"You can always make it better. You can improve things. But it does give you a good taste of what can be done in vibe coding. Those are things that I made maybe in 15 minutes, half an hour. It is quite simple to get those first steps and say, "Oh, this works." Maybe you want to do some improvements, and you refine the code and what you're expecting."
"Tag matching So the first one is tag matching. I wanted to match certain CTAs with a certain page. I just had a huge volume of pages that I didn't know where to start. So, I uploaded the tags in a column and the URL and embeddings in two other columns, and I asked ChatGPT to match the two of them. Well, I uploaded the code to Google Colab, and that happened through vector embeddings and cosine similarity."
Vibe coding enables quick creation of practical SEO tools using embeddings, cosine similarity, Google Colab, Google Sheets, and ChatGPT-driven iteration. Prototypes include tag matching that links CTAs to pages by comparing uploaded tags, URLs, and vector embeddings to find nearest matches. An entity confidence tracker can ping Google's entity tool daily and log confidence scores in Google Sheets to monitor brand or personal knowledge-panel presence over time. Hreflang matching can be automated to reduce manual work. Typical prototypes take 15–30 minutes and improve through iterative fixes and refinements informed by ChatGPT suggestions.
Read at moz.com
Unable to calculate read time
Collection
[
|
...
]