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What does the Schema Markup skill do?

Structured data implementation, validation, and optimization. Covers JSON-LD patterns for 20+ schema types, rich snippet eligibility, AI search visibility, Knowledge Graph optimization, and CMS-specific deployment guides. It is listed under Coding & Dev Tools on SkillMD.

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Is Schema Markup free to use?

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Who published Schema Markup?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Schema Markup by majiayu000 — Agent Skill

Name: Schema Markup
Rating: 4.2 (5 reviews)
Author: majiayu000

Schema Markup Implementation

Production-grade structured data implementation covering 20+ schema types, rich result eligibility rules, AI search optimization, and CMS-specific deployment patterns. Handles auditing existing markup, implementing new schema, and fixing validation errors.

Operating Modes
Schema Type Selection Matrix
Implementation Patterns
Rich Result Eligibility Rules
AI Search Optimization
Knowledge Graph Strategy
CMS Deployment Guide
Validation and Testing
Common Errors and Fixes
Audit Framework
Output Artifacts
Related Skills

Clarify First

Before generating the schema, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Page type & operating mode — audit existing, implement new, or fix errors; and on what page type (Article, Product, FAQPage, LocalBusiness…) — selects the schema type and workflow
Target rich result or AI-search goal — which rich result or citation you want to win — sets the required-field checklist and eligibility rules
CMS / deployment platform — WordPress, Webflow, Shopify, Next.js, or static — drives the deployment method and known warnings (e.g. GTM injection)
Source page content — the real headline/author/price/Q&A to populate — schema must match visible content or Google penalizes it

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Operating Modes

Mode 1: Audit Existing Markup

Extract all JSON-LD blocks from the page source
Validate required vs recommended fields per schema type
Cross-reference with Google's current rich result requirements
Score completeness 0-100 per schema block
Deliver prioritized fix list with corrected JSON-LD

Mode 2: Implement New Schema

Identify page type and matching schema types
Select primary + supporting schema combination
Generate complete, copy-paste-ready JSON-LD populated with page content
Advise on placement method (inline head, CMS plugin, server-side rendering)
Test before deployment

Mode 3: Fix Validation Errors

Map Google Search Console errors to specific fields
Identify root cause (missing field, wrong format, content mismatch)
Deliver corrected JSON-LD with change log
Explain the fix to prevent recurrence

Schema Type Selection Matrix

Primary Schema by Page Type

Page Type	Primary Schema	Supporting Schema	Rich Result Type
Homepage	Organization	WebSite + SearchAction	Sitelinks search box
Blog post	Article	BreadcrumbList, Person (author), ImageObject	Article card
How-to guide	HowTo	Article, BreadcrumbList, ImageObject	How-to steps
FAQ page	FAQPage	BreadcrumbList	FAQ dropdowns
Product page	Product	Offer, AggregateRating, Review, BreadcrumbList	Product card
Local business	LocalBusiness	OpeningHoursSpecification, GeoCoordinates, PostalAddress	Local pack
Video page	VideoObject	Article (if embedded)	Video card
Category page	CollectionPage	BreadcrumbList, ItemList	--
Event page	Event	Organization, Place, Offer	Event listing
Recipe	Recipe	NutritionInformation, AggregateRating	Recipe card
Course	Course	Organization, Offer	Course listing
Software/App	SoftwareApplication	Offer, AggregateRating	Software card
Job posting	JobPosting	Organization, Place	Job listing
Review page	Review	Product or LocalBusiness, Rating	Review snippet
Podcast episode	PodcastEpisode	PodcastSeries, Person	Podcast card
Author page	Person	sameAs links	Knowledge Panel
Company page	Organization	sameAs links, ContactPoint	Knowledge Panel
Breadcrumb trail	BreadcrumbList	--	Breadcrumb rich result
Site navigation	SiteNavigationElement	--	--
Dataset	Dataset	DataCatalog	Dataset search

Stacking Rules

Always add:

BreadcrumbList to any non-homepage if breadcrumbs exist on the page
Organization to the homepage (site-wide identity)

Common valid stacks:

Article + BreadcrumbList + Person + ImageObject (blog posts)
Product + Offer + AggregateRating + BreadcrumbList (product pages)
LocalBusiness + OpeningHoursSpecification + GeoCoordinates + Review (local pages)
HowTo + Article + BreadcrumbList + ImageObject (guides)

Never combine:

Product on a page that does not sell a product (Google penalizes misuse)
Multiple Organization blocks for the same entity (combine into one)
FAQPage on pages where the Q&A is not visible to users

Implementation Patterns

JSON-LD Format (Always Use This)

JSON-LD is the only format worth implementing. Google recommends it, it lives in the <head>, and it does not touch your HTML markup. Microdata and RDFa are legacy -- do not use them for new implementations.

