About this Episode:

In this episode, you will find out the secret to crafting content that will perform better on any platform, to scale your business faster in an increasingly competitive marketplace. 

Joseph is joined by our special guest  Alexander De Ridder, Co-founder, CTO, and Creator of the world’s first AI-powered content performance editor, INK.

Where most people see problems, Alexander De Ridder sees potential. From startups to Fortune 100 businesses, he has designed dozens of technologies, ranging from artificial intelligence to application development and marketing technology.

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Connect with our host Joseph Franklyn McElroy:




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First, Ridder talks about how he learned to code and provided a funny story on hacking windows. Ridder then goes into his love for the web as a development platform and his interest in how and why humans make decisions. Ridders finishes up by telling his path into SEO.


In the second segment, Ridder talks about co-creating an SEO agency. Then, he finished how he got into AI coding. He also provides details on the creation of INK, and the problem INK is solving. Lastly, we learn where the future of content marketing is going.


For the third segment, Ridder goes into the uniqueness of INK; a one-of-a-kind patented emotional AI that increases your rankings. It gives content for anyone anywhere. It is based on the future of search with trust and engagement.


Ridders speaks on where INK is going in the last segment since it is already ahead of the market with cutting-edge technology. It provides a way to get a constant massive click-through rate. Its goal is to lead the language movement.


00:00:44.700 –> 00:00:55.110 Joseph McElroy: Hello thanks for joining us on this week’s episode of wise content creates wealth you’ve heard the content is king well wise content rules, the world.

00:00:56.040 –> 00:01:03.450 Joseph McElroy: Why is it because it is beta intelligence-driven storytelling content created for promotional sales and marketing purposes.

00:01:03.780 –> 00:01:15.150 Joseph McElroy: It is the heart of modern marketing and without it, digital marketers will fall behind their competition lose connectivity with their customers, and ultimately fail at being profitable.

00:01:15.840 –> 00:01:25.350 Joseph McElroy: This podcast investigates the art science tech and people that make wise content successful now. I am Joseph Franklyn McElroy

00:01:25.980 –> 00:01:39.540 Joseph McElroy: And I am a marketing technology expert who’s built multi-million dollar companies created award-winning technology and successfully implemented viral content campaigns, today, we were talking about communicating with purpose.

00:01:40.380 –> 00:01:55.320 Joseph McElroy: First, have you ever heard of a chatbot, I assume, so because they become somewhat uniform online for customer service are ubiquitous and they become an important tool and marketing and improving customer satisfaction.

00:01:56.340 –> 00:02:01.200 Joseph McElroy: And it says, in essence, the chatbox is an artificial intelligence program that chats with you.

00:02:01.680 –> 00:02:08.400 Joseph McElroy: and provide you information and support and a little box that pops up on most on websites were probably seen.

00:02:08.880 –> 00:02:12.450 Joseph McElroy: things happening do things like book The are connected to the right person to talk to.

00:02:13.200 –> 00:02:20.490 Joseph McElroy: And they are used to recreate really powerful interactions with users, aid business processes, and gain information.

00:02:21.270 –> 00:02:39.540 Joseph McElroy: And chatbot are also used by search engines to find new things on the Internet and archive new pages for future search and box of the news from malicious purposes, but essentially it’s a digit is digital code with.

00:02:40.620 –> 00:02:58.350 Joseph McElroy: With text and messaging as its voice-based applications and there are well known, well-known ones, you know Siri and Google Alexa so voice-based chatbox exist new probably use them every day, but there was a time when they did not exist.

00:03:02.400 –> 00:03:19.320 Joseph McElroy: my first thought was Eliza it was created by Joseph Weizenbaum in 1966 and it used pattern matching and substitution methodology to simulate a conversation, so it would match the structure of the sentence then go match it against possible.

00:03:21.630 –> 00:03:29.580 Joseph McElroy: You know responses and bring out a response, and it was designed in a way to try to mimic human conversation, and it worked by.

