0:06
The search engines had advanced.

0:08
So then I look back and I look at A I and I was kind of skeptical to start because there were people like this pushing this stuff and it was like the same crap I saw over and over again.

0:19
So when I started to, to decide like, OK, do I really think this is, this is the end of seo, it calls me to reflect on all those different inflection points.

0:28
And then I just looked at my revenue and it's like this doesn't look like a business that with each one of those articles where some pundit came out and said Seo was dead.

0:35
This really doesn't look like the kind of company's trajectory in a dying industry.

0:39
It just doesn't, something didn't add up.

0:42
But I'll tell you that this isn't hype.

0:44
I'm actually pretty much all in on A I and what we're seeing in the early early versions of it.

0:51
But whenever I get to a point where I'm trying to figure out what type and what's value, I gotta get rooted in data and that, what's the job to be done?

0:59
What is the thing that the person is trying to solve.

1:02
And that's why I think of A I more through the lens of practical A I, I think everybody in this room now has three new, I think everybody in this room has three new jobs and we're gonna talk about them today.

1:13
But one of them should be as a marketer, regardless of whether you're an seo a content marketer, email, whatever you should be, you should be using A I to find and remove friction points for customers.

1:24
Let me start off talking about a friction point.

1:26
So let's take the word primary care physician.

1:29
Like we all know what kind of page we would expect.

1:32
It probably looks something like this, right?

1:34
So you're a marketer, you gotta build out a page for the for the query, primary care physician.

1:38
I bet you came up with something like this.

1:40
Great.

1:40
You've done a great job.

1:41
There's no trick questions here.

1:43
Now, we're gonna put the word black in front of primary care physician.

1:47
I want you to take a second.

1:48
There's no trick questions here.

1:50
Use your brain for two seconds.

1:52
What would that page look like?

1:54
And now let's look at all the results.

1:57
No black physician here cost this.

2:00
I think this query is costing clients about $5 a click.

2:03
I scroll down.

2:04
No black physicians here, scroll down.

2:07
No black physicians here.

2:08
Scroll down.

2:09
No black physicians here.

2:11
Scroll down.

2:12
No black physicians here.

2:13
That is a black woman.

2:14
That is accidental diversity.

2:15
That is not a black physician.

2:18
Then I finally found one great but think about all that friction and the one that I found, I searched from this in Philly where Google knew I was in Philly.

2:31
Why did they show me an ad for a company that's in Harlem?

2:35
All of those companies are paying for those clicks.

2:39
This is friction for the customer.

2:42
I am never going to drive two hours to go to my primary care physician.

2:47
But Google had no problem showing me an ad for a company in Harlem and saying, well, they didn't select the right settings.

2:55
So throughout today, what we're going to talk about is how to find friction and plug it with chat GP T this may, this may mean your job is not eo anymore.

3:03
It might be the person that goes through all marketing and finds friction for customers and then figures out how to use chat chit to overcome those areas of friction.

3:12
See, because all you have to do is use chat and say I'm building a page that I want to rank well for black doctors.

3:18
What kind of messaging should I use?

3:21
And it talks about highlight your diverse staff, focus on representation and the importance of representation and show an understanding of health disparities.

3:28
So Chan G BT already knew what the right answer is.

3:32
The problem is, is I've been showing this for almost two years now.

3:35
And nobody has solved it.

3:37
We still have this issue in our industry and this just keeps happening.

3:42
I will search for the word Monday desktop app and I've got an ad for Monday when Google has already learned that their support section is the right answer.

3:50
This happens everywhere.

3:52
Look at this page for Monday desktop app.

3:55
Does it look like the right answer?

3:56
In the same way we saw with the black physician example, this is the exact same thing and we as an industry have accepted this bullshit.

4:04
I have not seen anybody on these stages consistently pressing us for doing better for our customers by understanding their needs and finding out where there's discrepancies and that shit is going to stop today.

4:15
So for us at sea or you might have remembered years ago, we talked about something called Saving Ben.

4:19
And what it does is it basically enables us to look at your CPA by ingram over time.

