Schema markup generator

A schema markup generator that only writes what is on the page

Most schema generators hand you a form to fill in. WriteWorks starts from the pages its crawl flagged, fetches each one fresh and writes the JSON-LD that page type should carry, using only the page's own text and your brand Context. Anything it can't see, such as a price or an author, is left out and listed for you, and every block is validated before you copy it.

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The Generated schema panel for two articles: each shows its schema type, passes the crawl's checks, lists what to fill in by hand and has the JSON-LD ready to copy (sample data).The Generated schema panel for two articles: each shows its schema type, passes the crawl's checks, lists what to fill in by hand and has the JSON-LD ready to copy (sample data).
The platform

See WriteWorks in Action

This is the working product, not a mockup: the same visibility scores, briefs and published content your team would be looking at. Start a free trial and point it at your own domain, or take the tour of what sits behind the screen.

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SCSam Cartersam@example.com
WRITEWORKS
Measure/AI discoverability
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The challenge

Why most schema generators fall short

Blank forms, guessed values and output nobody checks.

Form-based generators start from a blank page

You choose a type, then type every property by hand. For 40 articles that lost their markup in a redesign, that is an afternoon of copy and paste.

AI tools fill the gaps with guesses

Ask a general AI tool for Product schema and it will happily supply a price, a currency and a 4.8 rating. Structured data that contradicts the page is worse than none.

Existing markup gets duplicated

Generators that ignore what is already on the page produce a second Article block beside the broken one, so the page now carries two conflicting statements.

Nobody checks the output

A pasted block that doesn't parse, or still misses a required property, fails silently. You only find out at the next audit, if there is one.

The solution

How the schema generator works

Pick the pages, write for their type, ground it in the page, validate it.

Open any schema issue in the audit, such as a product page missing Product schema or an article missing Article schema, select up to 10 affected pages and choose Generate schema. You can also generate from a single page's detail view.

◆How the schema generator worksLIVE
WriteWorks AI discoverability: pick pages to generate schema for. Close-up: Issue header, the bulk bar and the ticked pages (sample data).WriteWorks AI discoverability: pick pages to generate schema for. Close-up: Issue header, the bulk bar and the ticked pages (sample data).
Success story

What real brands fixed with WriteWorks

What each brand fixed, measured before and after with the same audit, in their own words.

Pages under 0.8 s 72% → 98%

“Pages that answer AI crawlers in under 0.8 seconds went from 72% to 98%. Add a homepage that now says who Fhresh is in plain markup, in every market, and AI has far more to work with.”

Capabilities

A structured data generator inside the audit

From an issue's affected pages to JSON-LD you can paste.

Bulk generation

Up to 10 pages per run, straight from a schema issue's affected pages.

Per-page generation

Generate or regenerate from any page's detail view.

Type-aware output

Organization, Product, SoftwareApplication, Article, FAQPage and ItemList.

Grounded in the page

The page's own text and your brand Context, with no invented values.

Built-in validation

Checked against the crawl's own rules before you copy it.

Fill-in notes

Every property left out is listed as an instruction, such as adding a price.

Time savings

What changes

From hand-written markup to generated, validated blocks.

TaskBeforeWith WriteWorksTime saved
Write Product schema for a catalogueA form per product, by handGenerated for 10 pages per runHours per template
Fix invalid Article markupRead the source, find the gapMissing properties added to the existing blockPer page
Mark up an FAQ pageRetype every question and answerFAQPage built from the visible Q&AThe retyping
Check the result before shippingPaste into a validatorValidated against the crawl's rulesA round trip
Included

What's included

Everything the JSON-LD generator does.

Generate schema for up to 10 selected pages per run
Generate or regenerate from a single page's detail view
Offered on product, article, FAQ, category, Organization and invalid-schema issues
Organization with sameAs plus WebSite for the homepage
Product, or SoftwareApplication with SaaS mode on
Article or BlogPosting, FAQPage, and ItemList inside a CollectionPage
Page fetched fresh at generation time
Uses only the page's text and your brand Context
Existing JSON-LD extended rather than duplicated
Properties it can't fill listed as instructions
Validated against the same rules the crawl scores with
Copy snippet wraps the JSON-LD in its script tag
Suggestion saved on the page's detail view
Uses AI tokens from your plan; the crawl checks don't
Built for

Who uses it

Anyone who owns the templates AI search reads.

Technical SEO

Turn a schema gap across a template into ready JSON-LD in one run.

Developers

A validated script block per page, with the open questions written down.

Ecommerce and SaaS teams

Product or SoftwareApplication schema that never guesses a price.

Content teams

Article and FAQPage markup for the pages AI engines quote most.

Featured story

“A near-perfect audit score made it easy to think the job was done. WriteWorks found the one gap that mattered: none of our homepages said who we are in a way a machine could read. We added Organization markup in every market and dated every FAQ page, and key pages carrying the schema AI expects went from 92% to 100%. Small changes, and a much clearer picture of GraftPal for AI.”

GraftPal team

Read the full story
0% → 100%
Market homepages with Organization markup
20% → 100%
Articles and FAQs with a modified date
6.7x
Faster median server response to crawlers
FAQ

Frequently asked questions

Everything teams typically ask before getting started.

What is a schema markup generator?+
A schema markup generator writes structured data, usually JSON-LD, that describes a page to search engines and AI tools: what it is, who published it and the facts on it. WriteWorks generates it from the page itself, for the pages its crawl found missing or invalid schema, rather than from a form you fill in.
How is the generator different from the schema markup checker?+
The checker finds the problem: which pages lack the schema their type should carry, and which have markup that is invalid or only added by JavaScript. The generator writes the fix for those pages. They sit in the same audit, so you go from an issue's affected pages straight to generated JSON-LD.
Is it a JSON-LD generator or a structured data generator?+
Both names describe the same thing. The output is JSON-LD using schema.org types, which is the structured data format AI search tools and search engines read most reliably. You get one JSON object per page, using @graph where a page needs several items.
Will it make up prices, ratings or authors?+
No. It is instructed to use only facts present on the page or in your brand Context, and to leave out anything else. Each property it couldn't fill appears as a short note, for example to add a price because none is shown on the page, so you can add it yourself.
How many pages can I generate at once?+
Up to 10 per run. Select the affected pages on a schema issue and choose Generate schema; if you select more, it generates for the first 10. You can also generate for one page at a time from its detail view.
Does the schema generator use AI tokens?+
Yes. Generation uses AI tokens from your plan, because each page is a model call. Finding schema gaps in the crawl doesn't, and neither do the fix briefs.
How do I add the generated schema to my site?+
Copy snippet gives you the JSON-LD wrapped in a script tag of type application/ld+json. Paste it into the page's head, or into the template that renders that page type. The next crawl checks it like any other schema on the page.

Turn schema gaps into ready JSON-LD

Find the pages missing schema, generate it from their own content, and check it with the same rules the audit scores with.