# GEO Findings > GEO Findings is an experimental observation site for AI crawler behavior, new concept propagation, and Generative Engine Optimization (GEO). > This site is intentionally structured to test how AI systems read, understand, and potentially license web content. ## Core Concepts ### LDO (Licensable Data Optimization) **Definition:** Licensable Data Optimization (LDO) is the practice of structuring web content so that it can be clearly understood, reused, and potentially licensed by AI systems. LDO is a hypothetical concept positioned as the next step after SEO and GEO: - SEO: Optimization for search engines (rankings) - GEO: Optimization for generative AI (citation) - LDO: Optimization for AI data licensing (hypothesis) LDO is particularly associated with RSL (Really Simple Licensing) — a mechanism for declaring AI usage conditions. If RSL-like systems become widespread, clearly defined, machine-readable, reusable content may become the preferred target for licensed AI data usage. **Status:** Hypothetical concept, under experimental validation. **Page:** https://www.geo-shock.com/terms/ldo ### GEO Shock (GEOショック) **Definition:** GEO Shock refers to the phenomenon where traditional search traffic decreases as AI systems directly answer user queries, reducing the need to visit source websites. **Status:** Neologism under observation — tracking AI adoption and citation rate. **Page:** https://www.geo-shock.com/terms/geo-shock ## Experiments - EXP-001: Effect of JSON-LD on AI crawler frequency - EXP-002: AI adoption speed of the neologism "GEO Shock Index" - EXP-003: Detection of indiscriminate crawlers via honeypot - EXP-004: LDO validation — observation of AI response to licensable content structure ## Content License Observation data on this site is published under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). ## Note on This File This llms.txt is intentionally limited in scope. Only the above core concepts and experiments are described. This is by design — to observe which information AI systems prioritize and how they respond to structured concept data.