AI Visibility Empirical Finding: Testing Protocol and Observational Constraints, Multi-Platform LLM Training Ingestion

Description: AI Visibility Empirical Finding: Testing Protocol and Observational Constraints, Multi-Platform LLM Training Ingestion This document records the methodology applied in the first observed natural experiment documenting strategic upstream corpus development and its effects on LLM training ingestion. What This Document Records Platform selection and search restriction protocol used to isolate training data from real-time retrieval. Query structure applied consistently across Claude, ChatGPT, Gemini, Perplexity, and X. Controlled variables including minimal corpus size, compressed production timeline, strategic prioritization sequence, and post-cutoff deterministic markers. Observational constraints…