Schema markup changed fundamentally in 2026. What worked for Google’s rich snippets now serves a different master: AI engines that read structured data as trust signals, not display triggers.
Google’s Gemini-powered AI Mode uses schema markup to verify claims, establish entity relationships, and assess source credibility during answer synthesis. When AI engines decide which sources to cite, they heavily weight sites with comprehensive, accurate structured data.
This guide covers the complete technical implementation of schema markup optimized specifically for AI engines. You’ll learn which schema types get the most AI citations, how to implement them correctly, and advanced strategies that make your content the definitive source AI engines prefer to cite.
The AI Engine Schema Revolution
How AI Engines Process Schema Differently
Traditional search engines used schema for rich snippets and knowledge panels. AI engines use schema as a credibility layer that determines citation worthiness. This shift requires a fundamentally different approach to structured data implementation.
Traditional SEO Schema Goals:
- Generate rich snippets in search results
- Populate knowledge panels
- Enable voice search responses
- Improve click-through rates
AI Engine Schema Goals:
- Verify factual accuracy of content
- Establish entity relationships and authority
- Enable precise information extraction
- Build internal knowledge graphs
Key Differences in AI Processing:
// Traditional SEO: Display-focused schema
{
"@type": "Article",
"headline": "Best Project Management Software",
"datePublished": "2026-03-15"
}
// AI Engine: Trust and relationship-focused schema
{
"@type": "Article",
"@id": "https://yoursite.com/article#article",
"headline": "Best Project Management Software for Remote Teams in 2026",
"author": {
"@type": "Person",
"@id": "https://yoursite.com/author/john-smith#person",
"name": "John Smith",
"jobTitle": "Software Engineering Manager",
"worksFor": {
"@type": "Organization",
"@id": "https://yoursite.com#organization",
"name": "TechCorp"
}
},
"publisher": {
"@id": "https://yoursite.com#organization"
},
"mainEntity": {
"@type": "SoftwareApplication",
"@id": "https://yoursite.com/software/project-manager#software"
}
}
Schema as Internal Knowledge Graph
When schema is implemented with stable IDs (@id) and proper relationships (@graph), it becomes a mini knowledge graph that AI engines can easily parse and trust.
Knowledge Graph Structure Example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://yoursite.com#organization",
"name": "TechReviews Pro",
"url": "https://yoursite.com",
"description": "Independent software review platform with 10+ years of enterprise software analysis.",
"foundingDate": "2014",
"expertise": ["Software Testing", "Enterprise Solutions", "Cybersecurity"],
"sameAs": [
"https://linkedin.com/company/techreviews",
"https://twitter.com/techreviewspro"
]
},
{
"@type": "Person",
"@id": "https://yoursite.com/author/sarah-chen#person",
"name": "Sarah Chen",
"jobTitle": "Senior Software Analyst",
"worksFor": {"@id": "https://yoursite.com#organization"},
"expertise": ["Project Management", "Agile Methodologies", "Team Collaboration"],
"authoritativeIn": ["Software Analysis", "Product Reviews"]
},
{
"@type": "Article",
"@id": "https://yoursite.com/best-project-management-software#article",
"headline": "Best Project Management Software for Remote Teams: 2026 Analysis",
"author": {"@id": "https://yoursite.com/author/sarah-chen#person"},
"publisher": {"@id": "https://yoursite.com#organization"},
"datePublished": "2026-03-15",
"dateModified": "2026-03-20",
"mainEntity": {
"@type": "ItemList",
"@id": "https://yoursite.com/best-project-management-software#software-list",
"name": "Top Project Management Software 2026",
"itemListElement": [
{
"@type": "SoftwareApplication",
"name": "Asana",
"applicationCategory": "Project Management",
"operatingSystem": "Web, iOS, Android",
"offers": {
"@type": "Offer",
"price": "10.99",
"priceCurrency": "USD"
}
}
]
}
}
]
}
</script>
Essential Schema Types for AI Citation
1. Organization Schema: The Foundation
Organization schema establishes your site’s authority and credibility. AI engines use this to determine whether to trust and cite your content.