Placement

<head>
  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Article",
    "headline": "Your Article Title",
    "author": {
      "@type": "Person",
      "name": "Author Name",
      "url": "https://example.com/authors/name",
      "sameAs": ["https://linkedin.com/in/name", "https://twitter.com/name"]
    },
    "datePublished": "2026-01-15",
    "dateModified": "2026-03-01",
    "image": "https://example.com/images/article-hero.jpg",
    "publisher": {
      "@type": "Organization",
      "name": "Company Name",
      "logo": {
        "@type": "ImageObject",
        "url": "https://example.com/logo.png"
      }
    }
  }
  </script>
</head>

Multiple <script type="application/ld+json"> blocks per page are valid. Use separate blocks for unrelated schema types. Nest related types within one block.

Scope Rules

Scope	Schema	Placement
Site-wide	Organization, WebSite + SearchAction	Homepage template header
Per-page	Article, Product, HowTo, FAQPage	Page-specific head injection
Per-element	BreadcrumbList	Every non-homepage
Conditional	Event, JobPosting	Only on pages with that content type

Rich Result Eligibility Rules

Google does not give rich results for all valid schema. These are the current requirements (as of 2026):

Article Rich Result

Field	Required	Notes
headline	Yes	Must match visible page title
image	Yes	Must be crawlable, min 1200px wide
datePublished	Yes	ISO 8601 format
dateModified	Recommended	Must be >= datePublished
author.name	Yes	Must match a real person or organization
author.url	Recommended	Links to author page
publisher.name	Yes
publisher.logo	Yes	Max 600x60px

Product Rich Result

Field	Required	Notes
name	Yes	Product name
image	Yes	Product photo
offers.price	Yes	Numeric value
offers.priceCurrency	Yes	ISO 4217 code
offers.availability	Recommended	Use schema.org/InStock etc.
aggregateRating.ratingValue	Recommended	Numeric
aggregateRating.reviewCount	Recommended	Integer
review	Recommended	At least 1 review

FAQPage Rich Result

Field	Required	Notes
mainEntity	Yes	Array of Question items
Question.name	Yes	The question text
Question.acceptedAnswer.text	Yes	The answer text
Visible on page	Yes	Q&A must be visible to users, not hidden

HowTo Rich Result

Field	Required	Notes
name	Yes	Title of the how-to
step	Yes	Array of HowToStep items
step.name	Yes	Step title
step.text	Yes	Step description
image	Recommended	Per-step or overall
totalTime	Recommended	ISO 8601 duration

AI Search Optimization

AI search systems (Google AI Overviews, Perplexity, ChatGPT Search, Bing Copilot) use structured data for content understanding, citation decisions, and entity recognition.

Why Schema Matters for AI Search

Content type classification -- AI systems use @type to determine if content is a how-to, product listing, FAQ, or opinion piece
Citation eligibility -- FAQPage and HowTo schema increase citation likelihood because AI systems can extract structured Q&A and step-by-step content directly
Freshness signals -- datePublished and dateModified help AI systems filter by recency
Authority signals -- author with sameAs links to known profiles boosts entity recognition
Entity connection -- Organization with sameAs links to Wikidata, LinkedIn, and social profiles strengthens entity resolution

AI Search Schema Playbook

Action	Priority	Impact
Add FAQPage schema to any page with Q&A content (even 3 questions)	High	Direct citation in AI answers
Add author Person schema with sameAs to LinkedIn, Twitter, Google Scholar	High	Author entity recognition
Add Organization with sameAs to Wikidata, LinkedIn, Crunchbase	High	Brand entity recognition
Keep dateModified accurate on every content update	Medium	Freshness filtering
Add HowTo schema to process/tutorial content	Medium	Step-by-step citation
Add SoftwareApplication schema to tool/product pages	Medium	Product recognition in AI answers

Knowledge Graph Strategy

Getting into Google's Knowledge Graph means your entity (person, company, product) is recognized and displayed in panels, AI answers, and cross-referenced searches.

