The work is about the development of a web-based website selection decision support system, which involves the development of the system’s data model, algorithm, and user interface. The work proposes evaluation criteria for websites based on search engine optimization metrics. The system’s algorithm ranks websites based on many criteria. This allows the user of the system to use the evaluation criteria offered by us and, in case of desire, to increase the number of evaluation criteria. The algorithm is partially expert because the evaluation criteria proposed by us are not evaluated by a human-expert, their value will be determined by the system for the corresponding website, and as for the evaluation criteria added by the user, it is evaluated by a human-expert. This system will enable users to select the best websites for their business quickly and easily, without excessive costs.