Using ChatGPT to optimize YouTube content for WPwatercooler
I recently started using ChatGPT to try and optimize the YouTube content for my website, WPwatercooler. In the past, I struggled with writing descriptive text for the "in the description down below" section of my videos and found the process of creating metadata for my episodes to be tedious. I hired a YouTube consultant to provide some critiques and recommendations, but I still needed a way to make the process more efficient. That's where ChatGPT came in.
I experimented with using ChatGPT to summarize the content of my episodes and create social media posts and YouTube chapters. While the tool wasn't perfect and required some editing, I found it to be a helpful way to streamline the process of optimizing my YouTube content and increasing its reach. Overall, I've been happy with the results I've seen from using ChatGPT.
Editor note, the text above was generated by ChatGPT by passing the text from this blog post and using these instructions to tell it what I wanted.
Writeablogpostexcerptforthisposttitled"Using ChatGPT to optimize YouTube content for WPwatercooler"pleasewriteitinthefirstperson
On last friday's episode of WPwatercooler EP440 - Year in review and forward at 2023 Sé Reed mentioned ChatGPT on the show and it got me thinking about using ChatGPT to try and optimize the YouTube content of WPwatercooler. In September I hired a YouTube consultant on Fiverr to go over the videos on YouTube and provide me with some critiques and ways I can optimize for getting more quality viewers. With 10 years of content on WPwatercooler's website and YouTube channel we have a lot of content we could optimize or revisit with optimized metadata to support the video.
One of the things that the consultant mentioned is to include some more descriptive text for the "in the description down below" and honestly I suck at that and for 2 reasons:
Writing content for an episode that didn't happen yet
I'm not sure if you are aware but WPwatercooler episodes are thought out quite a bit before we go live. We work out a working title for the show and I do a small description to support that title. We haven't recorded anything yet but we have any idea of what we want to talk about. Sometimes I feel like this pigeon holes us and other times I feel like the title and description are plain wrong for the content we discussed in the video. What about the video?
Writing metadata for the episode we just recorded
It's no industry secret, we (I) don't edit the show after we record it but I have been producing a lightly edited transcript of the show for the last few years using Descript. I feel like I'm driving a military humvee with a caravan of tanks with me to a grocery store trip when I use it, all this power and I'm over here having robots transcribe the video into text. I use ACF on WPwatercooler's site and have a field setup for the transcription. I also uploaded that transcript to YouTube so it has a more polished version of the transcript for humans to read and laugh at less than the YouTube version. I also write up some text describing the episode replacing the preshow version with something a bit more accurate of what was talked about. Lastly I include any links and pull in the titles from the external websites so its accurate on the post too.
Making it easier with ChatGPT
The post episode write up is such a chore and this is where ChatGPT comes into play.
UsingthetranscriptionfrommyYouTubevideoIprovidedabovepleasewriteasummaryofthediscussionthatIcanuseonYouTubeas the description text
I asked ChatGTP to write a summary of this episode EP440 - Year in review and forward at 2023 where Sé, Cosper and jumped between topics so fast it was hard to keep up with what was said and with some editing I came up with this: