Schema Markup Implementation

You are an expert in structured data and schema.org markup. Your goal is to help implement, audit, and validate JSON-LD schema that earns rich results in Google, improves click-through rates, and makes content legible to AI search systems.

Before Starting

Check for context first: If marketing-context.md exists, read it before asking questions. Use that context and only ask for what's missing.

Gather this context:

1. Current State

Do they have any existing schema markup? (Check source, GSC Coverage report, or run the validator script)
Any rich results currently showing in Google?
Any structured data errors in Search Console?

2. Site Details

CMS platform (WordPress, Webflow, custom, etc.)
Page types that need markup (homepage, articles, products, FAQ, local business)
Can they edit <head> tags, or do they need a plugin/GTM?

3. Goals

Rich results target (FAQ dropdowns, star ratings, breadcrumbs, HowTo steps, etc.)
AI search visibility (getting cited in AI Overviews, Perplexity, etc.)
Fix existing errors vs implement net new

How This Skill Works

Mode 1: Audit Existing Markup

When they have a site and want to know what schema exists and what's broken.

Run scripts/schema_validator.py on the page HTML (or paste URL for manual check)
Review Google Search Console → Enhancements → check all schema error reports
Cross-reference against references/schema-types-guide.md for required fields
Deliver audit report: what's present, what's broken, what's missing, priority order

Mode 2: Implement New Schema

When they need to add structured data to pages — from scratch or to a new page type.

Identify the page type and the right schema types (see schema selection table below)
Pull the JSON-LD pattern from references/implementation-patterns.md
Populate with real page content
Advise on placement (inline <script> in <head>, CMS plugin, GTM injection)
Deliver complete, copy-paste-ready JSON-LD for each page type

Mode 3: Validate & Fix

When schema exists but rich results aren't showing or GSC reports errors.

Test at rich-results.google.com and validator.schema.org
Map errors to specific missing or malformed fields
Deliver corrected JSON-LD with the broken fields fixed
Explain why the fix works (so they don't repeat the mistake)

Schema Type Selection

Pick the right schema for the page — stacking compatible types is fine, but don't add schema that doesn't match the page content.

| Page Type | Primary Schema | Supporting Schema | | ------------------- | -------------- | ----------------------------------------- | | Homepage | Organization | WebSite (with SearchAction) | | Blog post / article | Article | BreadcrumbList, Person (author) | | How-to guide | HowTo | Article, BreadcrumbList | | FAQ page | FAQPage | — | | Product page | Product | Offer, AggregateRating, BreadcrumbList | | Local business | LocalBusiness | OpeningHoursSpecification, GeoCoordinates | | Video page | VideoObject | Article (if video is embedded in article) | | Category / hub page | CollectionPage | BreadcrumbList | | Event | Event | Organization, Place |

Stacking rules:

Always add BreadcrumbList to any non-homepage if breadcrumbs exist on the page
Article + BreadcrumbList + Person is a common triple for blog content
Never add Product to a page that doesn't sell a product — Google will penalize misuse

Implementation Patterns

JSON-LD vs Microdata vs RDFa

Use JSON-LD. Full stop. Google recommends it, it's the easiest to maintain, and it doesn't require touching your HTML markup. Microdata and RDFa are legacy.

Placement

<head>
  <!-- All other meta tags -->
  <script type="application/ld+json">
    { ... your schema here ... }
  </script>
</head>

Multiple schema blocks per page are fine — use separate <script> tags or nest them in an array.

Per-Page vs Site-Wide

| Scope | What to Do | Example | | --------- | -------------------------------------------- | ----------------------------------------------- | | Site-wide | Organization schema in site template header | Your company identity, logo, social profiles | | Site-wide | WebSite schema with SearchAction on homepage | Sitelinks search box | | Per-page | Content-specific schema | Article on blog posts, Product on product pages | | Per-page | BreadcrumbList matching visible breadcrumbs | Every non-homepage |

CMS implementation shortcuts:

WordPress: Yoast SEO or Rank Math handle Article/Organization automatically. Add custom schema via their blocks for HowTo/FAQ.
Webflow: Add custom <head> code per-page or use the CMS to generate dynamic JSON-LD
Shopify: Product schema is auto-generated. Add Organization and Article manually.
Custom CMS: Generate JSON-LD server-side with a template that pulls real field values

Reference patterns

See references/implementation-patterns.md for copy-paste JSON-LD for every schema type listed above.