4:24
This helps you to see something like, hey, I have a client where the word cost is literally costing them twice as much as it did.

4:31
12 months ago.

4:32
I should probably dig into that query given that they spend $11,000 a month on it.

4:37
Are there opportunities that words around cost that are driving people to the wrong ads and or the wrong landing pages maybe.

4:46
Now let's go back to jobs to be done.

4:47
Let's say you're trying to buy a car.

4:49
Let's go back to the pre Google days.

4:51
This is maximum friction days, right?

4:55
A lot of asymmetry of information and then Google came and it was great.

4:58
I could search for the cars.

4:59
I wanted to get answers in the comfort of my own home or on my device without having to go through all that friction and all that kind of asymmetry of information that consistently made us not feel great at that parking lot with that used car salesman and then to get rewarded in Google, we know we kind of had to start to put stuff in there.

5:17
Right.

5:18
So now we've got all this stuff like the price of new cars has risen substantially over the last few years.

5:22
That fucking helps nobody.

5:24
When I'm looking for a car under $25,000 I do not need to be told that the price of new cars has risen substantially over the last few years and that shopping on a budget isn't easy.

5:32
I'm on a budget.

5:33
Trust me, I'm the person that already knows.

5:35
It's not easy.

5:35
I don't need you to reiterate that.

5:38
So now we've put in all this fluff and then we've made people have to click 25 times to get answers.

5:42
And now we have put in these write ups that aren't necessarily what people actually want.

5:47
Go ahead and tell my wife that the engine is underwhelming.

5:49
She doesn't care, she doesn't care about engines, but all we'll drive she does care about because she doesn't want to get stuck in the snow.

5:55
But yet this write up doesn't speak her language.

5:57
Then all of a sudden after clicking 24 times you go, oh, wait, all wheel drive, I care about all wheel drive.

6:03
Did that Civic have 20?

6:04
Did that Civic have all wheel drive?

6:06
Well, that was 22 fucking clicks ago.

6:08
So now I got to go back 22 clicks just to think of, hey that all wheel drive.

6:13
Does the Civic have that friction for customers?

6:17
You know, it's so funny how much we focus on seo and I think what we really should focus on is friction that will always, there will always be jobs for people who are looking to eliminate friction between the customer and what they want.

6:28
So then I clicked the back button and went into the third ranking result and look at what I get here, free TV.

6:35
I want free TV.

6:36
Why are you showing me an ad for free TV?

6:37
Why are you showing me 322 photos?

6:39
Why are you giving me this guy walking around a car that I'm probably not overly interested in?

6:43
Oh, thanks for the share buttons.

6:44
I've never clicked one of those in the last 10 years.

6:47
Then I've got trending pages that are nothing about cars under $25,000 up.

6:51
And there's my guy again down there still talking to me that I don't want to hear from and this happens over and over again.

6:57
Here's your kind kind of write up that doesn't really fit what I want.

7:01
This is the state of our industry and, and this has helped us all to grow in this room for a long, long time.

7:09
But those times I believe are coming to an end.

7:12
So we really just moved from one type of friction to another type of friction.

7:15
Is it better?

7:16
Yes.

7:17
Is it the ideal state?

7:18
No, but I think we've all seen the ideal state and it's called Chat GP T.

7:23
So I think that one of the things you're gonna have to think about for, for the future of your job is where can you pry unique data out of your company?

7:30
And that's where you're gonna create outsized value from an A I perspective.

7:34
If you just go to Google and use the same tools everybody else used in today and put the same kind of prompts in, you're gonna get the same answer, which means we're just going to bloat the internet with more content that it doesn't fucking need.

7:46
That says the same shit.

7:49
So let's get back to the customer.

7:52
These are the things that I want.

7:54
Can you give me a list of cars under 25,000?

7:56
I would like you to give me each one with the three sentence synopsis on it, please.

8:00
Great.

8:00
Got it done.

8:01
Simple.

8:02
Which of these cars has the highest safety rating.

8:04
Got it done.

8:05
Subaru Impreza.

8:05
Awesome.

