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Schema markup checker
A schema markup checker for every page AI search reads
Most schema markup checkers test one URL at a time. WriteWorks checks schema across every indexable page in each crawl: it works out what type each page is, looks for the schema that type should carry, validates what it finds, and flags the pages where structured data only appears after JavaScript runs. Where schema is missing, it writes the JSON-LD from the page's own content.
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SCSam Cartersam@example.com
WRITEWORKS
Measure/AI discoverability
Search brands, prompts, competitors…⌘K
New1.2M (62%) leftAsk AI
The challenge
Why one-page schema checks miss the problem
Coverage, validity and rendering, across hundreds of pages.
One URL at a time doesn't scale
Pasting pages into a validator tells you about the page in front of you, not the 400 product pages that quietly lost their markup in the last template change.
Present is not the same as valid
JSON-LD that doesn't parse, or a Product block missing required properties, looks fine in the source and does nothing for the page.
Schema that needs JavaScript
Markup injected by a script may never be seen by an AI bot that reads the raw HTML. Most checks render the page first, so they hide the problem.
Generators that invent details
AI schema tools happily fill in prices, ratings and authors they can't see. Wrong structured data is worse than none.
The solution
How the schema markup checker works
Classify the page, expect the right schema, validate it, then generate what is missing.
Each page is classified as Home, Product, Category, Article, FAQ or Other, and checked for the schema that type should carry: Organization on the homepage, Product on product pages, Article on articles, FAQPage on FAQs and ItemList on category pages. You can override the type for any page, and SaaS mode accepts SoftwareApplication in place of Product.
Schema that is present but invalid, with required properties missing or JSON-LD that doesn't parse, is flagged as its own issue, and the homepage Organization block is checked for completeness, including sameAs links.
The crawl records schema found in the server HTML separately from schema that only appears after JavaScript runs, so you know what an AI bot reading the raw page actually gets.
Select up to 10 pages and generate schema. WriteWorks fetches each page fresh and writes JSON-LD for the right type from the page's own text and your brand Context. Anything it can't see, such as a price or a rating, is left out and listed for you to fill in, and the result is validated against the same rules the crawl scores with.
Success story
What real brands fixed with WriteWorks
What each brand fixed, measured before and after with the same audit, in their own words.
“Not one of our influencer directory pages reached 200 words. Now 100% of them do, and the share of pages carrying schema jumped from 39% to 99%.”
KL
Capabilities
Schema markup for AI, checked
The machine readability pillar of AI discoverability.
Schema coverage by page type
See which types are covered and which are missing, across the whole site.
Validation issues
Invalid JSON-LD and missing required properties, page by page.
Organization completeness
Homepage Organization schema checked, including sameAs links.
Page-type overrides
Correct the classifier for any page, and re-score without a new crawl.
Schema generator
JSON-LD from the page's own content, never invented details.
Structured data filter
Filter the Pages explorer to pages with or without structured data.
Time savings
What changes
From spot checks to site-wide coverage.
TaskBeforeWith WriteWorksTime saved
Check schema across the siteOne URL at a time in a validatorEvery indexable page, every crawlHours per audit
Find broken markupSpot it by reading the sourceInvalid schema flagged per pageManual review
Write missing schemaHand-written JSON-LDGenerated from the page, validatedPer page
Report on schema coverageA spreadsheet of URLsSchema and machine readability report templateThe deck
Included
What's included
Every schema check in the crawl.
Page types: Home, Product, Category, Article, FAQ and Other
Expected schema per type: Organization, Product, Article, FAQPage, ItemList
SaaS mode accepts SoftwareApplication for product pages
Invalid schema flagged: unparseable JSON-LD and missing required properties
Schema found only after JavaScript recorded separately
Page-type overrides, re-scored without re-crawling
Schema generator for up to 10 pages per run, using plan AI tokens
Generated JSON-LD validated against the same crawl rules
Schema coverage by page type in reports
Built for
Who uses it
Anyone who owns the templates AI search reads.
Technical SEO
Schema coverage and validation across the whole site, not a sample.
Developers
Fix briefs and generated JSON-LD ready to paste into the template.
Ecommerce and SaaS teams
Product or SoftwareApplication schema checked on every product page.
Content teams
Article and FAQPage schema on the pages AI engines are most likely to quote.
Featured story
Fhresh
“We're a booking marketplace, so listings are everything. Since the fixes, pages fully readable without JavaScript went from 84% to 98%, our sitemap dates finally mean something, and our full llms.txt file is real. Over a third of our audited category pages now list their businesses as structured data, with the remaining markets up next.”
Fhresh team
Read the full story72% → 98%
Pages answering crawlers in under 0.8 s
84% → 98%
Pages fully readable without JavaScript
29% → 58%
Key pages with the schema AI expects
FAQ
Frequently asked questions
Everything teams typically ask before getting started.
What is a schema markup checker?+
A schema markup checker reads the structured data on a page, usually JSON-LD, and tells you whether it is present, of the right type and valid. WriteWorks does that for every indexable page in a crawl rather than one URL at a time, and ties each finding to the page type that should carry it.
Why does schema markup matter for AI search?+
Schema markup for AI is about removing guesswork. Structured data states plainly what a page is, who published it, when it changed and, for products and FAQs, the facts and answers on it. AI search tools that read the page can use those statements directly, which makes the page easier to understand and quote. Schema doesn't guarantee a citation, which is why WriteWorks scores it as one part of machine readability alongside structure and bot access.
Which schema types does it check?+
Organization on the homepage, Product on product pages (or SoftwareApplication in SaaS mode), Article on articles, FAQPage on FAQ pages and ItemList on category pages. Any page can have its type overridden if the classifier gets it wrong.
Does it validate the schema it finds?+
Yes. Schema that is present but invalid, because required properties are missing or the JSON-LD doesn't parse, is flagged as its own issue on the page, separate from schema that is missing altogether.
Will the schema generator make up details?+
No. It writes JSON-LD only from what is on the page and in your brand Context. Anything it can't see, such as a price, rating or author, is left out and listed as something for you to fill in. Generation uses AI tokens from your plan; the checks themselves don't.
What about schema added by JavaScript?+
The crawl records schema found in the server HTML separately from schema that only appears after JavaScript runs. If yours is script-injected, the JavaScript SEO checks will show you how much else on the page depends on rendering too.
Schema by page type
What the checker expects on each page
Homepage: Organization
Checked for completeness, including sameAs links to your official profiles.
Product pages: Product
Or SoftwareApplication with SaaS mode on. Missing product schema is a warning.
Articles and FAQs
Article schema on articles and FAQPage on FAQ pages, plus a dateModified that keeps up.
Category pages: ItemList
So the list of items on the page is stated, not inferred.
Explore more
Keep exploring
Related solutions, adjacent use cases, and platform features.
Check the schema on every page, not just one
Schema coverage by page type, validation and grounded JSON-LD generation, inside the AI SEO audit that crawls your whole site.