
Step 1
Input
Paste a page URL, raw JSON-LD, or schema snippet. Choose a schema type and set key properties so the AI can infer the right structured data fields.
Use schema-probe to generate, analyze, and validate structured data fast. Improve SEO, detect schema errors, and export JSON-LD online—try it now.

How to use schema-probe
This quick walkthrough shows how to create Schema.org markup, check it for errors, and export production-ready JSON-LD. Use it for audits, new pages, or ongoing SEO maintenance.

Step 1
Paste a page URL, raw JSON-LD, or schema snippet. Choose a schema type and set key properties so the AI can infer the right structured data fields.

Step 2
Run validation to surface errors, warnings, and missing required fields. Review suggested fixes and confirm entity relationships for accurate rich results eligibility.

Step 3
Download clean JSON-LD or copy it directly into your site. Re-test after edits to ensure Schema.org compliance and consistent markup across templates.
Features
schema-probe combines AI-assisted schema generation with automated validation to help you ship accurate structured data faster. Detect missing properties, invalid types, and formatting issues that can block rich results. Export clean JSON-LD, iterate quickly, and keep your Schema.org markup consistent across pages and templates.

Generate Schema.org markup from minimal inputs, then refine key fields with guided suggestions. Produce consistent JSON-LD for common entity types without manual guesswork.

Scan schema for errors, warnings, and missing required properties in seconds. Get clear, actionable feedback to fix markup and improve rich result eligibility faster.

Export production-ready JSON-LD with consistent formatting and structure. Copy, download, and re-test instantly to keep schema aligned across multiple pages and site sections.
About
schema-probe is an AI-powered schema generator and validator that helps you create, analyze, and fix structured data for better search visibility. Paste a URL or markup to detect errors, missing fields, and rich result eligibility in seconds. Export clean JSON-LD, iterate quickly, and keep Schema.org markup consistent across pages.
schema-probe combines AI schema generation with practical validation so you can move from draft markup to deployable JSON-LD fast. Clear diagnostics reduce trial-and-error, while consistent exports help standardize Schema.org implementation across pages for reliable SEO workflows.
Paste a URL or existing JSON-LD, pick a schema type, and run analysis. Apply suggested fixes, export clean markup, and re-validate to confirm everything is ready to publish.
Use cases
Discover how different creators use this app in their workflow.
Quickly validate structured data across key pages, spot missing properties, and prioritize fixes that improve rich results visibility and reduce markup errors.
Generate and verify Product, Offer, and Review schema to support price, availability, and ratings—then export clean JSON-LD for easy deployment.
Create Article, FAQ, Organization, and LocalBusiness schema with consistent fields, then validate relationships to keep markup accurate across location or blog templates.
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Answers to common questions about AI schema generation, validation, and JSON-LD export with schema-probe.
schema-probe helps you generate and validate Schema.org structured data. It detects errors and missing properties, then outputs clean JSON-LD you can add to pages to support rich results.
Yes. Provide a URL or a few details, select a schema type, and the AI produces JSON-LD markup. You can review and edit fields before exporting for deployment.
The validator checks your markup for invalid types, formatting problems, and missing required properties. It returns clear diagnostics so you can correct issues and re-test quickly.
You can generate and validate common Schema.org types like Product, Article, FAQ, Organization, and LocalBusiness. schema-probe guides required fields to keep structured data complete and consistent.
It helps by reducing schema errors and ensuring required properties are present. While rich results aren’t guaranteed, clean structured data improves compatibility for eligible enhancements.
Yes. Paste existing JSON-LD to analyze issues, then apply suggested fixes. Export the updated markup and re-validate to confirm Schema.org compliance and stable formatting.
No. The workflow is designed for both technical and non-technical users, with guided fields and readable diagnostics. You can generate schema, validate it, and export JSON-LD without deep expertise.
Copy the exported JSON-LD into a script tag on the target page, typically in the head or body. Then re-run validation to confirm the live markup matches your intended schema.
Yes. You can reuse outputs and iterate on a consistent field structure, then validate each page’s JSON-LD to prevent drift across templates, categories, or location pages.

Create clean JSON-LD, catch schema errors, and improve structured data quality in minutes with schema-probe.