Schema Markup Implementation

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.

Table of Contents

• 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

1. Extract all JSON-LD blocks from the page source
2. Validate required vs recommended fields per schema type
3. Cross-reference with Google's current rich result requirements