Machine-generated text affects user engagement in search rankings primarily due to its inherent characteristics and quality inconsistencies. Often, this content can be repetitive, generic, or lack the nuance and depth that human-written articles provide, leading to a diminished user experience. When users encounter information that is unhelpful, grammatically awkward, or simply not engaging, their time on page decreases, and bounce rates increase significantly. Search engines interpret these engagement metrics as strong signals of low relevance or poor quality, consequently lowering the ranking of such pages in search results. Furthermore, a lack of perceived authoritativeness and the potential for factual inaccuracies can erode user trust, making them less likely to return or engage with similar content. Ultimately, algorithms prioritize content that consistently delivers a positive and valuable user experience, which machine-generated text often struggles to provide. More details: https://adserver.samsvojmajstor.com/adserver/www/delivery/ck.php?ct=1&oaparams=2__bannerid=868__zoneid=69__cb=b740464075__oadest=http%3A%2F%2F4mama.com.ua