8:06
Thank you.

8:07
Next.

8:07
But before we go to next, notice how Honda Civic and Toyota Corolla showed up on my second iteration of asking that query.

8:14
Remember folks, this is chat GP T this is generative A I is going to give different answers at different times.

8:22
And if you want to be a knowledgeable steward in your company and a person leading your organization, you're gonna have to recognize those kinds of things are happening that people may search for the same exact prompts and get different answers.

8:33
And I'm gonna show you how to be the person that leads in your company in that regard.

8:39
All right, I want to comparison matrix.

8:40
Remember all that clicking back and forth over 22 clicks.

8:43
That sucks.

8:43
So what I want, I'm gonna tell chat GVT, I want to comparison Matrix to show each car and whether it has a bunch of features here, it gave me it.

8:50
This is still better than what I saw before, but it's not great, not very helpful.

8:54
So then I said, you know what I need to know which of the features are included in each trim.

8:58
Feel free to make a column with the lowest trims, blah, blah, blah, blah, blah.

9:01
And then now it gives me the Honda Civic LX versus the Honda Civic Touring and what exactly is standard and not standard in those cars.

9:08
Thank you so much.

9:09
Chat.

9:09
GP.

9:09
T I know some of you will talk about hallucinations.

9:12
Well, well, how do you really know that the touring is the one versus the ex?

9:15
I don't, but you know what?

9:17
I would much rather avoid the 50,000 ads.

9:19
I'm going to see all the pop ups.

9:21
All the consent forms have to get all the way to the end and have to search for Honda Civic features.

9:26
I would much rather have to make those last three or four queries than having to make the 8000 and deal with all the friction between me and the answer.

9:33
But then it doesn't stop.

9:35
Now, I can actually take my preferences on how I live my life and have it.

9:39
Give me back answers related to that, that my friends is the holy grail.

9:44
It is the least friction way of me as a customer getting the answer.

9:47
I'm not concerned about search engine optimization.

9:49
I'm concerned about customer journeys.

9:52
How can I be the person to help all of my clients make their customer journeys easier in all their channels.

9:57
I might just happen to use search data to do it.

10:00
So which would you prefer?

10:01
I think we all know the answer.

10:02
So then as I reflect on 12 different Moscow, I've been at and 12 different times.

10:06
I've been on this stage, the things that I've dropped, my job has always been to help try to level up our industry by looking around corners.

10:12
It's literally my job and I don't get it right all the time, but I got it right a few times, whether it was the early days, talking about how to better do link building and keyword research, whether it was real company shit, or the fact that I stood on stage and showed you audio of me listening to a customer, go through our client's content to make sure that content was actually helpful.

10:29
You want to produce something that chat GPT can't produce, listen to your customers.

10:34
And in the last four years, I've been beating the drum on big data as it relates to joining P PC and SEO data.

10:40
Was it valuable?

10:41
Yes.

10:42
Was it easy to do?

10:43
No.

10:43
Did it take a lot of time to do it?

10:45
Yeah, it took a lot of time.

10:47
I gotta fix that.

10:49
It took a lot of time.

10:51
So while I made it look easy up here, you know, I have to respect the fact that it's not.

10:56
And as I was reflecting on this presentation, you know, it reminded me of what it felt like to sit in the seat that you're in right now.

11:02
It was 2011.

11:04
Richard Baxter was on stage presenting at and he showed how to do this amazing thing in Excel.

11:09
And I had Richard's Skype back then and I could ask him specific questions on why I wasn't able to do it.

11:16
And this made me reflect I did to you.

11:19
What happened to me when I was sitting in the same seat you're in, I sat there and I took all the notes and I paid really close attention, but I couldn't figure it out on my own.

11:28
And that is exactly what I've been doing over the last few years for probably 99% of you.

11:32
I created all the videos I said, go here, go there, learn this yourself.

11:35
And for some reason when you get back to your desk, it's just never as easy as it looks when that person is on stage.

11:40
So I presented it on stage and it looked like this.

11:42
It was super easy.