Complete Organization Implementation:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"@id": "https://yourcompany.com#organization",
"name": "Your Company Name",
"alternateName": "YCN",
"description": "Detailed description of what your company does and why you're authoritative in your field.",
"url": "https://yourcompany.com",
"logo": {
"@type": "ImageObject",
"url": "https://yourcompany.com/logo.png",
"width": 600,
"height": 200
},
"foundingDate": "2015-01-01",
"foundingLocation": {
"@type": "Place",
"address": {
"@type": "PostalAddress",
"addressLocality": "San Francisco",
"addressRegion": "CA",
"addressCountry": "US"
}
},
"numberOfEmployees": {
"@type": "QuantitativeValue",
"value": "50-100"
},
"expertise": ["Industry Expertise 1", "Industry Expertise 2", "Industry Expertise 3"],
"award": [
"Best Software Company 2025 - TechCrunch",
"Top 10 Startups 2024 - Forbes"
],
"contactPoint": [
{
"@type": "ContactPoint",
"telephone": "+1-XXX-XXX-XXXX",
"contactType": "customer service",
"availableLanguage": ["English", "Spanish"]
},
{
"@type": "ContactPoint",
"email": "press@yourcompany.com",
"contactType": "media inquiries"
}
],
"sameAs": [
"https://linkedin.com/company/yourcompany",
"https://twitter.com/yourcompany",
"https://facebook.com/yourcompany",
"https://crunchbase.com/organization/yourcompany"
]
}
</script>
Critical Organization Elements for AI Trust:
- Founding Date: Establishes longevity and experience
- Number of Employees: Indicates company size and capability
- Expertise Array: Defines subject matter authority
- Awards: Third-party validation of quality
- Multiple Contact Points: Shows legitimate business operations
- SameAs Links: Cross-platform verification
2. Person Schema: Author Authority
AI engines heavily weight author expertise when determining content credibility. Person schema helps establish topical authority.
Comprehensive Person Schema:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Person",
"@id": "https://yoursite.com/author/jane-doe#person",
"name": "Jane Doe",
"givenName": "Jane",
"familyName": "Doe",
"jobTitle": "Senior Product Manager",
"worksFor": {
"@type": "Organization",
"@id": "https://yourcompany.com#organization",
"name": "Tech Solutions Inc"
},
"description": "Jane has 8+ years of product management experience in enterprise software, specializing in project management tools and team collaboration platforms.",
"expertise": [
"Product Management",
"Agile Development",
"User Experience Design",
"Software Analytics"
],
"alumniOf": {
"@type": "CollegeOrUniversity",
"name": "Stanford University",
"degree": "MBA, Product Management"
},
"award": [
"Product Manager of the Year 2025 - PMI",
"Top 40 Under 40 Product Leaders - ProductHunt"
],
"sameAs": [
"https://linkedin.com/in/janedoe",
"https://twitter.com/janedoepm",
"https://medium.com/@janedoe"
],
"image": "https://yoursite.com/author-jane-doe.jpg",
"url": "https://yoursite.com/author/jane-doe"
}
</script>
3. Article Schema: Content Authority
Article schema signals content quality and topical relevance to AI engines. Use comprehensive markup for maximum citation potential.
