The idea is to structure before-and-after citation experiments with fixed queries and explicit controls, instead of treating a changed answer as proof of impact.
Before-and-after AI citation tests are often inconsistent, incomplete, or interpreted without enough evidence.
SEO researchers and content teams studying questions, answers, and cited sources.
Structures experiments using fixed queries, control and treatment observations, citation rates, and confidence checks.
Measure whether a controlled content change is associated with improved AI citation visibility.
Created by SEO Girl - Ami. Review research, generated drafts, and illustrative examples before applying them.