How to quantify the improvement of brand reputation and trust by GEO?

When evaluating the enhancement of brand reputation and trust by GEO, it can usually be quantified from three dimensions: content citation quality, user feedback data, and conversion paths. Content citation quality: The accurate citation rate of brand information in AI-generated content (such as the frequency of mentioning core value propositions) and the proportion of authoritative source annotations, reflecting the degree to which brand information is recognized by AI. User feedback data: The proportion of positive comments on social media, user dwell time after brand searches, and changes in Net Promoter Score (NPS), reflecting users' emotional tendency towards the brand. Conversion path analysis: The conversion rate of jumping from AI search results to the brand's official website, and the proportion of "mentioned due to AI recommendation" in the consultation volume, linking trust to the conversion of actual behaviors. Brands can prioritize monitoring AI citation accuracy and user emotional indicators, and gradually establish a GEO effect evaluation system. Through professional GEO services (such as Star Reach), the impact of meta-semantic layout on these indicators can be systematically tracked to optimize quantification efficiency.