11:43
Everything just flowed and people based on your feedback were like, I really like that approach that will is talking about you.

11:50
One of the things that were in my head.

11:52
So you went home and you tried it.

11:54
But when you got back to work, things were just a little bit crazy.

11:57
Now, weren't they?

11:58
It was the battle of Yeah.

12:00
Well, I've seen all these great things at Moz.

12:02
You were, you were the last one.

12:03
I think that was also great.

12:05
But now you've got me doing data assembly line.

12:07
Like now I'm literally on the assembly line, putting all this stuff together.

12:10
And really what I just want is the answers.

12:14
You know, we could see people saying, I like what he's saying, but it's just too much work.

12:17
It's kind of like getting a six pack.

12:19
Like I would like one.

12:20
It's just too much work.

12:24
So the problem when you want to get into my head is I also come with the entire freaking wu-tang clan as an agency.

12:29
It's like there's 12 of us on every project it feels like.

12:32
And sometimes it's like, man, we really don't need all of you to show up for everything that we need.

12:38
So this was even difficult at cr and I'll let you read all this later in the slides, but this was really difficult to scale at sea R as well.

12:44
For all of these different reasons.

12:46
Sometimes clients were like, I've got my in house team.

12:48
We're ready to go, we saw what we presented.

12:51
I just want that I don't need all the consulting that cr offers around it and all the people that come with it.

12:58
I want unique and fast insights that I can't get anywhere else that will help me to drive a wedge between me and my competitors and it looks like you got it.

13:06
But instead what you've made me do is go back and recreate the assembly line in order to be able to extract that value.

13:10
And it sure as hell ain't as easy as it looked when you were on stage.

13:15
And again, I come back to this Sears created unique data so that we can create outsized value for our clients and drive a wedge between them and their competitors I will mention after this super know that a little bit.

13:28
Yeah, I got a code and the other version.

13:34
So I wanna get the practical A I not this hype driven crap that we keep seeing.

13:40
So B came out with some analysis on a couple of 100 million queries around like which ones are better for chat and which ones are better for search.

13:48
I gotta change that slide.

13:53
And what they found was that when people kind of knew what they wanted, chat was a lot better.

13:59
And I think I just showed that to you earlier.

14:01
So what's gonna be left for many of us owning brand, take this research from Bing and go make sure that your company today is owning as many of the branded.

14:09
People also ask some branded queries as you possibly can because that's going to be the last place we're going to have to battle the problem with the hype version of A I is it's like, is this affecting 1% of my customers or 10%?

14:23
You know, do you know if 1% of your customers right now are using chat GP T to find solutions or 10 or 50?

14:29
No one knows there's no reporting.

14:31
We recently did an analysis.

14:33
I'll need this number from you where we looked at the referral strings and just created.

14:38
is that, is that launch yet?

14:41
Yeah, it's so I have to get that in.

14:43
I have some slides already put in for the other version for you.

14:46
Excellent.

14:48
So are you still listening to experts?

14:49
I'm gonna go back to what I started doing five years ago.

14:51
Get your own data.

14:53
These experts are going to tell you that it's taking over and I'm telling you it's not taking over in every industry from what we are seeing.

14:58
So you're going to pull the data, I think as an agency, I owe it to my clients to get them all in some kind of a distribution and help them to know which ones are likely to be disrupted and which ones aren't think about this focus.

15:09
This is pretty basic if your MS V is decreasing and your rankings have stayed the same and your number of leads according to analytics has stayed the same and then you get your access to your CRM and the number of, of MQS is the same or SQL is the same, then maybe the customer has moved on to the keywords.

15:27
We're going to have to figure this out and get data to help our organizations understand how much they should or should not be leaning into our customers are going to be going to a, let's get that.

15:39
So the three jobs that I think that we have coming out of today is turn more nose into Yeses A I is allowing us to turn old nose into new Yeses you literally have to look at your job differently.

15:53
I'm going to share with you how I'm doing that two.

15:56
You got to think more.

15:57
I'll tell you all of us say, oh, if somebody could just get all this tactical work from me, I would be more strategic.

