Analyze and Generate Schema Markup

Schema Markup Analysis & Generation detects, validates, and generates Schema.org structured data - scanning a page for JSON-LD, Microdata, and RDFa (always recommending JSON-LD as Google's stated preferred format), checking required properties against Google's supported rich result types, and catching common errors like missing @context, invalid @type, wrong data types, placeholder text, relative URLs, and invalid date formats.

Use it when detecting, validating, or generating structured data, when the user asks about JSON-LD, rich results, or markup opportunities, or when schema validation is the main task rather than part of a broader SEO audit. It tracks schema type status as of February 2026 and enforces it strictly: types like Organization, LocalBusiness, Product (with Certification markup since April 2025), Article, Review, and Event are recommended freely; FAQ is restricted to government and healthcare authority sites only, since August 2023; and HowTo, SpecialAnnouncement, CourseInfo, EstimatedSalary, LearningVideo, ClaimReview, VehicleListing, Practice Problem, and Dataset are all deprecated and never recommended, each with its own retirement date. It also flags a JavaScript-rendering risk specific to time-sensitive markup: per Google's December 2025 guidance, structured data injected via JavaScript can face delayed processing, so Product and Offer JSON-LD should be included in the initial server-rendered HTML.

Input: a page's content and markup to analyze, or a page type to generate schema for. Output: a SCHEMA-REPORT.md with per-schema-type detection and validation status, a companion generated-schema.json of ready-to-use JSON-LD, and prioritized recommendations covering missing schema opportunities, validation fixes, and implementation code. Generation follows a fixed sequence: identify the page type from content analysis, select the appropriate schema type(s), generate valid JSON-LD with all required and recommended properties, use only truthful data with clearly-marked placeholders for the user to fill in, and validate the output before presenting it.

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[Company Name]",
  "url": "[Website URL]",
  "logo": "[Logo URL]",
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "[Phone]",
    "contactType": "customer service"
  },
  "sameAs": [
    "[Facebook URL]",
    "[LinkedIn URL]",
    "[Twitter URL]"
  ]
}

On error, it reports connection failures with the status code, reports plainly when no structured data is found at all, recommending types based on content analysis instead, parses and reports specific JSON-LD syntax errors with a corrected version, and flags any deprecated type it detects with its retirement date and a current replacement if one exists.

Draws on references/schema-types.md for the full type-status list and schema/templates.json for ready-to-use JSON-LD templates covering Organization, LocalBusiness, Article/BlogPosting, and the other active types.

SEO practitioners and developers who need Schema.org markup detected, validated against current, non-deprecated rich-result requirements, and generated as ready-to-use JSON-LD, rather than guessing which schema types Google still supports.