/geo-schema
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
$ npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-schema --agent claude-codeHow it fires
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/geo-schema
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Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
SKILL.md
geo-schema.SKILL.mdname: geo-schema
description: Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
version: 1.0.0
author: geo-seo-claude
tags: [geo, schema, structured-data, json-ld, entity-recognition, ai-discoverability]
allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write
GEO Schema & Structured Data
Purpose
Structured data is the primary machine-readable signal that tells AI systems what an entity IS, what it does, and how it connects to other entities. While schema markup has traditionally been about earning Google rich results, its role in GEO is fundamentally different: **structured data is how AI models understand and trust your entity**. A complete entity graph in structured data dramatically increases citation probability across all AI search platforms.
How to Use This Skill
1. Fetch the target page HTML using `fetch_page.py` (see note below) 2. Detect all existing structured data (JSON-LD, Microdata, RDFa) 3. Validate detected schemas against Schema.org specifications 4. Identify missing recommended schemas based on business type 5. Generate ready-to-use JSON-LD code blocks 6. Output GEO-SCHEMA-REPORT.md
---
Step 1: Detection
**IMPORTANT:** WebFetch converts HTML to markdown and strips `<head>` content, which removes JSON-LD blocks. Use `fetch_page.py` instead:
python3 ~/.claude/skills/geo/scripts/fetch_page.py <url> page
The output includes a `structured_data` array with all parsed JSON-LD blocks from the page.
Scan for JSON-LD
Look for `<script type="application/ld+json">` blocks in the HTML. Parse each block as JSON. A page may contain multiple JSON-LD blocks — collect all of them.
Scan for Microdata
Look for elements with `itemscope`, `itemtype`, and `itemprop` attributes. Map the hierarchy of nested items. Note: Microdata is harder for AI crawlers to parse than JSON-LD. Flag a recommendation to migrate to JSON-LD if Microdata is the only format found.
Scan for RDFa
Look for elements with `typeof`, `property`, and `vocab` attributes. Similar to Microdata — recommend migration to JSON-LD.
Priority Order
JSON-LD is the **strongly recommended format** for GEO. Google, Bing, and AI platforms all process JSON-LD most reliably. If the site uses Microdata or RDFa exclusively, flag this as a high-priority migration.
---
Step 2: Validation
For each detected schema block, validate:
1. **Valid JSON**: Is the JSON-LD syntactically valid? Check for trailing commas, unquoted keys, malformed strings. 2. **Valid @type**: Does the `@type` match a recognized Schema.org type? Check against https://schema.org/docs/full.html. 3. **Required Properties**: Does the schema include all required properties for its type? (See per-type requirements below.) 4. **Recommended Properties**: Does the schema include recommended properties that increase AI discoverability? 5. **sameAs Links**: Does the schema include `sameAs` properties linking to other platform presences? 6. **URL Validity**: Do all URLs in the schema resolve (not 404)? 7. **Nesting**: Is the schema properly nested (e.g., author inside Article, address inside Organization)? 8. **Rendering Method**: Is the JSON-LD in the server-rendered HTML or injected via JavaScript? Per Google's December 2025 guidance, **JavaScript-injected structured data may face delayed processing**. Flag any schema that requires JS execution.
---
Step 3: Schema Types for GEO
Organization (CRITICAL — every business site)
Essential for entity recognition across all AI platforms. This is how AI models identify WHAT the business is.
**Required properties:**
- `@type`: "Organization" (or subtype: Corporation, LocalBusiness, etc.)
- `name`: Official business name
- `url`: Official website URL
- `logo`: URL to logo image (ImageObject preferred)
**Recommended properties for GEO:**
- `sameAs`: Array of ALL platform URLs (see sameAs strategy below)
- `description`: 1-2 sentence description of the organization
- `foundingDate`: ISO 8601 date
- `founder`: Person schema
- `address`: PostalAddress schema
- `contactPoint`: ContactPoint with telephone, email, contactType
- `areaServed`: Geographic area
- `numberOfEmployees`: QuantitativeValue
- `industry`: Text or DefinedTerm
- `award`: Array of awards received
- `knowsAbout`: Array of topics the organization is expert in (strong GEO signal)
LocalBusiness (for businesses with physical locations)
Extends Organization. Critical for local AI search results and Google Gemini.
