Technical SEO & GEO

Legal audiences increasingly find information through AI-driven tools that summarize, synthesize, and infer. To stay visible in that environment, firms need content that machines can interpret correctly and cite with confidence.

Technical SEO and Generative Engine Optimization (GEO) turn a firm’s digital footprint into structured, verifiable knowledge that endures through every algorithm shift.

How We Build It

Structured Data and Entity-Based SEO

• We start with schema.org and structured markup to describe people, cases, and organizations as clear, identifiable entities.
• Articles, pages, and bios include metadata that links lawyers to their firms, firms to their practice areas, and content to real-world events.
• This clarity strengthens search visibility today and creates data continuity for future discovery systems.

Knowledge Graph Engineering

• We interlink entities—people, firms, cases, jurisdictions, and topics—so machines understand how they relate.
• Verified connections build contextual authority: when identity and content align, AI systems treat that information as more trustworthy.
• We use open data formats that allow firms to maintain and extend their own internal knowledge graphs.

Preparing for Generative Discovery (GEO)

• Traditional SEO optimizes for ranking; GEO optimizes for understanding.
• We structure content so generative engines can recognize, quote, and attribute it accurately.
• By making legal expertise machine-readable, firms remain visible and cited even as users move from search results to AI summaries.

The Outcome

Our goal isn’t just traffic—it’s trust.

Structured data, knowledge graphs, and GEO make legal publishers more resilient in a world where algorithms and AI systems interpret content on their own terms.

Alt21 ensures your work stays discoverable, verifiable, and properly attributed—long after the next platform shift.