Parameterized URLs Distort LLMs Page Representations

A technical guide examines how parameterized URLs (for example ?utm_source=, &color=red, ?session_id=) influence how large language models tokenize, interpret, and group web pages when used in AI search, answer engines, and RAG systems. It details tokenization patterns, parameter taxonomy, edge cases, and recommends stripping tracking parameters, normalizing URLs, and using predictable content-changing parameters to avoid embedding fragmentation and security leaks.