SEO Rockstars 2026: Day 1 - Dan Kurtz

[00:04] Right on. Hey guys. So, as Mike said, I

[00:08] do a lot of automation stuff. Um,

[00:10] constantly dabbling in things, figuring

[00:12] out new tech, new stacks, new whatever

[00:14] in order to get the results that I'm

[00:16] looking for because I hate doing stuff

[00:18] and I want computers to do it for me.

[00:20] Anybody who's been vibe coding probably

[00:22] feels the same. So, we're going to kind

[00:24] of blitz this. Um, I'm going to show you

[00:26] guys some examples and stuff. I'll give

[00:28] you guys all the prompts, the systems,

[00:29] the GPTs and everything else at the end.

[00:31] So you too can go home and go do it

[00:32] yourself.

[00:34] So

[00:38] obviously core problem with AI

[00:40] automations, most implementations wind

[00:43] up failing or your NAN crashes or your

[00:45] make automation doesn't work right or

[00:48] clog code does something with one of the

[00:50] files and you can't [ __ ] open it

[00:52] again. But

[00:54] damn, what' you say? the cloud code.

[00:56] It'll go edit a line of code and then

[00:58] the whole app crashes.

[01:01] Everybody's favorite.

[01:02] So that's why I said you

[01:06] [ __ ]

[01:06] Yeah.

[01:07] So

[01:09] obviously if you can figure out the

[01:10] problem, it's a lot easier to build the

[01:12] tools around the problem and then

[01:14] eliminate the problem. So we're going to

[01:15] kind of go through some of those today.

[01:18] Vibe coding you guys are all familiar

[01:19] with probably. Anybody in here not vibe

[01:21] coding on some platform? All right,

[01:24] cool. So basically

[01:25] the only one

[01:26] no Jose

[01:30] sitting in front.

[01:31] Yeah. So you can do a ton of stuff with

[01:34] it. Um a lot of people have been

[01:35] building apps and applets and deploying

[01:37] stuff on PCEL and cloud waves and all

[01:39] different sorts of sites and building

[01:41] out these massive projects. Um

[01:45] far than that. So I decided to go ahead

[01:48] and figure out how to do arbitrage using

[01:49] AI.

[01:52] So basically go describe the problem in

[01:54] chat GPT or cloud AI generates the code

[01:56] run sandbox do the feedback iterate till

[01:59] it works deploy and monitor. For this I

[02:02] just use cloud code. Um and I built two

[02:05] different things. I built a mini app and

[02:07] then a companion a uh companion chrome

[02:10] bookmark lit to do all the work. So or

[02:14] extension I think they're called. So

[02:17] went ahead built an extension and this

[02:20] thing goes out and basically

[02:23] does everything it says here. So it does

[02:24] competitor research. Basically I wanted

[02:26] to figure out how to build a second

[02:27] income stream using AI and didn't want

[02:30] to spend more than 30 days uh 30 minutes

[02:32] a day doing it. Spent two weeks coding

[02:34] it but saved 30 minutes a day. So

[02:38] decided I wanted to resell stuff on

[02:40] eBay. So build out my app. This lives

[02:43] inside of Chrome as an extension. does

[02:45] competitor research, figures out who's

[02:47] selling stuff, what products. Basically,

[02:49] it's a it's an ecom sniffer. So, it goes

[02:52] out, you plug in your competitors,

[02:54] whatever sellers you're going after,

[02:56] shows you all their items, their

[02:57] purchase history, what they're currently

[02:59] doing, scrapes all their products,

[03:01] figures out the best ones, and then goes

[03:03] and finds the pricing for them and

[03:05] alternatives on Amazon. that goes in,

[03:07] does browser automation, runs through

[03:09] the whole process, figures out the

[03:11] markup, the markdown, the margins,

[03:13] everything on the fly, and then I just

[03:16] paste it into the web app, which is just

[03:19] this screen. Um, and then I just let it

[03:22] rip. The numbers up in the top right

[03:24] hand corner is the limit of how many

[03:26] products per month I can push into eBay.

[03:31] So, example, found a random product.

[03:34] just picked something off the bestseller

[03:35] list this morning, add it to the

[03:37] presentation, and then went ahead to

[03:39] search that same thing on eBay.

