[Please urgent] Abstract This work compares the featured snippets obtained in response to different searches on Google. The analysis has been done in Spanish language and using the search engine with the option of private window. First, we analyze the evolution of the search engine according to the new algorithms and innovations and show the difference between rich snippets and featured snippets, this last being the main object of study. Then, six search categories have been established on which various queries have been made, in natural language and with keywords, in order to know the difference of the results between both options, widely covering the possible information needs of users. Depending on the query, featured snippets can present a single data or a dynamic information that allows the user to know in detail the information required. Google is continually developing the algorithm for natural language processing through the analysis of voice searches through virtual assistants with the RankBrain algorithm, so the possibilities of searching and presenting information will increase gradually. The information provided by the featured snippets is extracted from highly structured web pages with microdata such as Wikipedia or the pages considered by the search engine as more relevant to solve an information problem.