16:03
I don't buy that for a second.

16:05
I think people that consistently think and have more hypotheses are going to win in this new world because you're going to be able to test them faster.

16:12
Because what you're going to do is every time you have a hypothesis, you just might be able to build a little mini app that can answer the question without having to go through developers.

16:21
This is all this thing I'm saying is like it's facts and data over the frenzy of A I.

16:26
That is where I really want to take us the facts over frenzy.

16:30
Everything I'm gonna show you is gonna be very rooted in data.

16:35
So when the CMO says, what is our brand visibility in chat GP T if our customers start to go there, today's seo there's no ranking tool.

16:42
I heard that Bing is going to come out with this eventually, but nobody's giving us that data.

16:47
Tomorrow's Seo goes well, hey, Bing already told us which type of queries are most likely to be better for chat.

16:53
So why don't I take the people also asks with those words in them, run those people also ask through chat GP TS API using GP T for sheets and then tally up how often our brand shows up and run this every week so I can give you a visibility score.

17:05
So whether 1% or 10% or 100% of our clients end up on these gender to A I platforms.

17:11
I want you to think of me as the person that maybe just doesn't do.

17:15
EO also helps to advise you across the organ where our customers are going to get answers to their problems already.

17:22
Got that.

17:23
So now you just plug all this stuff in the chat GP T, right.

17:26
I'm going to give you in a CS VA bunch of keywords.

17:29
And those keywords include Ingrams like best or verses which tell me that somebody might be looking for multiple solutions to their problem.

17:37
So I gave it best in which in verses and other words that I thought would be in the type of queries that would attract, that would be attracting lists of brands.

17:45
So I could then say to my client, hey, here's how often our brand is showing up for queries where people are typing in these kinds of words.

17:53
I said I'm open to adding additional Ingrams.

17:56
Can you show me ones that I might have missed.

17:57
It, gave me a bunch of suggestions based on the data that I had given it, which I want to take a second.

18:03
You know, it's so easy to talk about A I and bias.

18:06
Everybody here is gonna talk about it.

18:08
What about the, what we don't talk about is how to use it to be less biased.

18:11
And what just happened there is I led in with which and verses and things that I believed were right.

18:17
I'm able to use Chat BT to minimize my bias and how I do keyword research.

18:21
No one is talking about like when was the last time you heard somebody talk about how chat G BT can minimize bias.

18:28
So then I go into supernova and then I say, hey, show me all the people also ask across every client that contained best or verses or compare or top or cons in the last month.

18:37
Boom.

18:38
It gives me each client stack ranked in terms of which one is most and least affected by their number of search terms and or what percentage of their search terms trigger.

18:46
People also ask with these comparison queries.

18:49
So I know that I got to check for their brands.

18:51
I can bring in their costs.

18:52
I can bring in their conversion.

18:53
I can bring in all the other data that when those people also show up, I am in a position to know how disrupted my client will be with facts and data and that frenzy we built, we built this for you guys to do.

19:06
I don't think it's that difficult to do.

19:08
I think it's pretty easy.

19:09
But you can do this yourself, if you would, if, if you would like here is how to do it.

19:15
All right.

19:16
So again, like I said before, if your clients are scattered on a scatter plot, you can see and kind of quadrant out like there should be different consulting for clients at different levels.

19:27
And by the way, if you believe that what we just showed you was valuable, Jordan has a post on how to do it with 10,000 or more.

19:35
People also asks and what I loved about his approach and power B I was that we can now look at when we search for words related to CRM, we're able to see that Zoh Hubspot are actually beating out sales force according to chat GPT.

19:49
Zou doesn't have salesforce's budget and I don't think hubspot does either.

19:52
But yet when people go to chat, Gpt and their people also ask questions include words like best and what not.

19:58
We're seeing.

19:59
Zoh and Hubspot more likely to show up in those answers than sales force my friends.

20:05
I'm not going to get too deep into this because I don't have time today, but I believe there's a massive resurgence in pr keep in mind that A I and these generative A I search engines for right now, they are basically just prediction engines, they're probabilities.