Knowledge Graph Entry Requirements

Wikidata entry -- Create or claim your entity on Wikidata.org
Wikipedia presence -- A Wikipedia article dramatically increases KG entry probability
Consistent NAP -- Name, Address, Phone must be identical across all citations
sameAs network -- Organization schema must link to all official profiles

sameAs Best Practices

{
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://yourcompany.com",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q12345678",
    "https://en.wikipedia.org/wiki/Your_Company",
    "https://www.linkedin.com/company/yourcompany",
    "https://twitter.com/yourcompany",
    "https://www.crunchbase.com/organization/yourcompany",
    "https://github.com/yourcompany"
  ]
}

Order of importance for sameAs links:

Wikidata (strongest entity signal)
Wikipedia
LinkedIn
Official social profiles
Industry directories (Crunchbase, G2, Capterra)

CMS Deployment Guide

WordPress

Yoast SEO / Rank Math: Auto-generate Article, Organization, BreadcrumbList. Add custom schema via their blocks for HowTo and FAQPage.
Custom schema: Add via wp_head action hook or a custom plugin.
Avoid: Plugins that inject schema via JavaScript (Google may not render it).

Webflow

Per-page: Add custom code in page settings > Custom Code > Head
CMS-driven: Use Webflow CMS to generate dynamic JSON-LD via embedded code blocks with CMS field references
Site-wide: Add Organization schema in Project Settings > Custom Code > Head

Shopify

Product schema: Auto-generated by most themes. Verify it includes Offer and AggregateRating.
Article/Blog schema: Usually missing -- add manually via theme.liquid or a schema app.
Organization: Add to theme.liquid <head> section.

Next.js / Custom React

Server-side rendering: Generate JSON-LD in the page component and render in <Head>.
next-seo library: Provides schema components for common types.
Dynamic pages: Generate schema from your data layer, not hardcoded.

Static sites (Hugo, Jekyll, Gatsby)

Template-level: Add JSON-LD to layout templates using template variables.
Per-page: Use frontmatter data to populate schema fields dynamically.

Google Tag Manager (GTM)

Warning: GTM-injected schema is often NOT indexed by Google because it renders client-side after JavaScript execution.
Use only when: No other option exists (no CMS access, no dev resources).
Better alternative: Server-side injection via CMS or template engine.

Validation and Testing

Three-Layer Validation

Test every schema implementation with all three tools before deployment:

Tool	URL	What It Checks
Google Rich Results Test	search.google.com/test/rich-results	Google's parser, rich result eligibility
Schema.org Validator	validator.schema.org	Full spec compliance (broader than Google)
Google Search Console	Enhancements section	Real-world errors at scale, post-deployment

Validation Workflow

Pre-deployment: Rich Results Test + Schema.org Validator on the rendered HTML
Post-deployment (day 1): Check page is crawled via URL Inspection tool in GSC
Post-deployment (week 2-4): Check Enhancements section in GSC for errors at scale
Ongoing (monthly): Monitor GSC Enhancements for new errors from content updates

Common Errors and Fixes

Error	Root Cause	Fix
Missing `@context`	Schema block has no context declaration	Add `"@context": "https://schema.org"`
Missing required field	A required property is absent	Add the field with real content from the page
`image` URL is relative	`/image.jpg` instead of absolute URL	Use `https://example.com/image.jpg`
`dateModified` < `datePublished`	Impossible date relationship	Ensure dateModified >= datePublished
Markup does not match page content	Schema claims content not visible to users	Only add schema for content actually on the page
Deprecated property	Using old schema.org property names	Check current spec at schema.org
Nested type conflict	Product inside Article incorrectly	Keep types flat or use proper @graph nesting
Date format wrong	Not ISO 8601	Use `"2026-01-15"` or `"2026-01-15T10:30:00Z"`
Empty string values	`"name": ""` passes syntax but fails semantics	Use real values, never empty strings
Array expected, single value given	`mainEntity` needs array for FAQPage	Wrap in `[]` array brackets
Logo too large	Publisher logo exceeds 600x60px	Resize or use a different logo format
GTM injection not indexed	Client-side rendering	Move to server-side `<head>` injection

Audit Framework

Audit Scorecard (0-100)

Dimension	Weight	Scoring
Required fields present	40%	-10 per missing required field
Recommended fields present	15%	-3 per missing recommended field
Rich result eligibility	20%	Binary: eligible or not
Content-markup match	15%	-5 per mismatch between schema and visible content
sameAs and entity signals	10%	-5 per missing major platform link

Priority Classification

Priority	Criteria	Action
P0 Critical	Required field missing, blocks rich result	Fix immediately
P1 High	Recommended field missing, reduces eligibility	Fix this week
P2 Medium	Content mismatch, deprecated property	Fix this month
P3 Low	Missing sameAs link, optional enhancement	Add when convenient

