SEO Dimensions and AI-Assisted Predictive Scoring for Digital Business Sales Performance in Indonesia

This dataset provides an anonymized replication dataset supporting the study entitled SEO Dimensions and AI-Assisted Predictive Scoring for Digital Business Sales Performance in Indonesia. The dataset was developed to represent the quantitative structure of the study involving 120 Indonesian digital business owners and e-commerce managers who implemented Search Engine Optimization (SEO) practices. The dataset includes variables related to three main SEO dimensions: on-page SEO, off-page SEO, and technical SEO. Sales performance is represented through indicators of website traffic growth, customer conversion rate, and revenue improvement. In addition, the dataset includes supporting information for validity, reliability, descriptive statistics, regression analysis, Random Forest feature importance comparison, and AI-assisted Predictive SEO Performance Scoring (PSPS) scenarios. The Excel file consists of several sheets, including anonymized respondent data, codebook, instrument items, descriptive statistics, model results, PSPS scenarios, Zenodo metadata, and data use license. The dataset is intended for academic replication, teaching, methodological demonstration, and secondary analysis related to SEO strategy, digital business performance, predictive analytics, and AI-assisted decision-support models.