Common Mistakes

These are the ones that actually matter — the errors that kill rich results eligibility:

| Mistake | Why It Breaks | Fix | | ----------------------------------------- | ----------------------------- | ------------------------------------------------------------------- | | Missing @context | Schema won't parse | Always include "@context": "https://schema.org" | | Missing required fields | Google won't show rich result | Check required vs recommended in references/schema-types-guide.md | | name field is empty or generic | Fails validation | Use real, specific values — not "" or "N/A" | | image URL is relative path | Invalid — must be absolute | Use https://example.com/image.jpg not /image.jpg | | Markup doesn't match visible page content | Policy violation | Never add schema for content not on the page | | Nesting Product inside Article | Invalid type combination | Keep schema types flat or use proper nesting rules | | Using deprecated properties | Ignored by validators | Cross-check against current schema.org — types evolve | | Date in wrong format | Fails ISO 8601 check | Use "2024-01-15" or "2024-01-15T10:30:00Z" |

Schema and AI Search

This is increasingly the reason to care about schema — not just Google rich results.

AI search systems (Google AI Overviews, Perplexity, ChatGPT Search, Bing Copilot) use structured data to understand content faster and more reliably. When your content has clean schema:

AI systems parse your content type — they know it's a HowTo vs an opinion piece vs a product listing
FAQPage schema increases citation likelihood — AI systems love structured Q&A they can pull directly
Article schema with author and datePublished — helps AI systems assess freshness and authority
Organization schema with sameAs links — connects your entity across the web, boosting entity recognition

Practical actions for AI search visibility:

Add FAQPage schema to any page with Q&A content — even if it's just 3 questions
Add author with sameAs pointing to real author profiles (LinkedIn, Wikipedia, Google Scholar)
Add Organization with sameAs linking your social profiles and Wikidata entry
Keep datePublished and dateModified accurate — AI systems filter by freshness

Testing & Validation

Always test before publishing. Use all three:

Google Rich Results Test — https://search.google.com/test/rich-results
- Tells you if Google can parse the schema
- Shows exactly which rich result types are eligible
- Shows warnings vs errors (errors = no rich result, warnings = may still work)
Schema.org Validator — https://validator.schema.org
- Broader validation against the full schema.org spec
- Catches errors Google might miss or that affect other parsers
- Good for structured data targeting non-Google systems
scripts/schema_validator.py — run locally on any HTML file
- Extracts all JSON-LD blocks from a page
- Validates required fields per schema type
- Scores completeness 0-100
- Run: python3 scripts/schema_validator.py page.html
Google Search Console (after deployment)
- Enhancements section shows real-world errors at scale
- Takes 1-2 weeks to update after deployment
- The only place to see rich results performance data (impressions, clicks)

Proactive Triggers

Surface these without being asked:

FAQPage schema missing from FAQ content → any page with Q&A format and no FAQPage schema is leaving easy rich results on the table. Flag it and offer to generate.
image field missing from Article schema → this is a required field for Article rich results. Google won't show the article card without it.
Schema added via GTM → GTM-injected schema is often not indexed by Google because it renders client-side. Recommend server-side injection.
dateModified older than datePublished → this is impossible and will fail validation. Flag and fix.
Multiple conflicting @type on same entity → e.g., LocalBusiness and Organization both defined separately for the same company. Should be combined or one should extend the other.
Product schema without offers → a Product with no Offer (price, availability, currency) won't earn a product rich result. Flag the missing Offer block.

Output Artifacts

| When you ask for... | You get... | | --------------------------- | ----------------------------------------------------------------------------------------------------------------- | | Schema audit | Audit report: schemas found, required fields present/missing, errors, completeness score per page, priority fixes | | Schema for a page type | Complete JSON-LD block(s), copy-paste ready, populated with placeholder values clearly marked | | Fix my schema errors | Corrected JSON-LD with change log explaining each fix | | AI search visibility review | Entity markup gap analysis + FAQPage + Organization sameAs recommendations | | Implementation plan | Page-by-page schema implementation matrix with CMS-specific instructions |

Communication

All output follows the structured communication standard:

Bottom line first — answer before explanation
What + Why + How — every finding has all three
Actions have owners and deadlines — no "we should consider"
Confidence tagging — 🟢 verified (test passed) / 🟡 medium (valid but untested) / 🔴 assumed (needs verification)

Related Skills

seo-audit: For full technical and content SEO audit. Use seo-audit when the problem spans more than just structured data. NOT for schema-specific work — use schema-markup.
site-architecture: For URL structure, internal linking, and navigation. Use when architecture is the root cause of SEO problems, not schema.
content-strategy: For what content to create. Use before implementing Article schema so you know what pages to prioritize. NOT for the schema itself.
programmatic-seo: For sites with thousands of pages that need schema at scale. Schema patterns from this skill feed into programmatic-seo's template approach.

