SOP 003: Schema Markup for Machine Trust

Fresh

Document Control
SOP ID	SOP-003
Version	1.0
Category	Technical Foundation
Complexity	Medium
Source	Machine Trust: Authority, Rebuilt for Retrieval

Purpose

Schema markup helps machines understand relationships between entities, verify content ownership, and establish trust signals. This procedure covers implementing schema that enhances AI retrieval and citation.

Why Schema Matters for AI

┌─────────────────────────────────────────────────────────────────────┐
│                    SCHEMA FOR AI SYSTEMS                             │
├─────────────────────────────────────────────────────────────────────┤
│                                                                      │
│   Without Schema                With Schema                         │
│   ──────────────                ───────────                         │
│   "Some company wrote          "TechCorp Inc (verified org)         │
│   about AI tools"              published via Dr. Jane Doe           │
│                                (verified author) on 2025-12-01"     │
│                                                                      │
│   Result: Low trust            Result: High trust                   │
│   Result: Rarely cited         Result: Frequently cited             │
│                                                                      │
└─────────────────────────────────────────────────────────────────────┘

Procedure

Step 1: Implement Organization Schema

Add to every page (typically in the header):

json

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company Name",
  "url": "https://yoursite.com",
  "logo": "https://yoursite.com/logo.png",
  "sameAs": [
    "https://linkedin.com/company/yourcompany",
    "https://twitter.com/yourcompany",
    "https://facebook.com/yourcompany"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+1-555-555-5555",
    "contactType": "customer service"
  }
}

Step 2: Implement Person Schema for Authors

For every content author:

json

{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Dr. Jane Doe",
  "jobTitle": "Head of AI Research",
  "worksFor": {
    "@type": "Organization",
    "name": "Your Company"
  },
  "sameAs": [
    "https://linkedin.com/in/janedoe",
    "https://twitter.com/janedoe",
    "https://orcid.org/0000-0001-2345-6789"
  ],
  "alumniOf": {
    "@type": "Organization",
    "name": "Stanford University"
  },
  "knowsAbout": ["Artificial Intelligence", "Machine Learning"]
}

Step 3: Implement Article Schema

For blog posts and articles:

json

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "description": "Brief description of the article",
  "author": {
    "@type": "Person",
    "name": "Dr. Jane Doe",
    "url": "https://yoursite.com/authors/jane-doe"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Your Company",
    "logo": {
      "@type": "ImageObject",
      "url": "https://yoursite.com/logo.png"
    }
  },
  "datePublished": "2025-12-01",
  "dateModified": "2025-12-15",
  "mainEntityOfPage": "https://yoursite.com/article-url"
}

Step 4: Add FAQPage Schema

For content with questions and answers:

json

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is content chunking?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Content chunking is the process of breaking content into logical blocks of 100-300 tokens for optimal AI retrieval."
      }
    },
    {
      "@type": "Question",
      "name": "Why does chunk size matter?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "LLMs retrieve and score individual chunks, not full pages. Properly sized chunks improve semantic matching."
      }
    }
  ]
}

Step 5: Implement HowTo Schema

For procedural content:

json

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Optimize Content for AI Retrieval",
  "description": "Step-by-step guide to structuring content for LLM systems",
  "step": [
    {
      "@type": "HowToStep",
      "name": "Audit existing content",
      "text": "Review current structure for chunk-friendly organization"
    },
    {
      "@type": "HowToStep",
      "name": "Define chunk boundaries",
      "text": "Break content into 100-300 token blocks with single ideas"
    }
  ]
}

Step 6: Validate Schema

Use Google's Rich Results Test
Use Schema.org Validator
Check for errors and warnings
Test on multiple pages

Priority Schema Types

Schema Type	Priority	Use Case
Organization	Critical	Every site
Person	Critical	Author attribution
Article	High	Blog/news content
FAQPage	High	Q&A content
HowTo	High	Tutorials/guides
Product	Medium	E-commerce
LocalBusiness	Medium	Physical locations
WebPage	Medium	Generic pages

Verification Checklist

[ ] Organization schema on all pages
[ ] Person schema for all authors
[ ] Article schema on blog posts
[ ] FAQPage schema where applicable
[ ] HowTo schema for procedural content
[ ] All sameAs links are valid
[ ] Dates are in ISO 8601 format
[ ] Schema validates without errors

Common Mistakes

Mistake	Impact	Fix
Missing sameAs links	Reduced entity verification	Add all official profile URLs
Inconsistent names	Entity confusion	Use exact same name everywhere
Missing author schema	Low trust signals	Add Person schema for authors
Outdated dates	Freshness penalty	Update dateModified regularly

SOP 003: Schema Markup for Machine Trust ​

Purpose ​

Why Schema Matters for AI ​

Procedure ​

Step 1: Implement Organization Schema ​

Step 2: Implement Person Schema for Authors ​

Step 3: Implement Article Schema ​

Step 4: Add FAQPage Schema ​

Step 5: Implement HowTo Schema ​

Step 6: Validate Schema ​

Priority Schema Types ​

Verification Checklist ​

Common Mistakes ​

See Also ​

SOP 003: Schema Markup for Machine Trust

Purpose

Why Schema Matters for AI

Procedure

Step 1: Implement Organization Schema

Step 2: Implement Person Schema for Authors

Step 3: Implement Article Schema

Step 4: Add FAQPage Schema

Step 5: Implement HowTo Schema

Step 6: Validate Schema

Priority Schema Types

Verification Checklist

Common Mistakes

See Also