00:03:30.210 –> 00:03:43.050 Joseph McElroy: Passing the words of user entered into a computer and then pairing it to the last two lists of possible scripted responses and it is, and it was pattern mostly after psychotherapist.

00:03:44.460 –> 00:03:51.630 Joseph McElroy: And it proved and eventually have been a significant impact on natural language, processing, and a natural intelligence AI intelligence.

00:03:52.050 –> 00:03:57.390 Joseph McElroy: And with copies and variants being produced in academies all over the country, it was quite successful.

00:03:57.870 –> 00:04:11.910 Joseph McElroy: However, why isn’t from was troubled by the reactions of the user he intended Eliza it to be a mere caricature of human conversation that suddenly users were combining the most profound thoughts and Eliza.

00:04:12.510 –> 00:04:18.150 Joseph McElroy: Experts are declaring the chatbot to be indistinguishable from humans within a small number of years.

00:04:18.540 –> 00:04:31.650 Joseph McElroy: And why is it wiser and bombing rejected that notion that the machines could replace human intellect here he’d argue and said that the devices research tools and extensions of the human mind is he.

00:04:32.430 –> 00:04:39.900 Joseph McElroy: He was stressed that the computer’s understanding of language is entirely dependent on the context of who he was they were used to.

00:04:40.950 –> 00:04:53.370 Joseph McElroy: So he actually created this job chat Bot, to prove that it couldn’t ever be successful at reproducing human interaction in human conversations, but many people believe that at the time.

00:04:53.370 –> 00:04:55.740 Joseph McElroy: we’ve created such a bit of a stir.

00:04:57.180 –> 00:04:58.890 Joseph McElroy: And then, many people have built upon it.

00:05:00.840 –> 00:05:05.250 Joseph McElroy: What are its beginnings over the years and eventually.

00:05:06.390 –> 00:05:08.340 Joseph McElroy: Some of them started passing.

00:05:09.900 –> 00:05:19.800 Joseph McElroy: let’s put quotes around passing the Turing test right the Turing test was a resilient imitation game created by Alan turning and.

00:05:21.270 –> 00:05:24.900 Joseph McElroy: to test the machine’s ability to exhibit intelligent behavior.

00:05:26.250 –> 00:05:33.360 Joseph McElroy: And it basically would have conversations and should be able to have conversations and for a certain percentage of humans on a board or.

00:05:33.840 –> 00:05:45.390 Joseph McElroy: You know, evaluating judge judges and if it Pat, you know fool a certain number of them, they couldn’t tell where they remember a conversation with the human and machine, then it considered passing the Turing test.

00:05:46.860 –> 00:05:49.680 Joseph McElroy: And you know this was supposed to be a big point.

00:05:50.700 –> 00:06:00.690 Joseph McElroy: In the evolution of artificial intelligence and he actually projected that that by the year 2000 or so that that computer chats with you know.

00:06:01.080 –> 00:06:15.690 Joseph McElroy: conversations, will be able to actually fool 30% of the people on a judging board right and in fact in 2001 of a chatbot called Eugene Goosedben.

00:06:17.850 –> 00:06:22.800 Joseph McElroy: regarded by some that’s why I put quotes on the passing as having passed the Turing test.

00:06:23.910 –> 00:06:28.200 Joseph McElroy: Because they did something clever they made it into a 13-year-old retraining boy.

00:06:29.280 –> 00:06:36.150 Joseph McElroy: mimicking a Ukrainian boy and had we’ve had quirks and little things that made it charming, and so it did fool.

00:06:36.450 –> 00:06:44.670 Joseph McElroy: 30% of the people and not so much based upon the content of what he had to say, but just on the quirkiness and charm of the.

00:06:45.030 –> 00:06:52.830 Joseph McElroy: Things so some people say that doesn’t call it that, that didn’t you know the result that passing the test, but there have been others that have passed that.

