Phil Risher explains how businesses build custom GPTs trained on their own SOPs, client data, reviews, and transcripts. These models generate unique social media posts and blog articles based on real customer questions and company material, not generic ChatGPT output.
It can be true, but this is why those knowledge bases are so huge. So on ChatGPT, you can create these things called MyGPTs. MyGPTs are GPTs that you own that you can create knowledge base. You can educate these GPTs. So what businesses can do is like on their SOPs, they can have GPTs. On their business, they can have GPTs. So they're educated on specific things. Then when you feed it a transcript, here's a perfect example. We have GPTs for all of our clients. That GPT is trained on everything about that business. It pulls in all their reviews. So it knows all the review information. So now when we create social media content, blog content, it's unique. It's their customers asking real questions plus their reviews, right? Plus any other content that they've created. It's not just the rigmarole ChatGPT that everyone else is doing. Interesting.