[03:42] Found out that yes, people are reselling

[03:44] it on eBay. And that little blue line

[03:46] down there that you can't really read

[03:48] from back there because picture's too

[03:50] [ __ ] big. Tells me my break even

[03:52] point on that product. So, it's doing

[03:54] all the calculations on the fly. And

[03:56] then I'm importing and the AI is doing

[03:59] all the product matching for me.

[04:04] So, what that looks like,

[04:07] because everybody here likes rankings,

[04:10] here are my current sales ranks in all

[04:12] of these categories. And I've been doing

[04:14] this for two weeks.

[04:18] I am not doing anything. I'm not

[04:20] pointing back links. I'm not writing

[04:22] content. I'm not doing anything. I have

[04:23] the entire system on a learning loop.

[04:26] So, the AI is continuously figuring out

[04:28] what's working and what's not. importing

[04:30] products, deleting products, selling

[04:32] products, doing the arbitrage, going

[04:34] back to Amazon and buying them and

[04:36] shipping them to the customer for me.

[04:37] Can you tell us what that means?

[04:39] Sure. Yeah. So, that's my seller rank in

[04:43] each of those categories. So, so out of

[04:46] 21, 291 sellers for rugs and carpets,

[04:50] I'm number 600.

[04:54] Okay. So it's out of however many people

[04:56] are actually selling that that's and you

[04:58] can figure out the percentile on that

[05:00] but it's not the same as SEO but it

[05:03] sells products

[05:06] and you can see obviously the machine is

[05:08] learning very well. Um I don't do

[05:12] anything with it at all. It figures

[05:14] itself out. It does the posting and I

[05:17] took the screenshot at like five or six

[05:20] this morning. So today's impressions are

[05:23] a little bit low, but they'll catch up.

[05:25] So in the past week, week and a half,

[05:29] 350,000 impressions, 20 products sold,

[05:31] and I've done nothing.

[05:36] Well, because the system is going

[05:37] finding the products.

[05:38] No, I wait until somebody goes and buys

[05:40] them, and then I go to Amazon, order it,

[05:42] put their shipping address in, and send

[05:43] it to their house in an Amazon box.

[05:47] I missed that part.

[05:48] Oh, yeah. I'm not I I have zero

[05:50] inventory until somebody buys something.

[05:52] I my cost is zero.

[05:55] Yeah.

[05:55] So, are you still having to physically

[05:57] buy it from Amazon or do you have that

[05:59] automated?

[05:59] Oh. Oh, no. It takes everything that

[06:01] they put in the address, shipping

[06:02] information.

[06:03] Okay.

[06:04] Yeah. So, it's completely automated.

[06:06] It goes and buys it

[06:07] and then it just ships it.

[06:09] Yep.

[06:11] How does it pay for it?

[06:12] My card. I have the card on file. It's

[06:15] right there on Amazon. It does the

[06:16] browser automation. picks that card.

[06:18] Wow.

[06:19] Dumps it.

[06:21] And again, it's kind of early. I've only

[06:22] been doing it for like two weeks, but

[06:24] I'm sure once I get up the speed, it'll

[06:26] be a little bit better.

[06:28] But, uh,

[06:30] so, and again,

[06:30] that's what you made this week.

[06:33] Yeah. So far.

[06:34] Yeah. So, 813 after taxes and fees from

[06:37] eBay because they take out like 14% plus

[06:39] tax.

[06:41] So, my markup is 60%. After they take

[06:44] out their 20, I'm left with a margin of

[06:46] 40% on a product I don't own. I don't

[06:48] have to warehouse and I don't have to

[06:49] worry about

[06:52] a return.

[06:54] Nope. No, there's because there's no

[06:57] nowhere to return it to. It's like,

[06:58] okay, cool. Ship it to Amazon.

[07:02] So, it that's handling all of it

[07:04] basically. Um, but again, just an

[07:07] example of what you can kind of do. Um,

[07:10] just playing with cloud code, playing

[07:12] with you know, different ideas and stuff

[07:14] because a lot of people are like, I need

[07:15] to build a software. I need to build

[07:16] this massive app that does all these

[07:18] things. I built half an app and maybe a

[07:22] Chrome extension and it's currently

[07:24] doing its own thing.