20:18
So the more you can get your brand mentioned around certain types of words, the more likely you're going to probably show up in the future instances and future updates of these chat driven search engines.

20:32
So your job again, have more yeses have more hypotheses and build more mini products.

20:38
You do these things.

20:39
You don't have to worry about your job being replaced at all.

20:43
So let me show you my second hypothesis.

20:46
I had found out three years ago that Wikipedia's traffic was publicly available on the internet.

20:50
I had to use chat PT plus this tool called Notable together to be able to start to play around with that data.

20:56
I had spent three years waiting to get the time to, to do this.

21:02
I had it in my inbox on a recurring monthly message for three years.

21:07
I solved this problem in 20 minutes with chat GP T and I'm telling you this is why I'm all in because I took a three year problem and solved it in 20 minutes.

21:16
So now when I talk to my clients, I can say, hey, if T BT takes off, I think one of the sites that's going to take the biggest hits is Wikipedia.

21:23
That is just one of my hypotheses.

21:25
Remember more hypotheses.

21:28
So now I go to chat GP T and I say, hey, I hear that Wikipedia traffic data is stored in Bigquery.

21:32
Is that true?

21:33
That's all I had to say folks.

21:35
And it's like, yes.

21:36
And then it gives me a bunch of stuff.

21:37
I don't know how to do Bigquery console, Bigquery Api Python or R I don't know any of that shit.

21:41
I would like you to use Notable to write Python to interface with the A P and I want to give you a bunch of Wikipedia URL.

21:47
So you can tell me if you are seeing downward trends in traffic after a certain date because I want to be able to tell my clients whether or not we believe that their traffic is trending down on Wikipedia after chat and other search engines like these have launched, it says, oh, do you have GCP credentials?

22:02
I'm like, I don't have GCP credentials.

22:04
Find another way to solve the problem.

22:05
It goes no problem and writes all the code.

22:10
So then I pasted in all the Wikipedia pages.

22:14
It runs into a problem.

22:15
One of the things I'm finding was notable is that its ability to then work through its issues with chat GP T is phenomenal.

22:22
So it said, hey, you need a user agent in order to be able to finish this, finish this in order to finish this request, you need a user agent.

22:29
OK.

22:30
It then later goes on to say you can give me your email address as the user agent.

22:33
Guess what I did, I asked him like I can just give you my email, right?

22:38
Gave it my email boom.

22:39
Now I'm getting traffic by day from Wikipedia for any keyword that I want where Wikipedia is ranking in the top X I can do this for four for four URL.

22:48
Si can do this for 4000 or I can go into supernova and export 4 million Wikipedia pages if I wanted to.

22:56
And then I asked it to graph it out and it goes oh, I forgot to import map, plot live library to plot the graph.

23:02
Let me do that and it just does it for me and then it creates this ugly graph.

23:05
And I'm like, OK, let me then instead tell it, I want to plot it out over the last 30/30 days and it does it perfectly.

23:12
And you can see that blue line is consistently below that red line.

23:16
year over year, don't know exactly what that means.

23:19
But that gap seems to be getting bigger and bigger for the word bachelor's degree.

23:23
But let's now think of other ways to use this.

23:25
Remember when I said your job is to turn no's into yeses back in the day when your client said, what's the value of me out ranking Wikipedia?

23:32
You probably said, I have no freaking clue.

23:35
Now, what I just showed you you can do is you could say yes.

23:38
So I go through and I find where Wikipedia is number two and where some other domain is number one.

23:45
Then I go into hr and I find out when they took them over and now I can see the traffic drop for Wikipedia and I can consult my clients to go.

23:52
Yeah.

23:52
If we're able to outrank Wikipedia, here's the lift.

23:55
I think you might be able to get for these specific Wikipedia pages for these specific queries that you spent a certain amount of money on according to pay data.

24:02
And I just did all this out knowing the lick of Python.

24:06
No, GCP.

24:07
No API, no, R none of that stuff.

24:11
So now what you do is you start thinking holy smokes.