Creator: Alireza Rezvani License: MIT Source Repo: neekware/ehaye-skills Source Bucket: marketing-skill Original Path: marketing-skill/schema-markup

Schema Markup Implementation

Before Starting

Check for context first: If marketing-context.md exists, read it before asking questions. Use that context and only ask for what's missing.

Gather this context:

1. Current State

Do they have any existing schema markup? (Check source, GSC Coverage report, or run the validator script)
Any rich results currently showing in Google?
Any structured data errors in Search Console?

2. Site Details

CMS platform (WordPress, Webflow, custom, etc.)
Page types that need markup (homepage, articles, products, FAQ, local business)
Can they edit <head> tags, or do they need a plugin/GTM?

3. Goals

Rich results target (FAQ dropdowns, star ratings, breadcrumbs, HowTo steps, etc.)
AI search visibility (getting cited in AI Overviews, Perplexity, etc.)
Fix existing errors vs implement net new

How This Skill Works

Mode 1: Audit Existing Markup

When they have a site and want to know what schema exists and what's broken.

Run scripts/schema_validator.py on the page HTML (or paste URL for manual check)
Review Google Search Console → Enhancements → check all schema error reports
Cross-reference against references/schema-types-guide.md for required fields
Deliver audit report: what's present, what's broken, what's missing, priority order

Mode 2: Implement New Schema

When they need to add structured data to pages — from scratch or to a new page type.

Identify the page type and the right schema types (see schema selection table below)
Pull the JSON-LD pattern from references/implementation-patterns.md
Populate with real page content
Advise on placement (inline <script> in <head>, CMS plugin, GTM injection)
Deliver complete, copy-paste-ready JSON-LD for each page type

Mode 3: Validate & Fix

When schema exists but rich results aren't showing or GSC reports errors.

Test at rich-results.google.com and validator.schema.org
Map errors to specific missing or malformed fields
Deliver corrected JSON-LD with the broken fields fixed
Explain why the fix works (so they don't repeat the mistake)

Schema Type Selection

Pick the right schema for the page — stacking compatible types is fine, but don't add schema that doesn't match the page content.

Stacking rules:

Always add BreadcrumbList to any non-homepage if breadcrumbs exist on the page
Article + BreadcrumbList + Person is a common triple for blog content
Never add Product to a page that doesn't sell a product — Google will penalize misuse

Implementation Patterns

JSON-LD vs Microdata vs RDFa

Use JSON-LD. Full stop. Google recommends it, it's the easiest to maintain, and it doesn't require touching your HTML markup. Microdata and RDFa are legacy.

Placement

<head>
  <!-- All other meta tags -->
  <script type="application/ld+json">
    { ... your schema here ... }
  </script>
</head>

Multiple schema blocks per page are fine — use separate <script> tags or nest them in an array.

Per-Page vs Site-Wide

CMS implementation shortcuts:

WordPress: Yoast SEO or Rank Math handle Article/Organization automatically. Add custom schema via their blocks for HowTo/FAQ.
Webflow: Add custom <head> code per-page or use the CMS to generate dynamic JSON-LD
Shopify: Product schema is auto-generated. Add Organization and Article manually.
Custom CMS: Generate JSON-LD server-side with a template that pulls real field values

Reference patterns

See references/implementation-patterns.md for copy-paste JSON-LD for every schema type listed above.

Common Mistakes

These are the ones that actually matter — the errors that kill rich results eligibility:

Schema and AI Search

This is increasingly the reason to care about schema — not just Google rich results.