[07:26] Wow.

[07:26] But yeah, I'm not I'm not doing

[07:30] anything. Like I check it once a day to

[07:31] make sure it hasn't crashed. It just

[07:33] runs on a $2 BPS.

[07:35] How uh much time do you spend building

[07:38] it?

[07:38] About two weeks. Total actual hours is

[07:41] maybe 20.

[07:43] So,

[07:45] but for 20 hours worth of work over two

[07:48] weeks, I'll take it.

[07:49] Yeah. Just let it run.

[07:51] Yeah.

[07:52] So, but like I said, it's constantly

[07:54] learning off of its own mistakes, which

[07:57] is why the impression graph is the way

[07:58] it is. It's just continuously learning

[08:01] and testing and figuring out what works,

[08:03] what doesn't, what gets banned, what

[08:05] doesn't, and just reports all that, logs

[08:07] it to the central AI, and then uses

[08:09] those rules the next day going forward.

[08:15] So,

[08:18] just I want to put this in here because

[08:20] a lot of people talk about, you know,

[08:21] building stuff in in Vibe coding and

[08:24] doing whatever, but they never actually

[08:25] launch anything. We'll show what happens

[08:27] if you like actually do something with

[08:29] it.

[08:31] So,

[08:33] one of the other things I wanted to talk

[08:34] about was AI video generation. In

[08:37] specific, we're going to talk about

[08:38] building AI avatars. Kind of what um was

[08:42] talked about previously, but slightly

[08:43] different. Um, so I'll kind of show you

[08:46] guys what we're doing. So, this is the

[08:49] stack I normally use for all this. It's

[08:50] chat GBT, Google Whisk, Flow,

[08:53] occasionally uh VO free pick to upsample

[08:57] the images because the quality of the

[08:59] images coming out of AI are usually

[09:01] pretty bad. Um and then hey genen to

[09:04] turn that person into a permanent

[09:05] talking avatar.

[09:08] So it cost about a buck per video if you

[09:10] do it right doing this method because

[09:13] most of the stuff we're using with the

[09:15] exception of hen and free pick are free.

[09:18] So,

[09:20] examples of avatars you can make and

[09:22] then these get fully animated by the

[09:24] system. So, this guy's a influencer,

[09:27] digital marketing guy,

[09:30] regular like business or finance person

[09:33] and then Gen Z, Gen Alpha,

[09:36] inspirational, whatever you want to call

[09:38] it. Uh, but these were built off of

[09:40] literally five questions I have baked

[09:42] into a custom GPT and then as soon as

[09:44] you answer those, it will generate that

[09:46] person for you and then you can tweak

[09:47] it.

[09:49] So,

[09:51] going through the personas and all that

[09:53] sort of stuff. Um, like I said, I'll

[09:56] give you guys all the GPTs. There's only

[09:57] three and you just use them in the order

[09:59] I give them to you. Um, first one will

[10:01] generate the actual character sheet of

[10:03] who that person is for your business.

[10:05] Second one will generate that the uh

[10:07] head shots and a few others. And then

[10:09] you take that import that into Flux. Um

[10:13] and that will give you uh the ability to

[10:15] put them in different locations,

[10:17] different scenes. It'll lock the model.

[10:19] Um so it'll keep that person exactly as

[10:21] they are. And then you can push them

[10:23] into any scenario you want to make

[10:25] reals, videos,

[10:27] whatever you want. Kind of like what um

[10:29] was just being shown with uh Chad.

[10:33] But um we're doing this right now for a

[10:35] couple clients.

[10:36] We're doing about I want to say

[10:40] three videos a day across nine social

[10:42] media platforms. We're just using go

[10:43] high level to push them out. Um so we're

[10:46] getting about 27 reels out per day right

[10:50] now. Um and some of those accounts are

[10:52] in the 50 to 150,000 followers. Again,

[10:55] this is just in the past two weeks

[10:58] building these out,

[11:01] but it's and you guys will get the

[11:03] scripts obviously baked into the GBT,

[11:05] but also uh there's a whole framework

[11:07] that we use in order to get the reels to

[11:09] actually land with somebody. So, like

[11:11] grab their attention, pull them in and

[11:12] actually have them like go to do a CTA.