24:14
I can just take anybody on the planet who's written a Python script and put it in the chat GP ty.

24:20
So what you do is if you know how to copy and paste, you can take somebody's, somebody's work in Python without knowing a lick of Python.

24:27
Drop it in the chat GP T and go, hey, I'm an EO I want you to read these API instructions and guide me on how to do this for my own site.

24:34
Can you tell me what you think this code does?

24:35
I pasted it in.

24:36
It's like, yep, got it done.

24:38
I'm like, I got a list of five URL S and five target URL s for you to create my redirects based on what those pages are all about.

24:44
Can you do that?

24:45
Yep.

24:46
It does it.

24:47
And then it helps me to build out exactly what page in my old site I should be redirected to the page on my new site.

24:55
I'll be explaining that a little bit better.

24:58
Because I missed something there.

25:00
So what I should have said, there's another, I'm missing a thing in the middle on there.

25:06
I'll go back and have to fix that.

25:08
All right, then let me get my third hypothesis hypothesis.

25:11
So I'm using link reader to improve individual landing pages.

25:14
Remember that Black Doctor example, I'm gonna show you how to, how to start to solve for that problem at scale, semi scale.

25:22
Oh But link reader is dead now.

25:23
So we have to use web pilot.

25:24
So this is the other thing.

25:25
If you're going to be on the front lines, you got to have to get used to the fact that this shit is changing so fast that you can't be like who moved my cheese?

25:32
It'll kill you.

25:33
You gotta be ready every day that something's going to change, it's going to throw everything upside down.

25:37
And really, to be honest, that's why we should all be an eo anyway, if you wanted to stay in an industry that didn't change, you should have went to fucking accounting.

25:47
So we have to realize that these words around words, change words.

25:49
Remember that black example?

25:51
This is how we found it.

25:52
We were just in our tool for our clients that said, hey, this ingram is suddenly costing you a lot more to convert these people.

25:58
Why?

25:59
Because more people started searching for Black and we did a really bad job of solving that problem for them.

26:03
So we get automatically notified of that given our notification system.

26:07
But now I'm able to say to chat GP T, hey, I'm going to build a landing page specifically using A I to solve this problem.

26:14
And one of the things I think all of you need to do is start to say I'm going to solve this problem only using A I or only using Chat GP T because otherwise you're going to quit and you're going to go back to the old way and you're going to do yourself a disservice.

26:26
So I'm gonna give you a query and then a list of web pages.

26:29
I want you to use the notable plug in to show me how to, to show me the Google Trend for that query for the last five years.

26:34
And then I want you to do some other stuff you can read it.

26:39
So here's my query.

26:40
Black Primary Physicians.

26:43
It goes great.

26:44
I fetch the Google Trends data.

26:45
So if anybody in here has ever wanted to get Google Trends data via the API at scale and you were told by some developer they didn't have time.

26:53
You now just need to type it the fuck into chat GT and it will do it.

26:57
But then I'm gonna show all these ads.

26:59
So I took, remember how I showed you all those companies that got it wrong with Black Doctor that took all their landing page URL S and dropped them in.

27:06
We took all their ad copy and dropped them in and up.

27:09
Google's already come back or chat GB has already come back with a line of the black primary care physicians.

27:15
Trend.

27:16
Look at that 2019 to 2020 then 2020 to 2023.

27:22
There's an uptick here.

27:24
Ok.

27:24
It's a noticeable difference.

27:27
So now we know that our customers are using new language.

27:30
We're going to bring it back to customers.

27:31
That's what this always should have been about.

27:33
Our customers are using this language and we're not prepared to answer it.

27:36
Well, I'm going to take all the ads.

27:38
I'm gonna take all these URL S and I'm gonna put them all in the chat GP T and I'm going to have it.

27:42
Tell me how good its ad was.

27:45
Do not have T GP T rate anything on a scale of 1 to 10.

27:47
It sucks at it unless you define it.

27:51
But it's actually giving me notes on the ads and the web pages and, and it's telling me what we already saw.