00:06:53.250 –> 00:07:05.370 Joseph McElroy: says now debates about whether computers can reproduce human conversations is important, and when we’re talking about cockpit because now there’s a new standard called open API.

00:07:06.150 –> 00:07:15.420 Joseph McElroy: is creating things like GPT three, which is, which is you know sets of you know algorithms and tools to help produce content.

00:07:15.780 –> 00:07:30.150 Joseph McElroy: I supposed to be computer generated but simulated human interaction and people are debating whether you know the days of human creativity are coming to an end so somebody who is somebody who is intimately familiar with this discussion is Alexander De Ridder

00:07:31.500 –> 00:07:41.430 Joseph McElroy: Alexander is designed dozens of technologies, ranging from artificial intelligence to application development and marketing technology has worked with startups and fortune 500 companies.

00:07:41.700 –> 00:07:49.440 Joseph McElroy: he’s a Co-founder, CTO, and creator of the Ai-powered content performance editor INK, Hello  Alexander.

00:07:50.070 –> 00:07:52.590 Alexander De Ridder: Hi Joseph and thank you for having me

00:07:52.950 –> 00:07:59.430 Joseph McElroy: Sure, so you live in Texas, now we were talking about your wonderful neighborhood earlier, but you are….

00:08:02.640 –> 00:08:02.970 Joseph McElroy: Correct.

00:08:04.140 –> 00:08:05.040 Alexander De Ridder: you’re actually from Belgium.

00:08:05.340 –> 00:08:06.960 Joseph McElroy: yeah so how did you end up in the USA.

00:08:08.040 –> 00:08:11.940 Alexander De Ridder: Well,  I was traveling met while my wife here so.

00:08:13.230 –> 00:08:16.920 Alexander De Ridder: I moved in 2006 here.

00:08:16.950 –> 00:08:21.540 Joseph McElroy: Really cool and when did you start learning to code.

00:08:23.370 –> 00:08:27.690 Alexander De Ridder: I got my first computer at age 13 and pretty much started right away.

00:08:28.950 –> 00:08:36.540 Alexander De Ridder: It was a 386 until the computer running Ms dos I didn’t have windows yet and.

00:08:38.160 –> 00:08:51.750 Alexander De Ridder: I was already manipulating DAS with bash scripts when windows came out, and I remember my friend, and I wanted to translate it to Dutch, and so we were hacking.

00:08:52.260 –> 00:09:05.430 Alexander De Ridder: Microsoft windows files, it was windows 3.1 or 11 shortly after that I picked up Pascal um and then.

00:09:06.180 –> 00:09:20.370 Alexander De Ridder: After that, the Internet became a thing I was around you know, maybe 16 when I started having access to the Internet and I got fascinated with the Web as a development platform started learning Perl CGI scripts.

00:09:22.230 –> 00:09:24.870 Alexander De Ridder: My computer started running Linux all of a sudden.

00:09:25.560 –> 00:09:33.780 Alexander De Ridder: And, and you know the rest is history went to school for computer science university of Kent and.

00:09:35.310 –> 00:09:44.940 Alexander De Ridder: I’ve been always fascinated by the how and why humans make decisions and the choices we make in life, and personally.

00:09:46.020 –> 00:09:52.800 Alexander De Ridder: And so I focused on the intersection of like human behavior and technology, this kind of.

00:09:53.970 –> 00:09:57.480 Alexander De Ridder: A focus area and then my playground, has been the Internet.

00:09:57.990 –> 00:10:08.760 Joseph McElroy: mm hmm so you know, I was looking at your history and you’ve got into SEO which is not exactly coding, so how did you get into a search engine optimization.

00:10:10.800 –> 00:10:11.880 Alexander De Ridder: Well i’m.

00:10:13.350 –> 00:10:21.540 Alexander De Ridder: Human behavior and algorithm behavior has a lot of similarities.

00:10:23.160 –> 00:10:24.510 Alexander De Ridder: So if you.

