Eight SEO Tips for YouTube and Search Engines

 


Eight SEO Tips for YouTube and Search Engines



SEO for videos has changed a lot over time. This is because YouTube adapts its algorithms to the way users conduct their searches on the platform. Currently, the YouTube algorithm tries to show each viewer the videos that they are most likely to enjoy.


Below, we want to provide some tips for optimizing and optimizing your videos so that they are shown in the most relevant searches.


- Suggested videos: This is a custom set of videos that are shown on the homepage and in the Watch Next column. These videos are chosen based on each user's activity and YouTube data shows that users tend to preferentially consume content that appears in this section. To appear in this section, you must create a Call to Action to invite the user to interact with the video, as well as create thematic playlists, create a video series and also create content related to viral challenges or other popular content on the platform.


Homepage: The YouTube homepage is the first thing users see when they access the platform. This page displays, on a daily basis, more than 200 million different videos around the world based on their activity, but also on video performance. To appear in this section, it is necessary to publish videos constantly, but it is also necessary for users to consume videos to the end, because if the viewer leaves the video incomplete, YouTube will understand that its content is not attractive.


-YouTube Search: YouTube acts as a search engine that displays the most relevant results based on the keywords for each query. Videos are categorized based on their titles, description, and content, so they must match a user's searches. In addition to this, the algorithm also analyzes the play times and user engagement to rate a video. This means that before creating a video, we must perform a keyword search for terms that allow us to improve the video.


Description and hashtags: The video description must contain information that allows the user to know what topics the video will cover. In this sense, each video should have a unique description, the first lines should contain a summary of what the user will find and the rest of the information (links, comments, etc.) should appear later. In this section, hashtags should also be placed, which should be selected based on the search for keywords.


Titles and Thumbnails: The first thing a user sees when doing a search is the title and thumbnail of the video. If both elements clearly show what the user will find in the video, then it will be easier for the user to click on the video. To do this, you should write eye-catching and concise titles (less than 60 characters) and put the episode number at the end. In the case of thumbnails, they should be of high resolution and should also be eye-catching for the click invite.


- Cards and Endings: Cards and Endings invite players to browse other content on the channel. It's something similar to what happens with internal links in a blog. This is a great way for the user to discover new content from the channel that they may have missed or may not have seen before. Not only should these cards be included in new videos, but it is also recommended that you edit old videos to include cards in newer videos.


-Youtube Shorts: The YouTube Shorts are videos of up to 60 seconds, similar to what we find in Instagram Stories. Since these are short and dynamic videos similar to those in social networks, users tend to consume these contents, moving from one to the other. How does this help? YouTube's algorithm doesn't distinguish between a video's watch time and a "short" time, so it simply adds up to the channel's total watch time. This means that capturing users' attention through "shorts" can help us improve the performance of the rest of the videos as well as the channel's performance.


'Likes' and 'Dislikes': Do 'Likes' affect YouTube video recommendations? Of course, either way, this is one of the hundreds of factors the platform takes into account when putting together a video. The algorithm works with artificial intelligence and has to “learn” what is liked and what is not among users. The algorithm analyzes the time users spend watching videos, as well as whether they like them or not, if they share them, if they comment on them, etc. With all this information, you need to decide whether it is appropriate to display it in the recommendations or not.

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