9 Jev Use Cases for Marketing (Plus the Mistake to Avoid)

Eric Siu (0:00)

Those of you that want to spam with AI, just keep in mind, when you use Jev as a published gate, only 7% of the drafts meet my quality bar. And I'm going to talk about how you can use it from a marketing standpoint, right? So I'm going to give you a couple of use cases for marketing and what we're actually using in production right now and how it's been helping me. And I mean, it's been helping from an SEO, AEO standpoint, which will be the first example. And I'm going to go over, maybe towards the end, I'll go towards a thing that you have to keep in mind. I was actually using it the wrong way. So let's go ahead and get into the first example here. And what I'm going to show you on my screen here is a couple of examples, and then I'll go into a little number, some numbers I can share with you as well. So we'll probably start with the third one over here. So you can use Jev to scan your external content to determine the best content spikes, then draft the best, then have Jev evaluate content quality, enforce content guidelines, and avoid duplicate content. This is quality SEO, AEO content at scale. And so what I'm literally doing right now is I'm using a Grokbot workflow, and what it's doing is it's pulling the external and internal content. But not only that, because I have this now, I can look at what competitors are using or competitors are creating, I can quickly classify them. So if two or more competitors are making the similar type of content, I can then look at the search, look at how competitive it is, and then I can attack that content, right? That's another example of work that you can do. So you can look at your competitor's content, you can look at your external and internal content. You can also look at content that's decaying on your website too. So content that's decaying, maybe it's high intent content, but you can see that the traffic is going down, whether it's from an AEO visibility standpoint or SEO visibility standpoint. But these are all things that you can do now, and you can gate the quality around the content that's being published, even the image quality that's being published as well. And so this is extremely helpful because, and I'll just talk about some numbers over here. So Jev basically read about 3200 pages, to be specific, 3208 pages in 178 seconds. This is on my website, I'm just reading it off Grokbot right now. The first version flagged about 2,200 pages flagged as needing a fix, which was useless, right? But then it got a little better. So the real culprit was our scraper. So then after we fixed that, the fixed list fell to 2666 And they basically fixed the 86 pages that actually got the most search console impressions. So basically Jev is a good classifier, but you're gonna need to work on it a little bit, right? Which is why towards the end, I'm gonna talk about why it's really important to have these gates at different levels, right? It just can't be at the... It can't just be after a piece of content is created or after something's analyzed. You want to do it kind of before and after. And I'll kind of give you the reasons on that, okay? So that's on the AEO SEO side of things, right? And kind of to go a little deeper on this one.

So every draft that we publish gets that yes or no check, right? For like, are we, one, are we inventing stats? Two, is this a duplicate of a live page already? Which is a huge thing, right? If you're thinking about AI, one of the biggest pieces of anxieties that I had was, okay, I can publish all this stuff, but A, is it going to be crap? But B, are we duplicating what we have already? And also, should we be keeping? Should we be consolidating? Should we be deleting? Should we be upgrading pieces or updating pieces of content? Those things should all take into, you should take into account, right? Because updating has always worked. So every draft gets a yes or no. So we check for duplication of a page, thin evidence and AI tells, right? We don't want, you know, much M dashes if it's not X, it's Y type of stuff, or invented stats. So over three days, we basically had 11 of 149 drafts cleared and 138 were held. So the lesson is that most AI drafts should not shift. So if we do the stats on this one, about 7% of AI drafts actually cleared. You know, here's the AI tell over here. If something is, do we have anti-slot skill in there? Is it ship ready? Do we have images that pass? What the justification is? Any links to content that this is like from content that I published? Is it, are there any links to content that I've covered already? And then here's the title as well. And then it shows the ID and then we can kind of preview the content as well. And then we see the target keywords as well. So you can see like the keyword volume over here, right? 4,400, 720, 9,900. And I'm using the HRS API and the data for SEO APIs over here. So these are things that we want to go through. And then we even have like this measurement thing as well. So measurement here, this measurement bot, what it will do is it will actually measure the success of how we're doing.