demonstration, not a customer case.

SAMPLE

Generation result (sample)

Completeness score88/100
+50
01

Replace the vague answer with a verifiable one

“We support major platforms, contact support” carries no information. It becomes “text documents from common collaboration tools and local files; scans and images are not indexed”.

02

Mark unconfirmed terms as TODO

The fourteen-day no-card trial appears in the source but is an external promise. It is kept and flagged for confirmation so an undetermined term is not published as fact.

03

No Product markup for a page without a price

With no price, rating, or stock stated, Product markup would require empty or invented values. Only FAQPage is emitted, with the reason stated.

JSON-LD draft
# JSON-LD for the FAQ page

**@type**: FAQPage (the page is a genuine list of questions and answers)

```json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Which document sources are supported?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Text documents from common collaboration tools and local files. Scanned PDFs and images are not indexed."
      }
    },
    {
      "@type": "Question",
      "name": "How long is the trial?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Fourteen days with full access. No card required. TODO: confirm the trial terms with the provider."
      }
    }
  ]
}
```

**Withheld**: no Product markup — the page states no price, rating, or availability.

WHAT STRUCTURED DATA DOES

Not a snippet of code. A statement of fact.

01

Pick the most specific type

FAQPage applies only when the page really is a list of questions and answers. Marking up a marketing page as FAQ is mislabelling.

02

Leave unknowns as TODO

Prices, ratings, stock status, and author credentials that the source never states become TODO rather than plausible-looking values.

03

Properties must belong to the type

Product properties do not go on an Article. A type and property mismatch is simply invalid markup.

WHY IT IS WORTH DOING

A page machines cannot read, they can only guess at.

01

One paragraph, two outcomes

Human readers infer meaning from sentences. Crawlers see structure. Structured data turns inference into declaration.

02

Wrong is worse than missing

An incorrect price or rating can produce a wrong result snippet, whereas missing markup just means no enhancement.

03

Only you know most fields

Stock, price, and credentials are frequently absent from the source. Letting a tool guess them is fabrication.

Note: whether a rich result appears is decided by the search engine based on its own policies and page quality. Structured data carries no display guarantee. Validate the syntax with the official testing tool and check the policy for your chosen type before deploying.

REWRITE DEMO

One FAQ, two ways of marking it up.

Typical

<script type="application/ld+json"> {"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Which platforms do you support?","acceptedAnswer":{"@type":"Answer","text":"We support major platforms. Please contact support for details."}}]} </script>

Generated
# JSON-LD for the FAQ page

**@type**: FAQPage (the page is a genuine list of questions and answers)

```json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Which document sources are supported?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Text documents from common collaboration tools and local files. Scanned PDFs and images are not indexed."
      }
    },
    {
      "@type": "Question",
      "name": "How long is the trial?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Fourteen days with full access. No card required. TODO: confirm the trial terms with the provider."
      }
    }
  ]
}
```

**Withheld**: no Product markup — the page states no price, rating, or availability.

Demo sample: answers become verifiable statements, unconfirmed terms become TODO, and no Product markup is added because the page states no price. Paste your page to get your version (sign-in required; one credit per run).

WHY YOU CAN TRUST IT

We put “no guessing” into our product principles.

Prices and ratings are never invented

Values the source does not state — price, rating, review count, stock — become TODO with a note on what you must supply, never a plausible value.

We say so when the type is wrong

If a page is not a question list but you want FAQ markup, we flag the mislabelling risk instead of complying.

No rich-result promises

Whether anything is displayed is the search engine's decision. Any “add it and get stars” claim is false.

Content is not stored

Submitted text is used for this single AI request and is not intentionally persisted. See the Privacy Policy.

FAQ

Ask these before you pay.

Will you validate the syntax?

We emit syntactically valid JSON-LD, but this site is not a validator. Run the official structured data testing tool before deploying.

Why not fill in the price?

Because fields like price, rating, and stock are often absent from the source. Filling in a plausible value is fabrication and can surface a wrong snippet, so we leave TODO.

Which types can you generate?

Common ones include FAQPage, Product, Article, BreadcrumbList, Organization, and HowTo — whichever the page actually supports.

What does one generation cost?

One credit per run, usually done in seconds, returning JSON-LD, the modelling reasoning, and fields to complete.

Do credits expire?

No. Credits never expire — whatever you do not use carries over to the next cycle instead of resetting.

Is there batch processing or an API?

Not yet. Each run processes one document and consumes one credit; there is no bulk upload or API today. Email us with your use case and we will assess it.

Is my content stored?

Not intentionally. Text is used for this single AI request only. See the Privacy Policy.

Which pages fit?

FAQ pages, product pages, articles, and any page with breadcrumbs — anything whose content and attributes you want machines to read correctly.

SIMPLE PRICING

Prove the value before you upgrade.

Starter

$9/ month

For an occasional publishing cadence, with a focused monthly credit allocation.

  • 50 optimization credits per monthly renewal
  • Complete GEO analysis
  • Chinese and English output
  • Markdown export

Pro

Recommended$29/ month

For frequent publishers who iterate on content continuously.

  • 250 optimization credits per monthly renewal
  • Complete GEO analysis
  • Chinese and English output
  • Markdown export

Advanced

$79/ month

Our largest monthly credit allocation, for the heaviest continuous usage.

  • 1,000 optimization credits per monthly renewal
  • Complete GEO analysis
  • Chinese and English output
  • Markdown export
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