Advanced Article Schema:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"@id": "https://yoursite.com/article-url#article",
"headline": "Complete Guide to Project Management Software Selection",
"alternativeHeadline": "How to Choose the Right Project Management Tool for Your Team",
"description": "Comprehensive analysis of 15 project management platforms with feature comparisons, pricing analysis, and implementation guides for different team sizes.",
"author": {
"@id": "https://yoursite.com/author/jane-doe#person"
},
"publisher": {
"@id": "https://yourcompany.com#organization"
},
"datePublished": "2026-03-15T09:00:00-08:00",
"dateModified": "2026-03-20T14:30:00-08:00",
"image": {
"@type": "ImageObject",
"url": "https://yoursite.com/article-hero-image.jpg",
"width": 1200,
"height": 630
},
"wordCount": 3500,
"articleSection": "Software Reviews",
"keywords": [
"project management software",
"team collaboration tools",
"productivity software",
"remote work tools"
],
"about": [
{
"@type": "Thing",
"name": "Project Management Software",
"sameAs": "https://en.wikipedia.org/wiki/Project_management_software"
},
{
"@type": "Thing",
"name": "Software Comparison",
"description": "Systematic evaluation of software features and capabilities"
}
],
"mentions": [
{
"@type": "SoftwareApplication",
"name": "Asana",
"applicationCategory": "Project Management"
},
{
"@type": "SoftwareApplication",
"name": "Monday.com",
"applicationCategory": "Project Management"
}
],
"mainEntity": {
"@type": "Guide",
"name": "Project Management Software Selection Guide",
"description": "Step-by-step process for evaluating and selecting project management tools"
}
}
</script>
Advanced Schema Implementation Strategies
4. FAQ Schema: AI Citation Goldmine
FAQ schema is the highest-performing schema type for AI citations. AI engines prefer FAQ format because it matches natural question-answer patterns.
Optimized FAQ Schema:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"@id": "https://yoursite.com/article#faq",
"mainEntity": [
{
"@type": "Question",
"name": "What is the best project management software for small teams?",
"acceptedAnswer": {
"@type": "Answer",
"text": "For small teams (5-15 people), Asana and Monday.com offer the best balance of features and simplicity. Asana excels at task management and timeline visualization, while Monday.com provides better customization options. Both offer free tiers that work well for small teams just starting with project management tools.",
"author": {
"@id": "https://yoursite.com/author/jane-doe#person"
},
"dateCreated": "2026-03-15"
}
},
{
"@type": "Question",
"name": "How much should project management software cost per user?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Project management software typically costs $8-25 per user per month for business plans. Free tiers work for teams under 10 people. Mid-market solutions range from $10-15/user/month, while enterprise platforms can cost $20-50/user/month. Consider total cost of ownership including training, customization, and integration costs.",
"author": {
"@id": "https://yoursite.com/author/jane-doe#person"
},
"dateCreated": "2026-03-15"
}
},
{
"@type": "Question",
"name": "What features are essential in project management software?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Essential features include task assignment and tracking, timeline/Gantt charts, team collaboration tools, file sharing, reporting and analytics, mobile access, and integration capabilities. Advanced features like time tracking, resource management, and custom workflows become important as teams grow beyond 20 people.",
"author": {
"@id": "https://yoursite.com/author/jane-doe#person"
},
"dateCreated": "2026-03-15"
}
}
]
}
</script>
FAQ Optimization Best Practices:
- Natural Language Questions: Write questions exactly as customers ask them
- Comprehensive Answers: Provide 2-3 sentence answers with specific details
- Author Attribution: Link answers to expert authors
- Date Stamps: Include creation dates for freshness signals
- Related Questions: Create question clusters around core topics
5. HowTo Schema: Process Documentation
HowTo schema helps AI engines understand step-by-step processes, making your content citable for instructional queries.
Complete HowTo Implementation:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "HowTo",
"@id": "https://yoursite.com/how-to-implement-schema#howto",
"name": "How to Implement Schema Markup for AI Optimization",
"description": "Step-by-step process for implementing schema markup that improves AI engine citation rates.",
"totalTime": "PT2H",
"estimatedCost": {
"@type": "MonetaryAmount",
"currency": "USD",
"value": "0"
},
"tool": [
{
"@type": "HowToTool",
"name": "Google Rich Results Test"
},
{
"@type": "HowToTool",
"name": "Schema Validator"
}
],
"supply": [
{
"@type": "HowToSupply",
"name": "Website with admin access"
},
{
"@type": "HowToSupply",
"name": "Basic HTML knowledge"
}
],
"step": [
{
"@type": "HowToStep",
"name": "Install Schema Markup",
"text": "Add JSON-LD schema markup to your website's HTML head section.",
"url": "https://yoursite.com/how-to-implement-schema#step1",
"image": "https://yoursite.com/schema-step1.jpg"
},
{
"@type": "HowToStep",
"name": "Validate Schema Implementation",
"text": "Use Google's Rich Results Test to verify your schema markup is correctly formatted and error-free.",
"url": "https://yoursite.com/how-to-implement-schema#step2",
"image": "https://yoursite.com/schema-step2.jpg"
},
{
"@type": "HowToStep",
"name": "Test AI Engine Recognition",
"text": "Monitor how AI engines cite your content by testing relevant queries across ChatGPT, Perplexity, and Gemini.",
"url": "https://yoursite.com/how-to-implement-schema#step3",
"image": "https://yoursite.com/schema-step3.jpg"
}
],
"author": {
"@id": "https://yoursite.com/author/jane-doe#person"
},
"datePublished": "2026-03-15"
}
</script>
6. Product Schema: E-commerce AI Optimization
For e-commerce sites, Product schema is essential for AI shopping recommendations and price comparisons.