[11:15] Um you guys will get all that and you

[11:17] can just dump it in. It'll write your

[11:18] scripts for you.

[11:21] Um,

[11:23] and then what I wanted to show um was

[11:26] some video stuff that I've been playing

[11:28] with. So, taking ideas like these guys

[11:32] or different concepts and actually

[11:34] animating them or creating different

[11:36] types of like film stuff with it cuz I

[11:39] like messing around with video a whole

[11:40] bunch. So, I'll show you guys some of

[11:43] that

[11:47] if it closes. There we go.

[11:56] So, like as an example, this was done

[12:00] I want to say three, four months ago.

[12:04] Um, and this was a follow-up to the last

[12:05] video I had shown at Rockstar. So, if

[12:07] you were here for that one, this is a

[12:09] different version of kind of doing the

[12:10] same thing.

[12:24] But using the same GBTs I'm about to

[12:27] give you, if you guys wanted to make a

[12:29] video, you could.

[13:14] Yeah, that's what this is based off of.

[13:19] So,

[13:50] say again.

[13:53] Oh, no. So each one of these is an

[13:55] individual image that was then later

[13:57] animated. But all of the video you're

[14:00] seeing, the rendering, the compositing,

[14:02] the upscaling, and the background music

[14:05] was entirely done by AI.

[14:11] So that was a couple months ago before I

[14:13] started playing with making hyperreal

[14:15] people like this. So that's an example.

[14:19] Um, this one's a little bit more recent.

[14:22] Um, this one was done like right before

[14:24] the holiday.

[14:35] Whenever you're alone, I'll just hold

[14:38] you.

[14:40] I'll do anything you want. I'm not home.

[14:46] You're a little taste of heaven on my

[14:49] tongue.

[14:51] You

[15:01] can't get

[15:34] But again, completely done with AI. Um,

[15:37] everything from front to back on that

[15:39] animation, all of it. Um, using the same

[15:42] prompts and templates that I'm going to

[15:43] give you guys.

[15:45] Question for you.

[15:45] Yeah. on those. How would you modify

[15:48] them to I mean script not withstanding

[15:50] let's say that that first one with all

[15:52] that destruction.

[15:53] Yeah.

[15:53] Could you theoretically modify it for a

[15:55] local business like water damage

[15:56] restoration more destroyed than

[15:59] Oh yeah of course. Yeah.

[16:00] But

[16:02] because that would blow away everything

[16:03] else at the local level.

[16:06] Yeah. So being able to do something

[16:08] cinematic like that at the local level.

[16:09] Absolutely. Um you can do that with some

[16:12] of the um stuff that I have inside the

[16:14] GPTs. Um, so for example, if you plug in

[16:17] a script, it'll go ahead and write the

[16:19] entire thing. You would need to render

[16:20] the image that you're starting from

[16:22] first, you just need that one composite

[16:24] image and then follow the script that

[16:26] the system outputs and then just dump it

[16:28] in your favorite video maker of choice

[16:30] and you'll get probably 85 90% of the

[16:33] way there. Go back and maybe edit once

[16:35] or twice and you're good to go. Um,

[16:37] yeah, absolutely. Um, so

[16:42] um, so I'm taking those and running them

[16:44] through. Um, right now we've got a

[16:46] couple that we're using. I'm using V VIE

[16:49] or a key, sorry, KIE.AI.

[16:52] Um, so we're just pulling based on the

[16:54] type of shot, the uh, type of framing

[16:56] composite. So, it's multiple depending

[16:58] on what the shot style is. Um, like

[17:00] certain ones work better up close, other

[17:02] ones work better with human faces. So,

[17:04] depending if it's a landscape shot or

[17:05] close up, different renderings. Um,

[17:08] we'll pick different models for those

[17:10] different scenarios. I have the AI

[17:12] pretty much trained to be able to figure

[17:13] it out on the fly. So, it picks its own

[17:15] model and then does it.

[17:18] But yeah, so

[17:21] yeah,

[17:21] you mentioned last time.

[17:25] Yeah.

[17:26] Is that the same key?

