Looking at the reasons why YouTube tags have become a thing of the past and how the advancement of computer algorithms now do all the work for you.
Any YouTube content creator will tell you that one of the key objectives of putting out their content on the platform is to reach a large audience that will consume that content in numbers and engage on it. This is how many YouTubers are gaining huge followings and earnings.
One of the ways it can be made easier for people to find the content they are looking for (whether it be video content or an article) is through the use of tags in the form of keywords that make it simpler for people to come across your content easily.
YouTube tags are keywords that assist the YouTube algorithm to easily pick out which videos are most relevant to a user’s search. A YouTuber will add tags to their videos to help YouTube understand the context of their video content with two types of tags that can be used, namely: video tags and channel tags.
In an effort to help YouTube understand the kind of content you are creating for your channel, you would add the tags in the channel settings. If your content is related to makeup for instance, then your tags must match.
For those who are looking to find ways of getting their content to reach as many people as possible, they might be wondering if these tags are of that much importance. The overall consensus around this question is probably not really or not as much as they used to be anymore.
Some might urge that while it is good to create videos with keywords in mind, your focus should be more on writing up your video titles and descriptions with more keywords related to your content.
Another reason why YouTube tags may no longer be as important is because the site has somehow managed to start analysing videos using a computer algorithm that determines the videos content and what it is about.
It does this by going through each frame and generating its own tags combined with speech recognition, facial recognition amongst others to determine content.
Some people might make the mistake of thinking YouTube tags are the same as hashtags, and this is certainly not the case. Tags were used for the relevancy of a search to be added to the tag box of the video page and the video description box.
Hashtags on the other hand are used specifically for the search of an actual hashtag that might be trending. Hashtags are more focused on the content being tied to that hashtag in some way, and not the actual channel of a video through a YouTube search.
Yes, YouTube tags can still be used in 2022, and this time can work to the advantage of creators in terms of competition. This is because some YouTubers are still using tags and still think they are important.
Additionally, fellow creators can also use them to spy on their competition and see what tags they are using in the videos, as well as get some ideas for topics or keywords to use in titles, thumbnails, descriptions and subtitles.
This basically helps you to also identify what is working for others, that is not working for you.
What tools can you use for YouTube tag research?
There are few tools you can use to your advantage, including making use of the platform’s search predictions when you type in the search box which will suggest searches related to what you have typed.
Another tool to consider is a YouTube keywords tool such as VidiQ and Tubebuddy, which are both great for competitor research. Specifically when it comes to how to see YouTube tags.
Both sites also have features that allow you to view different keywords and how easy or hard it can be to rank them by making use of Chrome extensions.
It was once very important to make use of tools such as tags to make it easier for people to come across something they are searching for on the internet. YouTube content creators will know that this helped significantly in terms of their content reaching wider audiences more easily.
However, in the year 2022, it seems like YouTube tags are now a thing of the past. Considering the new advancements and how technology has evolved, it’s no surprise that computer algorithms can now analyse YouTube videos by frame and generate their own tags using voice and face recognition.