Schema Forge

Analyses the JSON-LD on the target page, spots schemas that are missing or incomplete compared to the reference template (Organization, Product, FAQPage, Article, etc.) and proposes a draft markup ready to paste.

Schema Forge

What it does

Analyses the JSON-LD on the target page, spots schemas that are missing or incomplete compared to the reference template (Organization, Product, FAQPage, Article, etc.) and proposes a draft markup ready to paste. The AI-fill variant uses the page content to pre-populate the fields.

When to use it

  • When the audit flags low LLM pickup on high-value pages.
  • On new launch pages, to start with a clean schema from day one.
  • For routine technical audits: schema ages, best practices change.

Required inputs

  • url (required): the page to analyse.
  • store_id (optional, for the metered AI-fill variant).

Example output

{
  "missing": ["Product", "FAQPage"],
  "present": ["Organization"],
  "suggested_jsonld": {
    "Product": "<script type=\"application/ld+json\">...</script>"
  }
}