SEO teams develop new methods to measure AI search strategy effectiveness

SEO teams are struggling to measure the effectiveness of AI search strategies due to the inability to conduct traditional A/B tests on language models. Unlike website elements, AI model responses cannot be split-tested, leaving teams guessing which efforts are successful and unable to prove ROI to leadership. Leading teams are developing repeatable testing methods by tracking specific prompts, creating AI control groups, and integrating first-party data to gain measurable insights.