**Additional required properties:**
- `address`: Full PostalAddress
- `telephone`: Phone number
- `openingHoursSpecification`: Operating hours
**Recommended for GEO:**
- `geo`: GeoCoordinates (latitude, longitude)
- `priceRange`: Price indicator
- `aggregateRating`: AggregateRating schema
- `review`: Array of Review schemas
- `hasMap`: URL to Google Maps
Article + Author (CRITICAL for publishers)
The Author schema is one of the strongest E-E-A-T signals for AI platforms.
**Article required:**
- `@type`: "Article" (or NewsArticle, BlogPosting, TechArticle)
- `headline`: Article title
- `datePublished`: ISO 8601
- `dateModified`: ISO 8601 (critical for freshness signals)
- `author`: Person or Organization schema
- `publisher`: Organization schema with logo
- `image`: Representative image
**Author (Person) required for GEO:**
- `name`: Full name
- `url`: Author page URL on the site
- `sameAs`: LinkedIn, Twitter, personal site, Google Scholar, ORCID
- `jobTitle`: Professional title
- `worksFor`: Organization schema
- `knowsAbout`: Array of expertise areas
- `alumniOf`: Educational institutions
- `award`: Professional awards
Product (for e-commerce)
**Required:**
- `name`, `description`, `image`
- `offers`: Offer with price, priceCurrency, availability
- `brand`: Brand schema
- `sku` or `gtin`/`mpn`
**Recommended for GEO:**
- `aggregateRating`: AggregateRating
- `review`: Array of individual reviews
- `category`:
Read more
name: geo-schema description: Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup version: 1.0.0 author: geo-seo-claude tags: [geo, schema, structured-data, json-ld, entity-recognition, ai-discoverability] allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write
GEO Schema & Structured Data
Purpose
Structured data is the primary machine-readable signal that tells AI systems what an entity IS, what it does, and how it connects to other entities. While schema markup has traditionally been about earning Google rich results, its role in GEO is fundamentally different: **structured data is how AI models understand and trust your entity**. A complete entity graph in structured data dramatically increases citation probability across all AI search platforms.
How to Use This Skill
1. Fetch the target page HTML using `fetch_page.py` (see note below) 2. Detect all existing structured data (JSON-LD, Microdata, RDFa) 3. Validate detected schemas against Schema.org specifications 4. Identify missing recommended schemas based on business type 5. Generate ready-to-use JSON-LD code blocks 6. Output GEO-SCHEMA-REPORT.md
---
Step 1: Detection
**IMPORTANT:** WebFetch converts HTML to markdown and strips `<head>` content, which removes JSON-LD blocks. Use `fetch_page.py` instead:
python3 ~/.claude/skills/geo/scripts/fetch_page.py <url> page
The output includes a `structured_data` array with all parsed JSON-LD blocks from the page.
Scan for JSON-LD
Look for `<script type="application/ld+json">` blocks in the HTML. Parse each block as JSON. A page may contain multiple JSON-LD blocks — collect all of them.
Scan for Microdata
Look for elements with `itemscope`, `itemtype`, and `itemprop` attributes. Map the hierarchy of nested items. Note: Microdata is harder for AI crawlers to parse than JSON-LD. Flag a recommendation to migrate to JSON-LD if Microdata is the only format found.
Scan for RDFa
Look for elements with `typeof`, `property`, and `vocab` attributes. Similar to Microdata — recommend migration to JSON-LD.
Priority Order
JSON-LD is the **strongly recommended format** for GEO. Google, Bing, and AI platforms all process JSON-LD most reliably. If the site uses Microdata or RDFa exclusively, flag this as a high-priority migration.