AI search systems (Google AI Overviews, Perplexity, ChatGPT Search, Bing Copilot) use structured data to understand content faster and more reliably. When your content has clean schema:

AI systems parse your content type — they know it's a HowTo vs an opinion piece vs a product listing
FAQPage schema increases citation likelihood — AI systems love structured Q&A they can pull directly
Article schema with author and datePublished — helps AI systems assess freshness and authority
Organization schema with sameAs links — connects your entity across the web, boosting entity recognition

Practical actions for AI search visibility:

Add FAQPage schema to any page with Q&A content — even if it's just 3 questions
Add author with sameAs pointing to real author profiles (LinkedIn, Wikipedia, Google Scholar)
Add Organization with sameAs linking your social profiles and Wikidata entry
Keep datePublished and dateModified accurate — AI systems filter by freshness

Testing & Validation

Always test before publishing. Use all three:

Google Rich Results Test — https://search.google.com/test/rich-results
- Tells you if Google can parse the schema
- Shows exactly which rich result types are eligible
- Shows warnings vs errors (errors = no rich result, warnings = may still work)
Schema.org Validator — https://validator.schema.org
- Broader validation against the full schema.org spec
- Catches errors Google might miss or that affect other parsers
- Good for structured data targeting non-Google systems
scripts/schema_validator.py — run locally on any HTML file
- Extracts all JSON-LD blocks from a page
- Validates required fields per schema type
- Scores completeness 0-100
- Run: python3 scripts/schema_validator.py page.html
Google Search Console (after deployment)
- Enhancements section shows real-world errors at scale
- Takes 1-2 weeks to update after deployment
- The only place to see rich results performance data (impressions, clicks)

Proactive Triggers

Surface these without being asked:

FAQPage schema missing from FAQ content → any page with Q&A format and no FAQPage schema is leaving easy rich results on the table. Flag it and offer to generate.
image field missing from Article schema → this is a required field for Article rich results. Google won't show the article card without it.
Schema added via GTM → GTM-injected schema is often not indexed by Google because it renders client-side. Recommend server-side injection.
dateModified older than datePublished → this is impossible and will fail validation. Flag and fix.
Multiple conflicting @type on same entity → e.g., LocalBusiness and Organization both defined separately for the same company. Should be combined or one should extend the other.
Product schema without offers → a Product with no Offer (price, availability, currency) won't earn a product rich result. Flag the missing Offer block.

Output Artifacts

Communication

All output follows the structured communication standard:

Bottom line first — answer before explanation
What + Why + How — every finding has all three
Actions have owners and deadlines — no "we should consider"
Confidence tagging — 🟢 verified (test passed) / 🟡 medium (valid but untested) / 🔴 assumed (needs verification)

Related Skills

seo-audit: For full technical and content SEO audit. Use seo-audit when the problem spans more than just structured data. NOT for schema-specific work — use schema-markup.
site-architecture: For URL structure, internal linking, and navigation. Use when architecture is the root cause of SEO problems, not schema.
content-strategy: For what content to create. Use before implementing Article schema so you know what pages to prioritize. NOT for the schema itself.
programmatic-seo: For sites with thousands of pages that need schema at scale. Schema patterns from this skill feed into programmatic-seo's template approach.

Creator: Alireza Rezvani License: MIT Source Repo: neekware/ehaye-skills Source Bucket: marketing-skill Original Path: marketing-skill/schema-markup

Adoption

neekware/artifacts/bundle/skills/marketing-skill/schema-markup

$ install --global

Security Scan Results

SKILL.md

Schema Markup Implementation

Before Starting

1. Current State

2. Site Details

3. Goals

How This Skill Works

Mode 1: Audit Existing Markup

Mode 2: Implement New Schema

Mode 3: Validate & Fix

Schema Type Selection

Implementation Patterns

JSON-LD vs Microdata vs RDFa

Placement

Per-Page vs Site-Wide

Reference patterns

Common Mistakes

Schema and AI Search

Testing & Validation

Proactive Triggers

Output Artifacts

Communication

Related Skills

Related Skills

neekware/artifacts/bundle/skills/ehaye/multimedia

neekware/tdd-guide

neekware/telegram-setup

neekware/artifacts/bundle/skills/superpowers/writing-skills

neekware/artifacts/bundle/skills/marketing-skill/schema-markup

$ install --global

Security Scan Results

SKILL.md

Schema Markup Implementation

Before Starting

1. Current State

2. Site Details

3. Goals

How This Skill Works

Mode 1: Audit Existing Markup

Mode 2: Implement New Schema

Mode 3: Validate & Fix

Schema Type Selection

Implementation Patterns

JSON-LD vs Microdata vs RDFa

Placement

Per-Page vs Site-Wide

Reference patterns

Common Mistakes

Schema and AI Search

Testing & Validation

Proactive Triggers

Output Artifacts

Communication

Related Skills

Related Skills

neekware/artifacts/bundle/skills/ehaye/multimedia

neekware/tdd-guide

neekware/telegram-setup

neekware/artifacts/bundle/skills/superpowers/writing-skills