Without assistance sorting through all the videos, it would be practically impossible to discover what you need on YouTube, where over 500 hours of content are added every minute. In order to help you find what you're looking for, YouTube's search ranking engine sifts through a sizable number of videos to identify the most pertinent and helpful results for your search query.

Relevance, engagement, and quality are the three key factors that YouTube Search prioritizes in order to deliver the best search results. Depending on the kind of search, different weights are assigned to these three components. We use a number of variables, including how closely the title, description, tags, and video content match your search query, to determine relevance. Relevance can be assessed in a useful way using engagement signals. We take into account user engagement signals in aggregate, therefore we might look at watch time

of a specific video for a specific question to find out whether other users think the video is pertinent to the inquiry. Lastly, in terms of quality, our algorithms are built to recognize signals that can assist in identifying channels that exhibit subject-matter competence, authority, and reliability. Payment for higher ranking in organic search results is not accepted by YouTube.

We work hard to tailor search results for each user, taking into account not only the three primary components but also, if enabled, your search and viewing history. Because of this, the results of your search for the same question may not match those of another user. The side-by-side samples below illustrate how these factors can cause users' comparable queries to vary.