The Impact of Search Engine Optimization on Digital Business Sales Performance

This dataset supports the manuscript entitled “The Impact of Search Engine Optimization on Digital Business Sales Performance” submitted to International Transactions on Artificial Intelligence (ITALIC), ID 1093. The study investigates the influence of three core Search Engine Optimization (SEO) dimensions, namely On-page SEO, Off-page SEO, and Technical SEO, on digital business sales performance. The dataset consists of 120 respondent records representing digital business owners and e-commerce managers in Indonesia who actively implement SEO strategies. The variables include On-page SEO, Off-page SEO, Technical SEO, Sales Performance, and Predictive SEO Performance Scoring (PSPS). These variables are aligned with the quantitative explanatory research design described in the manuscript, where SEO dimensions are analyzed using multiple linear regression and AI-assisted predictive scoring. The dataset was prepared to support reproducibility, transparency, and further analysis related to SEO effectiveness in digital business performance. It can be used for academic research, statistical analysis, predictive modeling, and comparative studies in digital marketing, search engine optimization, e-commerce, and business performance evaluation. The manuscript reports that On-page SEO, Off-page SEO, and Technical SEO have significant positive effects on sales performance. The regression model explains 68% of the variance in digital business sales performance, while the PSPS model provides scenario-based projections for minimal, moderate, and comprehensive SEO implementation strategies. This dataset also supports research alignment with SDG 8 Decent Work and Economic Growth, SDG 9 Industry Innovation and Infrastructure, and SDG 10 Reduced Inequalities.