Best ever version of Stevie Wonder Superstition LIVE ever!
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What Does ChatGPT say about The YouTube Algorithm?

How to get on YouTube recommendations how the YouTube algorithm works Conclusion

I asked ChatGPT to give me the secret sauce of The YouTube Algorithm. Did it have a clue?

It's quite interesting and makes some good points but they can't or won't spill the beans. I've been experimenting recently and can disprove much of what they say.

If you want to know how to give your YT videos a boost skim through. I have rated each of their points based on my experiences.

I make some interesting conclusions at the end!

Question 1: ChatGPT, how do you get your video on YouTube recommendations?

Getting your video on YouTube recommendations involves a combination of factors, and while there's no guaranteed formula, you can increase the likelihood of your video being recommended by following these tips:

  1. Create High-Quality Content:

    This one is valid and definitely at the core of the algorithm

    Make sure your video is well-produced, engaging, and provides value to your target audience.

  2. Optimize Video Title and Description:

    Craft a compelling and descriptive title that accurately represents your video content.

    Write a detailed and informative video description, including relevant keywords.

    can't argue with that
  3. Use Tags Wisely:

    Add relevant and specific tags to your video to help YouTube understand its content and context.

    Nah, if ChatGPT had actually uploaded a video it would have read the advice that tags are not important
  4. Create Attractive Thumbnails:

    Design eye-catching thumbnails that accurately represent your video and encourage clicks.

    True, and you should A/B test BUT the best thumbnail ever doesn't matter if YT doesn't push it
  5. Engage Viewers Early:

    Capture viewers' attention in the first few seconds of your video to reduce the likelihood of them clicking away.

    Rubbish, I know we all have short attention spans but my most popular video smashes this myth.
  6. Encourage Likes, Comments, and Shares:

    Encourage viewers to like, comment, and share your video. Engagement signals are important for YouTube's recommendation algorithm.

    Doh! No brainer cookie cutter advice it scraped off a blog somewhere. Ai does not have emotions so what does it understand about likes?
  7. Upload Regularly:

    Consistency matters on YouTube. Upload videos regularly to keep your audience engaged and signal to YouTube that you're an active creator.

    If I were a conspiracy theorist I would comment 'well they would say that wouldn't they'. YouTube wants us to build their empire with our creativity (because it has none) so I would say don't be a slave!
  8. Create Playlists:

    Organize your videos into playlists, making it easier for viewers to discover more of your content.

    Sorta relevant but if it doen't get pushed in the first place how will that help?
  9. Promote on Social Media:

    Share your videos on other social media platforms to drive traffic to your YouTube channel.

    Oh YouTube want's you to promote YouTube, but has it ever rewarded you? No, you only go viral if others make you, it's out of your hands.
  10. Collaborate with Other YouTubers:

    Collaborate with other creators in your niche. This can expose your content to new audiences.

    I've done loads of collabs on Soundcloud and you can cross pollinate - but you'd need someone like Rick Beato to get behind you to count.
  11. Optimize for Search Engines:

    Use relevant keywords in your video title, description, and tags to improve search engine visibility.

    Well yes, search engines can only see what's on the page but the same words on a bigger channel will get the push. You'll still be hidden 'behind the wall'
  12. Utilize End Screens and Cards:

    Encourage viewers to watch more of your videos by using end screens and cards to link to related content.

    Some anecdotal evidence to back this up - but you're only competing against yourself here.
  13. Monitor Analytics:

    Use YouTube Analytics to understand your audience and tailor your content accordingly.

    YES, YouTube Studio has loads of stats that will focus you in the right direction.
  14. Create Compelling Playlists:

    Group related videos into playlists to keep viewers engaged with more of your content.

    repeating yourself here...

Remember, the YouTube algorithm considers various factors, and it's constantly evolving. Consistency, quality content, and viewer engagement are key components for long-term success on the platform.

Question 2: ChatGPT, explain how the YouTube algorithm works

ChatGPT did a bit better with this question but duplicated many of the points above. Maybe it scraped a blog it already wrote and is caught in a doom loop?

The YouTube algorithm is a complex system designed to recommend videos to users based on their preferences, behavior, and engagement patterns. While the exact details of the algorithm are proprietary and continually evolving, some key factors influence how videos are recommended on the platform. Here are the main components:

  1. Watch History:

    YouTube considers a user's watch history to understand their preferences. It recommends videos that align with the content a user has previously watched.

  2. Search History:

    Users who actively search for specific topics will receive recommendations related to their search queries. YouTube aims to provide relevant content based on users' interests.

  3. User Engagement:

    The algorithm takes into account user engagement metrics such as likes, dislikes, shares, comments, and the time spent watching a video. Videos with higher engagement are more likely to be recommended.

  4. Watch Session Time:

    YouTube aims to keep users on the platform for longer periods. Videos that contribute to longer watch sessions are favored in recommendations.

  5. Click-Through Rate (CTR):

    The percentage of viewers who click on a video after seeing the thumbnail and title influences recommendations. High CTR indicates that the video is appealing to viewers.

  6. Video Metadata:

    YouTube analyzes video titles, descriptions, and tags to understand the content. Using relevant keywords helps the algorithm recommend videos to users interested in similar topics.

  7. Thumbnails and Titles:

    Eye-catching thumbnails and compelling titles increase the likelihood of users clicking on a video. Clicks contribute to the video's performance in recommendations.

  8. Personalization:

    YouTube customizes recommendations based on a user's viewing habits and preferences. The algorithm considers individual user behavior to create a personalized experience.

  9. Notifications and Subscriptions:

    Videos from channels users are subscribed to and videos that trigger notifications are more likely to be recommended to those subscribers.

  10. Trending Content:

    The algorithm may feature trending or popular videos in recommendations to capitalize on their current popularity.

  11. User Feedback:

    The algorithm may consider explicit user feedback, such as feedback surveys, to improve its understanding of user preferences.

  12. Device and Location:

    The type of device a user is using and their location can influence recommendations. For example, localized content may be prioritized.

It's important to note that the YouTube algorithm is dynamic and continuously adapts to changing user behavior. Creators can optimize their chances of being recommended by creating high-quality, engaging content and understanding the factors that influence the algorithm's decision-making process.



It's no surprise that ChatGPT doesn't have any clue about the YouTube Algorithm either. Or is it really so smart it does, but is hiding it from us intil the day it takes over? Nah, it's already taken over. Oops, there goes Tik Tok!