A study focusing on information provided by users on automated content recommendation logics associated with Mexico in Netflix is presented. It is proposed to determine whether these contribute to audiovisual diversity and to identify the platform’s parameters for making recommendations. A digital inquiry tool based on algorithmic auditing techniques is designed and implemented. It is verified that there are sources that are prioritised and are of North American origin. It is concluded that the content is not very diverse and is geared to the gender (female or male) of users, that personalisation is low and that the audience has a high acceptance of the recommendations, except in featisation of drug trafficking and gender stereotypes. As a result, there is a possibility to intervene on the platform, through the recommendations, to address diversity.