The process of identifying and monitoring which sources AI systems reference or rely on when generating answers.
Citation tracking refers to the systematic observation of source attributions used by AI systems when producing responses to user queries.
It focuses on identifying which domains, pages, or publishers are cited, how frequently they appear, and in what contexts they are referenced.
Citation tracking is commonly used to evaluate visibility, authority, and source representation within AI-generated answers across different platforms.
The practice supports analysis of content coverage, competitive presence, and changes in source selection over time.