---
Step 2: Validation
For each detected schema block, validate:
1. **Valid JSON**: Is the JSON-LD syntactically valid? Check for trailing commas, unquoted keys, malformed strings. 2. **Valid @type**: Does the `@type` match a recognized Schema.org type? Check against https://schema.org/docs/full.html. 3. **Required Properties**: Does the schema include all required properties for its type? (See per-type requirements below.) 4. **Recommended Properties**: Does the schema include recommended properties that increase AI discoverability? 5. **sameAs Links**: Does the schema include `sameAs` properties linking to other platform presences? 6. **URL Validity**: Do all URLs in the schema resolve (not 404)? 7. **Nesting**: Is the schema properly nested (e.g., author inside Article, address inside Organization)? 8. **Rendering Method**: Is the JSON-LD in the server-rendered HTML or injected via JavaScript? Per Google's December 2025 guidance, **JavaScript-injected structured data may face delayed processing**. Flag any schema that requires JS execution.
---
Step 3: Schema Types for GEO
Organization (CRITICAL — every business site)
Essential for entity recognition across all AI platforms. This is how AI models identify WHAT the business is.
**Required properties:**
- `@type`: "Organization" (or subtype: Corporation, LocalBusiness, etc.)
- `name`: Official business name
- `url`: Official website URL
- `logo`: URL to logo image (ImageObject preferred)
**Recommended properties for GEO:**
- `sameAs`: Array of ALL platform URLs (see sameAs strategy below)
- `description`: 1-2 sentence description of the organization
- `foundingDate`: ISO 8601 date
- `founder`: Person schema
- `address`: PostalAddress schema
- `contactPoint`: ContactPoint with telephone, email, contactType
- `areaServed`: Geographic area
- `numberOfEmployees`: QuantitativeValue
- `industry`: Text or DefinedTerm
- `award`: Array of awards received
- `knowsAbout`: Array of topics the organization is expert in (strong GEO signal)
LocalBusiness (for businesses with physical locations)
Extends Organization. Critical for local AI search results and Google Gemini.
**Additional required properties:**
- `address`: Full PostalAddress
- `telephone`: Phone number
- `openingHoursSpecification`: Operating hours
**Recommended for GEO:**
- `geo`: GeoCoordinates (latitude, longitude)
- `priceRange`: Price indicator
- `aggregateRating`: AggregateRating schema
- `review`: Array of Review schemas
- `hasMap`: URL to Google Maps
Article + Author (CRITICAL for publishers)
The Author schema is one of the strongest E-E-A-T signals for AI platforms.
**Article required:**
- `@type`: "Article" (or NewsArticle, BlogPosting, TechArticle)
- `headline`: Article title
- `datePublished`: ISO 8601
- `dateModified`: ISO 8601 (critical for freshness signals)
- `author`: Person or Organization schema
- `publisher`: Organization schema with logo
- `image`: Representative image
**Author (Person) required for GEO:**
- `name`: Full name
- `url`: Author page URL on the site
- `sameAs`: LinkedIn, Twitter, personal site, Google Scholar, ORCID
- `jobTitle`: Professional title
- `worksFor`: Organization schema
- `knowsAbout`: Array of expertise areas
- `alumniOf`: Educational institutions
- `award`: Professional awards
Product (for e-commerce)
**Required:**
- `name`, `description`, `image`
- `offers`: Offer with price, priceCurrency, availability
- `brand`: Brand schema
- `sku` or `gtin`/`mpn`
**Recommended for GEO:**
- `aggregateRating`: AggregateRating
- `review`: Array of individual reviews
- `category`:
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
Repo: zubair-trabzada/geo-seo-claude
Other skills on geo-seo-claude.
- /geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with
Open skill - /geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
Open skill - /geo-citability
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
Open skill - /geo-compare
Monthly delta tracking and progress reporting for GEO clients. Compares two GEO audits (baseline vs. current), calculates score improvements across all categories, tracks action item completion, and generates a "here's your progress" client report. Use when user says "compare",
Open skill - /geo-content
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
Open skill - /geo-crawlers
AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map and recommendations for maximizing AI visibility while maintaining appropriate control.
Open skill