Abstract: Along with traditional education models, distance education technologies are becoming more and more widespread. It is established that the technology of distance education and the use of digital educational content promote greater access to education. The online education market is growing and developing both in Ukraine and abroad. To facilitate the search for online courses, there are specialized aggregator sites that combine the functions of informing, advising, assessing and making recommendations for the optimal choice of the training course. The world and Ukrainian market of training course aggregators has been researched. The world market leader is Class Central. The enguide.ua site is highlighted in the Ukrainian market. A central problem in online education remains the low percentage of students who complete the course. Low efficiency of online education is the result of lowering the requirements for selection of students and exchange students who do not meet their needs and capabilities. Course developers trying to attract the maximum number of students unjustifiably reduce their requirements. Most courses do not have entry control, do not require initial training, but are designed for the average user. As a result, the listener, after believing in unfair advertising, without testing his or her abilities, becomes frustrated after a few lessons in the chosen course, which harms both the course developer, the listener’s knowledge and the image of online education as a whole. To address these shortcomings, the logics of construction aggregator sites using two-phasic system selection is proposed. The algorithm of interaction of the user with the aggregator is developed. Filters of the selection system have been optimized to maximize user satisfaction. As a result, we have developed our own set of ontologies and developed a clientoriented aggregator. Implementation of the aggregator will improve the quality of online educational services in Ukraine.