[17:27] Yeah, key. Yep. Key.AI. Um, it's

[17:31] basically it's open router like you said

[17:33] for video and and images. So, if you

[17:34] don't want to have 50 different

[17:36] subscriptions, just use that. Um, and

[17:39] you can just plug everything in. Um, the

[17:41] system that I'm using obviously to make

[17:43] the videos is vibe coded. Um, a lot of

[17:45] it lives in Air Table, so it'll build

[17:46] itself through Air Table, save all the

[17:48] scenes, and then I can go through and

[17:50] like manually tweak if I need, and then

[17:52] have it bulk publish, generate the

[17:54] audio, compress, and then spit it out.

[18:00] So, that's that. And then if you guys

[18:03] want to go ahead and play with any of

[18:04] that stuff in any format, go for it. Um

[18:08] there's three GPTs at the bottom of it.

[18:10] And then there's a sevenstep framework

[18:12] that we use for all short form videos.

[18:14] So if you're creating any kind of short

[18:15] form video, um whether it's with one of

[18:18] the people that you generate like the

[18:19] examples I've given or you have a custom

[18:23] avatar that you've already done or

[18:24] you're figuring stuff out in Hen, this

[18:26] will actually help you to get it right

[18:27] from a marketing and sales perspective.

[18:29] So, aside from the shiny stuff, the

[18:31] stuff I'll give you, the stuff you're

[18:32] getting on that will actually work.

[18:37] Yo, Dan, you know you owe me money for

[18:38] letting all these people scan that QR

[18:41] code.

[18:42] Got all your data now.

[18:45] Everything.

[18:46] Yeah.

[18:47] Does anybody have any questions,

[18:49] comments, accusations of heresy?

[18:53] Heresy.

[18:54] I've got a comment. I just want to

[18:56] commend you on that first thing because

[18:58] I used to sell on Amazon

[19:03] um as a real form of income and I've

[19:06] been thinking about getting back to that

[19:08] and uh yes, I just wanted to commend you

[19:10] for doing it because

[19:11] Thank you.

[19:12] You did a great job.

[19:13] Thanks. I appreciate it. It was just

[19:15] like I said, I'm only using one API

[19:17] that's ebase. Um the rest is through

[19:19] that little Chrome extension. It goes

[19:21] opens a new tab, looks up the product,

[19:23] scrapes the data, figures it all out,

[19:25] and then it does computations in the

[19:27] back, figures out if it's good or not,

[19:29] if there's enough margin, if there's

[19:30] enough quantity left in the store and

[19:32] Amazon, all that sort of stuff.

[19:34] And it it just does all the viability

[19:36] shopping for me essentially.

[19:38] So

[19:39] yeah, I think I was halfway not hearing

[19:41] you when you first started, right? But

[19:43] did you show them the Amazon auto ship

[19:45] thing you got?

[19:46] Yeah. So guys, right, like please

[19:48] understand, even if you don't do it, put

[19:51] someone in your family to do it.

[19:53] Especially if they're not in this

[19:55] [ __ ] realm. We talk another language,

[19:58] bro. What he's saying is just go babysit

[20:01] this [ __ ] and make some income and that

[20:03] lead them into your world and and more

[20:05] importantly, right, an income. He

[20:07] started the session off showing you a

[20:09] semi-automated way to make side money.

[20:13] How amazing is that? Thank you, Daniel.

[20:15] I didn't know you was going to add that

[20:16] in there. I know you told me you were

[20:18] doing it. Yeah,

[20:18] cuz you just started it. Yeah.

[20:20] And you're already getting sales. That's

[20:22] crazy.

[20:22] Yeah. And again, most of it is like I'm

[20:25] like I said, I'm not babysitting it. I

[20:27] wake up and see if there's any sales I

[20:28] need to push out in the morning, let it

[20:30] run for the day, check at the end of the

[20:32] night.

[20:32] That's it. Like the amount of stuff. And

[20:35] then it's just like answering customer

[20:37] questions, messages, questions about

[20:40] products, spam, any of that stuff. So,

[20:43] did you just pixel all the stuff there?

[20:45] I did not. That is just a straight cut

[20:47] through to Google Docs. Nobody's been

[20:49] pixelled.

[20:50] I'm playing nice this time.

[20:56] Cool. Any questions? Anybody?

[21:00] Guys, give it up for Dan, please.