The tremendous growth rates of Internet and volume of content stored on its servers requires the creation of tools for automatic content analysis and processing. Intelligent systems for content processing aim to simplify and automate such tasks as content analysis and classification, finding keywords and building digests, distributing content according to specified criteria. This paper presents the results of a study of patterns, characteristics and dependencies in automatic text processing of commercial content. Data and information flows in processes of commercial content transformation are elucidated and formalized. The methods of linguistic analysis are proposed for automation of all operations of content processing. A content management system built using developed methods is constantly monitoring content from various sources, gathers and integrates content and distributes it to customers. The implementation of proposed methods and procedures allows effectively create and distribute content for targeted social audience and individual customers.