Why don't we move over to how to rank highly, how chat QPD search algorithm works?

You want to know how chat QPDs algorithm works?

I kind of already know, but yes, let's talk about that.

But before we go into that, I started integrating ads into my YouTube based on your feedback.

How's that going?

You remember we were talking about our podcast a few weeks ago or a month ago, and you're just like,

dude, we get a lot of leads for single grain and carrot by me just mentioning, you know, in the middle of the recording, hey, if you want us to do this for you or you want us to do X, Y, and Z, just go to single grain. So we started doing it. I have no data yet from it because only one video. I believe the perplexity one has it. That was doing well. Yeah, it's doing well. And then the next one that comes out next week has it, of course, as well because all of them have it now. But by the time we record next week, I should have more data for you. Yeah. I guarantee it will be a good outcome. And plus, like, even if it's, even if it's a small lift, it doesn't matter because you're making the content anyway. Yeah, it's free. Small lift is better than no lift. Yeah. Yeah. I'm curious to see what the day it looks like. Okay. So guys, let's, I want to talk about how chat GPT's ranking model works. and then this, I'm going to share screen here. So Chris Long share this. He's actually a pretty good curator.

So how Chat Chbetees re-ranked. chat GPT's ranking model works. And then this, I'm going to share screen here. So Chris Long share this. He's actually a pretty good curator.

So how Chat Chbetees re-ranking model works.

And so I think what's work worth calling out here is it says at the heart of Chat Chbiz

retrieval system is a re-ranking model with the critic name RETR SkySight.

And it's a sophisticated post processing layer that takes initial search results and completely

reorders them based on quality signals.

So number one, quality signal here is freshness is king.

So perhaps the most significant finding for Contagrators is this setting.

Use freshness scoring profile equals true.

And so there's a bunch of other findings, but we've kind of been talking about this where I think AirOps cited that 95% of chat ShepD results have been refreshed in last 12 months or so. This is, it's still kind of traditional SEO, right? And then this guy shared it over here. So you can see this. Use freshness scoring profile is true. And then he cites some other stuff. And then you have all this other stuff here down here. Configuration reveals a sophisticated filtering pipeline with multiple checkpoints. Enable query intent, source filtering. But I think probably the thing that's worth calling it, I'm not going to go through all this other stuff, is the freshness piece. What's your take?

Yeah, the freshness piece, we've seen it as well.

Freshness is very important and people miss that with chat, GPT, and even Google.

We're seeing freshness be a super important metric.

But the problem that we're seeing with freshness is marketers are looking at it as, oh,

let me just change one sentence and update the

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