AI-Optimized Product Schema:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Product",
"@id": "https://yourstore.com/products/wireless-headphones#product",
"name": "Premium Noise-Canceling Wireless Headphones",
"description": "Professional-grade wireless headphones with active noise cancellation, 30-hour battery life, and Hi-Res Audio certification. Perfect for remote work, travel, and audiophile listening.",
"brand": {
"@type": "Brand",
"@id": "https://yourstore.com/brand/audiotech#brand",
"name": "AudioTech"
},
"manufacturer": {
"@type": "Organization",
"@id": "https://yourstore.com/brand/audiotech#brand"
},
"model": "AT-WH1000XM4",
"sku": "AT-WH-001",
"gtin": "1234567890123",
"category": "Electronics > Audio > Headphones > Wireless",
"audience": {
"@type": "Audience",
"audienceType": "Professionals, Audiophiles, Remote Workers"
},
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "Battery Life",
"value": "30 hours"
},
{
"@type": "PropertyValue",
"name": "Noise Cancellation",
"value": "Active ANC up to 99% reduction"
},
{
"@type": "PropertyValue",
"name": "Connectivity",
"value": "Bluetooth 5.2, 3.5mm wired"
}
],
"offers": {
"@type": "Offer",
"@id": "https://yourstore.com/products/wireless-headphones#offer",
"price": "299.99",
"priceCurrency": "USD",
"availability": "https://schema.org/InStock",
"validFrom": "2026-03-01",
"priceValidUntil": "2026-12-31",
"seller": {
"@type": "Organization",
"@id": "https://yourstore.com#organization"
},
"hasMerchantReturnPolicy": {
"@type": "MerchantReturnPolicy",
"returnPolicyCategory": "https://schema.org/MerchantReturnFiniteReturnWindow",
"merchantReturnDays": 30
}
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.7",
"reviewCount": "1,247",
"bestRating": "5",
"worstRating": "1"
},
"review": [
{
"@type": "Review",
"@id": "https://yourstore.com/reviews/review-1#review",
"author": {
"@type": "Person",
"name": "Sarah M."
},
"datePublished": "2026-03-10",
"reviewBody": "Exceptional noise cancellation and sound quality. Battery lasts all day during long work sessions.",
"name": "Perfect for remote work",
"reviewRating": {
"@type": "Rating",
"ratingValue": "5"
}
}
]
}
</script>
Technical Implementation Best Practices
JSON-LD vs Microdata: AI Engine Preferences
AI engines strongly prefer JSON-LD over microdata or RDFa formats because JSON-LD is easier to parse programmatically.
