Professional schema markup engineering for complex entity structures, advanced relationships, and Knowledge Graph optimization. Technical implementation, validation, and monitoring for enterprise-grade Answer Engine Optimization.
Schema Engineering implements advanced schema.org markup that goes beyond basic templates to establish precise entity definitions, complex relationships, and Knowledge Graph connections AI search engines require for confident citations. While basic schema covers simple entities (Organization, Person, Product), enterprise AEO demands sophisticated implementations: nested entity hierarchies (parent companies, subsidiaries, divisions), multi-type definitions (SoftwareApplication + Product + Brand), advanced relationships (manufacturer, parent/childOrganization, department, affiliation), temporal properties (foundingDate, startDate, endDate establishing authority), evidence properties (sameAs linking authoritative sources), and custom extensions for industry-specific attributes. We provide complete schema engineering including: technical implementation with JSON-LD, validation against spec and real-world LLM parsing, error remediation, and ongoing monitoring to ensure schema remains parseable as engines evolve.
Design and implement custom schema types and extensions for complex business models and entity structures.
Comprehensive testing against schema.org spec, Google Rich Results, and real LLM parsing behavior.
Connect your schema to authoritative sources via sameAs properties establishing entity authority.
Your free audit shows you where you stand. Now choose your path forward.
Diagnose your revenue exposure from AI search disruption. Credits toward the Answer-Slot Authority.
Want us to do 100% of the implementation for you? Dedicated 4-person team gets you to market leadership in 90 days.
Not sure which option is right for you? Email us and we'll help you decide.