Schema Markup: Your Gateway to AI Search Visibility How LLMs like ChatGPT, Gemini, and Perplexity use structured data to determine law firm relevance and authority The New Reality: AI-Powered Legal Search In 2025, 42% of legal service searches now involve AI systems. LLMs actively parse schema markup to understand law firm expertise, credibility, and service offerings. Without proper structured data, your firm is invisible to AI-powered search. 🤖 ChatGPT 28% market share ✨ Gemini 31% market share 🔍 Perplexity 18% market share 🎯 Claude 23% market share How AI Systems Parse Legal Schema The AI Decision Tree for Law Firm Selection 1. Entity Recognition (LegalService Schema) AI first identifies if the entity is a legitimate law firm through LegalService markup. Without this, firms are classified as generic businesses. ✓ Has LegalService schema → Recognized as law firm ✗ Missing schema → Generic business or ignored 2. Expertise Assessment (Person + knowsAbout) LLMs evaluate attorney credentials and practice areas through Person schema and knowsAbout properties. knowsAbout: [“Personal Injury”, “Wrongful Death”, “Medical Malpractice”] → AI categorizes firm expertise 3. Trust … Learn More

Complete JSON-LD Schema Code Examples for Law Firms Production-ready implementation templates with validation guidelines from 66 successful deployments Solo Practitioner Complete Schema Example: Tim Wright Law – Single Attorney Practice Key Features: Combined LegalService + Person schema