Output Artifacts

Artifact	Format	Description
Schema Audit Report	Scored table	Per-page schema inventory, completeness score, priority fixes
JSON-LD Implementation	Copy-paste code blocks	Complete schema for each page type, populated with placeholder values marked clearly
Error Fix Log	Before/after JSON-LD	Each fix explained with root cause and prevention
AI Search Gap Analysis	Recommendation table	Missing entity markup, FAQPage opportunities, sameAs gaps
CMS Implementation Guide	Step-by-step instructions	Platform-specific deployment instructions
Rich Result Eligibility Matrix	Page type x schema x eligibility	Which pages qualify for which rich result types

Related Skills

seo-audit -- For full technical and content SEO audits spanning beyond structured data. Use when the problem is broader than schema.
site-architecture -- For URL structure and navigation. Use when architecture is the root cause, not schema.
programmatic-seo -- For sites with thousands of pages that need schema at scale. Schema patterns feed into pSEO template design.
content-creator -- For content creation. Use before implementing Article schema to ensure content quality.

Troubleshooting

Problem	Likely Cause	Fix
Schema passes validation but no rich results appear	Missing required fields for rich result eligibility, or Google has not recrawled	Verify against Google Rich Results Test (not just schema.org validator); request reindexing via GSC
FAQPage schema not generating FAQ dropdowns	Questions not visible to users on the page, or site lacks sufficient authority	Ensure Q&A content is visible in page HTML, not hidden behind tabs or JS toggles
Product schema shows "missing field" warnings in GSC	Required fields (price, availability, review) absent or malformed	Add all required Product + Offer fields; use ISO 4217 for currency, schema.org/InStock for availability
GTM-injected schema not being indexed	Client-side rendering — Google may not execute GTM JavaScript for schema	Move schema from GTM to server-side `<head>` injection; GTM schema is unreliable for indexing
dateModified older than datePublished	Data entry error or CMS auto-populating incorrectly	Ensure dateModified >= datePublished; audit CMS date field logic
Multiple conflicting Organization blocks	Different plugins or templates injecting separate Organization schema	Consolidate into a single Organization block on the homepage; remove duplicates
Schema validated but Google shows "content mismatch"	Schema claims content not actually visible to users on the page	Only add schema for content physically present on the page — never fake or hidden content

Success Criteria

Rich result eligibility: 100% of content pages with appropriate schema types eligible for rich results per Google Rich Results Test
Validation pass rate: Zero errors in Google Search Console Enhancements reports across all schema types
Rich result CTR boost: Structured data pages achieving 20-35% higher CTR than non-structured pages (2026 benchmark from SearchPilot testing)
AI citation impact: FAQPage and HowTo schema present on all informational content pages to maximize AI extraction
Entity recognition: Organization schema with 5+ sameAs links deployed site-wide; brand appearing in Knowledge Graph
Coverage breadth: Schema implemented on 95%+ of indexable pages (BreadcrumbList minimum, content-specific types on relevant pages)
Freshness accuracy: dateModified updated within 24 hours of every content change across all Article schema

Scope & Limitations

In scope:

Schema type selection and JSON-LD implementation for 20+ schema types
Rich result eligibility verification and optimization
AI search visibility through structured data
Knowledge Graph entity optimization
Schema validation, testing, and error resolution
CMS-specific deployment guidance (WordPress, Webflow, Shopify, Next.js)

Out of scope:

Content creation for schema-eligible pages (use Content Production)
Technical SEO beyond structured data (use SEO Audit)
Microdata or RDFa implementations (JSON-LD only — Google's recommendation)
Custom schema.org extensions or vocabulary proposals
Server-side rendering implementation
CMS plugin development

Known limitations:

Google does not guarantee rich results even with valid schema — authority and content quality also factor in
GTM-injected schema is frequently not indexed — server-side deployment is required for reliability
Schema.org spec updates faster than Google's support — not all valid types generate rich results
Rich result types can be deprecated with minimal notice (e.g., HowTo rich results were restricted in 2023)
Structured data CTR impact varies by industry and SERP features present

Scripts

# Validate JSON-LD schema from a file or URL
python scripts/schema_validator.py --file schema.json --json

# Audit a page for schema coverage and completeness
python scripts/schema_validator.py --html page.html --verbose

# Generate JSON-LD templates for common page types
python scripts/schema_generator.py --type Article --title "My Post" --author "Jane" --json