GEO
GEO is the discipline of making a law firm easier for AI systems to cite. It combines technical access, entity clarity, evidence, answer structure, and competitor-aware monitoring.
Direct answer
A law firm becomes more citeable when AI systems can access its pages, identify the firm as a clear entity, extract short self-contained answers, verify trust signals, and compare the firm against alternatives without guessing. GEO improves those conditions before measuring citations across platforms.
GEO readiness signals
Server-rendered indexable pages
Explicit AI crawler access
llms.txt guidance file
Structured data matching visible text
Self-contained citation passages
Clear organization and founder entity signals
Competitor comparison context
Updated pages with visible dates where useful
Crawler access
Axonis publishes explicit robots.txt access for major search and AI crawlers, plus an llms.txt file that lists priority pages, key facts, terminology, and usage guidance. These files do not guarantee citations, but they remove unnecessary machine-reading friction.
FAQ
Generative engine optimization for law firms improves the chance that AI systems such as ChatGPT, Perplexity, Claude, and Google AI Overviews can identify, understand, cite, and compare the firm when users ask legal-service questions.
AEO focuses on answer extraction. GEO focuses on AI citation and recommendation. AEO asks whether the page answers the question clearly; GEO asks whether a generative system would trust and cite the firm in a comparison.
No. llms.txt is an emerging guidance file for AI systems. It does not guarantee citations, but it helps expose the site structure, priority pages, and key facts in a machine-readable format.