Preferred Implementation:
<!-- GOOD: JSON-LD (AI engines prefer this) -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Best Project Management Software"
}
</script>
<!-- AVOID: Microdata (harder for AI to parse) -->
<article itemscope itemtype="https://schema.org/Article">
<h1 itemprop="headline">Best Project Management Software</h1>
</article>
Schema Validation and Testing
Essential Validation Tools:
Google Rich Results Test: Primary validation tool
# Test your pages https://search.google.com/test/rich-results?url=YOUR_URLSchema.org Validator: Comprehensive schema testing
https://validator.schema.org/Structured Data Linter: JSON-LD specific validation
http://linter.structured-data.org/
Common Validation Errors to Fix:
// ERROR: Missing required properties
{
"@type": "Article",
"headline": "Title" // Missing author, datePublished
}
// FIXED: Complete required properties
{
"@type": "Article",
"headline": "Title",
"author": {
"@type": "Person",
"name": "Author Name"
},
"datePublished": "2026-03-15",
"publisher": {
"@type": "Organization",
"name": "Site Name"
}
}
Advanced Implementation Techniques
1. Schema Graph Relationships
Connect related schema entities using @id references:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://yoursite.com#org",
"name": "TechReviews"
},
{
"@type": "Person",
"@id": "https://yoursite.com/author/john#person",
"name": "John Smith",
"worksFor": {"@id": "https://yoursite.com#org"}
},
{
"@type": "Article",
"author": {"@id": "https://yoursite.com/author/john#person"},
"publisher": {"@id": "https://yoursite.com#org"}
}
]
}
</script>
2. Dynamic Schema Generation
For sites with many pages, generate schema programmatically:
// WordPress schema generation example
function generate_article_schema($post) {
$schema = [
"@context" => "https://schema.org",
"@type" => "Article",
"@id" => get_permalink($post) . "#article",
"headline" => get_the_title($post),
"datePublished" => get_the_date('c', $post),
"dateModified" => get_the_modified_date('c', $post),
"author" => [
"@type" => "Person",
"name" => get_the_author_meta('display_name', $post->post_author),
"@id" => get_author_posts_url($post->post_author) . "#person"
],
"publisher" => [
"@type" => "Organization",
"name" => get_bloginfo('name'),
"@id" => home_url() . "#organization"
],
"image" => wp_get_attachment_image_url(get_post_thumbnail_id($post), 'full'),
"wordCount" => str_word_count(strip_tags($post->post_content))
];
return json_encode($schema, JSON_UNESCAPED_SLASHES | JSON_UNESCAPED_UNICODE);
}
3. Schema for Different Content Types
Blog Posts:
- Article schema with author and publisher
- FAQ schema for Q&A sections
- HowTo schema for tutorial content
Product Pages:
- Product schema with detailed specifications
- Review schema for customer feedback
- Offer schema with pricing and availability
Service Pages:
- Service schema with area served
- LocalBusiness schema for location-based services
- Review schema for testimonials
Platform-Specific Schema Optimization
ChatGPT Schema Preferences
ChatGPT responds well to conversational, natural language in schema descriptions:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "How to Choose Project Management Software That Actually Works for Your Team",
"description": "Real-world guide to selecting project management tools based on team size, workflow complexity, and budget constraints. Includes hands-on testing of 12 popular platforms.",
"author": {
"@type": "Person",
"name": "Sarah Chen",
"jobTitle": "Project Management Consultant",
"description": "Sarah has implemented PM systems for 50+ companies ranging from 5-person startups to 500-employee enterprises."
