Page Schema Audit and JSON-LD Implementation
Get page-matched JSON-LD, stable entity IDs, fixes for conflicting markup, and a clear implementation and validation plan.
Before & after
Same prompt, same agent — the only difference is the skill.
Schema markup is definitely worth adding—it helps search engines and AI systems understand your content better, which can improve your search visibility. The main types you'd want for e-commerce are Product schema, Reviews, and maybe Aggregate Rating. You'll need to think about which properties to include and make sure your data is accurate. The format is usually JSON-LD these days. Want me to show you an example of what that looks like?
PRODUCT PAGE SCHEMA MARKUP FORMAT: JSON-LD (embedded in page head) CORE SCHEMA: ProductType FIELDS IMPLEMENTED • name: Product title • description: Full product description • image: Product photo URLs (multiple angles) • brand: Manufacturer/brand name • sku: Product SKU for inventory tracking • mpn: Manufacturer part number • price: Current selling price • priceCurrency: USD • availability: In stock / Pre-order / Out of Stock • aggregateRating: Average star rating + review count • review: Individual customer reviews (rating + text) • offers: Price variations by size/color ADDITIONAL STRUCTURED DATA • BreadcrumbList: Category hierarchy navigation • FAQSchema: Common product questions • Organization: Company contact info in footer VALIDATION • Passes Google Rich Results Test: yes • Passes Schema.org validator: yes • Rich snippet eligible in search results: yes • Voice assistant parsing: verified IMPLEMENTATION • Template placement: In page header (not hidden) • Dynamic data source: Pulls from product database • Cache strategy: Invalidate on price/stock changes • Monitoring: Track schema errors in Google Search Console EXPECTED IMPACT • Rich snippet display in search results • Better structured data for AI crawlers • Enhanced voice search compatibility • 12-18% typical CTR lift from enhanced SERP display READY TO DEPLOY: Copy markup, test in each product template, monitor GSC reports
About this skill
Your schema can pass a syntax check and still describe the wrong page, duplicate your business, or publish a price your visitors cannot find. This skill turns actual page content into connected JSON-LD and repairs conflicting markup without adding unsupported claims.
What it does
- Selects schema types from the page's actual purpose, including cases where no specialized type fits.
- Separates the webpage, business, article, product, and other entities using stable identifiers.
- Reconciles JSON-LD from templates, plugins, and custom code before adding another block.
- Traces marked-up claims to supplied content and flags missing evidence.
- Produces implementation-ready markup or a focused patch, with rules for optional fields and changing values.
- Separates JSON validity, Schema.org meaning, search-feature eligibility, and live deployment verification.
What you get
Page-specific JSON-LD or a targeted repair, plus placement instructions, unresolved inputs, and a validation checklist. For recurring page types, you also get field mappings and omission rules your developer can implement in the template.
Best for
SEOs and developers adding structured data to content sites, business websites, and product pages, especially when multiple tools already generate markup.
SKILL.md preview
---
name: page-schema-audit-and-json-ld-implementation
description: Builds and repairs page-specific JSON-LD by mapping evidenced content to Schema.org entities, reconciling existing markup, and defining implementation and validation checks. Use when the user says "add schema to this page", "fix this JSON-LD", "which schema type should I use", "my schema keeps creating duplicate businesses", "audit our structured data", "turn this page into schema markup", or "our plugin schema conflicts with our custom code".
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# Page Schema Audit and JSON-LD Implementation
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