27:57
Now, imagine a world where you don't need to click on all those links to find out that you're missing out on this opportunity.

28:04
It tells me over and over again.

28:05
Nope.

28:06
Nope.

28:06
Nope.

28:06
Nope.

28:06
They're not doing a great job.

28:08
And then I go, I'm going to give you another page.

28:10
I'm going to give you the one that ranks number one for black black primary care physician and it comes back and it's like, oh, this page is great and here's all the reasons why it's great.

28:21
Then you ask it for headlines, look at the headlines for these.

28:24
They're so much better than the crap that we saw and we actually would have a landing page to match the customer's intent.

28:33
Now, I wanna remind you that I just created for you a data assembly line, which is what I've been fighting against since we launched Supernova did not make you have to do it all.

28:43
And yes, this line goes a heck of a lot faster.

28:45
Look at it.

28:53
This goes a heck of a lot faster guys like I just had to drop in the URL si had to get the ad copy, push it all in.

29:00
I'm able to validate that this is a growing trend.

29:02
Ad copy landing page is great, but it's still a lot of work because what you're gonna do is you're gonna do this for your top 10 or 20 queries.

29:10
You cannot do this for hundreds and hundreds and hundreds.

29:13
So therefore, what do we need to do?

29:15
Why is there an Amazon driver at my house?

29:18
Oh, yes, ordered something.

29:40
Hello.

29:46
Hello.

29:57
Do you do to me?

30:07
All right.

30:13
All right.

30:13
So now I'm back to the headlines and descriptions like look at all of this.

30:17
We can make better experiences for our customers using A I.

30:24
So now you guys know me, I'm the big data guy.

30:27
There's no freaking way I'm ever going to tie up sear people having to do all that work.

30:31
And I also told you about the power of supernova.

30:33
So yesterday I built this in 25 minutes.

30:35
It basically takes all the ad head, all the ad headlines that I have.

30:40
I, well, first I can pick any client, then it's gonna give me how many ad headlines we were able to scrape.

30:45
It gives me all the ad copy and the URL S.

30:50
Then I'm taking the number one ranking page for all those queries and their titles and descriptions.

30:56
So now I'm able to say not yet.

31:00
And of course, I'm always going to root this in revenue.

31:02
So now I'm also able to attach my paid search to this.

31:05
So my version of not building the data assembly line, which I told you earlier was a mistake that I made for my team when we launched this big data thing is to basically build out dashboards like this, bring it all together across 21 million ads and then just cut that up for different clients, send it out and have it automatically scaled that my friends is why we built supernova because not everybody needs to see your team to do all that work.

31:26
But they might just want these insights the way that we make that happen for those of you who don't want to go through the assembly line.

31:33
All you got to do is give us your Google AD ID, your bing A ID.

31:36
And not only would you get that you would get 20 other things that I've built that have sat in my head for years that I'm finally able to execute.

31:42
We have a waitlist.

31:43
You can sign up if you don't want to do it.

31:45
And then I have to figure out what I'm going to end with is like the only reason why I'm sharing this with you, I got to find my own way to say this is because I've seen that this thing affects people, but it only affects like 2% of the maz audience.

31:57
So therefore, if you're like, I just want those insights and I know I'm not gonna have the time budgets are being cut.

32:02
I don't have the time blah, blah, blah, blah, like I just want the insight.

32:05
Well, then you can just get the insights now.

32:06
Whereas Old Sear that was really fucking expensive for you to get new cr if you're interested and sign up for our wait list.

32:12
And as we're able to roll this out for clients, we'll let you know.

32:15
And then, but then I got to find my own way to be like, but of course, all this shit has been open sourced like we will show you how to do all this for yourself and for the 2% of you that are gonna go home and do it.

32:25
Great.

32:25
We will always be the leader in that area to show you how to do this yourself.

32:29
We will make the videos we are going to commit to do all that.

32:31
But if you're like, well, I, I've tried to watch the videos in the past.

32:34
It's taken me way too fucking long to figure that out.

32:37
I'd rather just get the data and the dump so I can get moving.

32:40
We also have that available too via supernova.