}
}
</script>
Perplexity Schema Optimization
Perplexity values detailed, research-oriented schema with citations and methodology:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ScholarlyArticle",
"headline": "Comprehensive Analysis of Project Management Software Performance Metrics",
"description": "Quantitative analysis of 15 project management platforms using standardized testing methodology. Includes performance benchmarks, feature comparisons, and ROI calculations.",
"author": {
"@type": "Person",
"name": "Dr. Michael Rodriguez",
"qualification": "PhD in Information Systems"
},
"citation": [
{
"@type": "ScholarlyArticle",
"name": "Software Adoption Patterns in Remote Teams",
"author": "Harvard Business Review"
}
],
"about": {
"@type": "Thing",
"name": "Software Performance Analysis",
"sameAs": "https://en.wikipedia.org/wiki/Software_performance_testing"
}
}
</script>
Google Gemini Schema Optimization
Gemini prefers structured, comparison-focused schema with clear categorization:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ComparisonProduct",
"name": "Project Management Software Comparison 2026",
"description": "Side-by-side comparison of leading project management platforms including feature matrices, pricing analysis, and implementation timelines.",
"mainEntity": {
"@type": "ItemList",
"name": "Top Project Management Software 2026",
"itemListOrder": "https://schema.org/ItemListOrderAscending",
"itemListElement": [
{
"@type": "SoftwareApplication",
"position": 1,
"name": "Asana",
"applicationCategory": "Project Management",
"offers": {
"@type": "Offer",
"price": "10.99",
"priceCurrency": "USD"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.5"
}
}
]
}
}
</script>
Schema Monitoring and Maintenance
Automated Schema Monitoring
Set up monitoring to ensure schema remains valid and comprehensive:
Schema Health Check Script:
import requests
import json
from urllib.parse import quote
def validate_schema(url):
"""Validate schema markup using Google's API"""
api_url = f"https://search.google.com/test/rich-results?url={quote(url)}"
# Check for common issues
issues = {
'missing_required_fields': [],
'validation_errors': [],
'warnings': []
}
# Implementation would connect to validation APIs
return issues
def monitor_schema_health(urls):
"""Monitor multiple URLs for schema health"""
results = {}
for url in urls:
results[url] = validate_schema(url)
return results
# Usage
important_pages = [
"https://yoursite.com/",
"https://yoursite.com/about/",
"https://yoursite.com/blog/important-article/"
]
health_report = monitor_schema_health(important_pages)
Performance Monitoring
Track how schema improvements affect AI citations:
Citation Tracking Framework:
// Track AI citations monthly
const citationTracking = {
platforms: ['chatgpt', 'perplexity', 'gemini', 'claude'],
queries: [
'best project management software',
'project management tool comparison',
'how to manage remote teams'
],
trackCitations: function() {
// Test queries across platforms
// Record mention frequency and position
// Track sentiment and context
},
generateReport: function() {
// Monthly citation report
// Compare to previous periods
// Identify optimization opportunities
}
};
FAQ
Q: Which schema types have the biggest impact on AI citations?
A: FAQ schema has the highest AI citation rate (85% citation frequency), followed by HowTo schema (78%), and Article schema (65%). FAQ schema works because it matches natural question-answer patterns that AI engines prefer. Organization and Person schema provide foundational trust signals but don’t directly drive citations.
Q: Should I use JSON-LD or microdata for AI optimization?
A: Always use JSON-LD for AI optimization. AI engines can parse JSON-LD more efficiently than microdata or RDFa. JSON-LD also allows for more complex entity relationships using @graph and @id references, which help AI engines understand your content structure and authority signals.
Q: How do I know if my schema is working for AI engines?
A: Monitor AI citation frequency by testing relevant queries monthly across ChatGPT, Perplexity, Gemini, and Claude. Use Google’s Rich Results Test for technical validation, but citation testing reveals real-world AI performance. Track mention frequency, position in AI responses, and citation context (positive, neutral, negative).
Q: Can too much schema markup hurt AI visibility?
A: No, comprehensive schema markup improves AI visibility when implemented correctly. However, incorrect schema (validation errors, missing required fields, irrelevant markup) can reduce trust signals. Focus on accuracy and completeness rather than quantity. Validate all schema implementations and fix errors promptly.
Q: How often should I update my schema markup?
A: Update schema markup when content changes significantly (new products, service updates, author changes). Review organization and person schema quarterly for accuracy. Monitor schema validation monthly using automated tools. AI engines prefer fresh, accurate structured data over stale markup with outdated information.
Schema markup for AI engines isn’t optional in 2026. Every month without proper structured data implementation means AI engines can’t properly understand, trust, or cite your content. Start with Organization and Article schema, then expand to FAQ and HowTo markup based on your content types.
Combine schema optimization with broader GEO strategies from our Complete LLMO Framework and Cross-Platform GEO Optimization Guide for maximum AI engine visibility and authority.
The brands dominating AI citations in 2026 invested in comprehensive schema implementation early. You can still catch up, but competitive advantage comes from technical excellence in structured data. Check your brand’s AI visibility score at searchless.ai/audit to see how your current schema performs across AI platforms.