00:10:25.710 –> 00:10:27.150 Alexander De Ridder: If you publish some content.

00:10:28.770 –> 00:10:30.540 Alexander De Ridder: google’s gotta like your content.

00:10:32.970 –> 00:10:42.390 Alexander De Ridder: And much you know there’s this old movie called what women want If only we could like really understand that language.

00:10:44.790 –> 00:10:48.510 Alexander De Ridder: What about Google it’s like what is Google really wants and.

00:10:49.530 –> 00:10:58.890 Alexander De Ridder: An ultimate ultimately what Google wants is driven by humans by human psychology what humans want is what Google ends up wanting and

00:10:59.550 –> 00:11:08.100 Alexander De Ridder: You know they use something called rank brain right to learn from humans how they respond to different types of content.

00:11:08.820 –> 00:11:26.040 Alexander De Ridder: And then, Google will reward that content and so that’s how it kind of relates to my area of interest, and it did help that my first job out of university was for a company in Kent Belgium called MARQuIS at the time.

00:11:27.300 –> 00:11:30.690 Alexander De Ridder: One of the visionaries they’re calling the north.

00:11:32.040 –> 00:11:33.810 Alexander De Ridder: is still active today.

00:11:34.860 –> 00:11:37.680 Alexander De Ridder: I believe this company now it’s called the fat lady.

00:11:39.750 –> 00:11:49.080 Alexander De Ridder: definitely one of the content marketing luminaries of Belgium, I had, I had a chance to work at his company and.

00:11:50.100 –> 00:12:00.450 Alexander De Ridder: I was able to apply this Internet technology to their marketing campaigns now, these were omnichannel marketing campaigns and I just had a blast.

00:12:01.260 –> 00:12:12.900 Alexander De Ridder: I all but invented that knowing this existed or was about to exist, the email tracking pixel to see how campaigns for going I remember it was the time of.

00:12:14.130 –> 00:12:15.810 Alexander De Ridder: flash websites and.

00:12:16.890 –> 00:12:19.380 Alexander De Ridder: I refuse to code, an action script because.

00:12:19.440 –> 00:12:20.610 Alexander De Ridder: It was going to die.

00:12:20.670 –> 00:12:25.710 Alexander De Ridder: So my boss, let me, let me do the same thing in javascript.

00:12:27.000 –> 00:12:32.040 Alexander De Ridder: stubbornly took me five times as long back in the day we didn’t have all those fancy libraries.

00:12:33.180 –> 00:12:34.320 Alexander De Ridder: exists now.

00:12:35.580 –> 00:12:38.850 Alexander De Ridder: But yeah I mean, I had a blast I mean this was typical.

00:12:40.260 –> 00:12:49.380 Alexander De Ridder: kind of what became typical for like Silicon Valley ping pong table like lounge chairs brainstorming creativity and I just love that.

00:12:50.610 –> 00:12:51.120 Alexander De Ridder: yeah.

00:12:51.450 –> 00:12:58.500 Joseph McElroy: Well, you know I I know about that action script so you know, besides being a coder in SEO I was a.

00:13:00.240 –> 00:13:00.660 Joseph McElroy: hard.

00:13:02.040 –> 00:13:12.120 Joseph McElroy: All I did alone was network-based art back in the 90s and 2000s and a good percentage of it got done in a flash because that was like the hip thing to do, you know.

00:13:12.930 –> 00:13:21.720 Joseph McElroy: Art at the time and I knew when I did the action script and stuff like that I knew it was like Well, this is going to be a problem, but I also thought you know museums.

00:13:22.200 –> 00:13:34.020 Joseph McElroy: Where they were talking about at the time that they were going to do things to do to try to you know, maintain the Providence and you know upgrade and things like that man good stuff and I got things in museums that don’t work now.

00:13:34.500 –> 00:13:38.490 Joseph McElroy: And so now I’m sitting there going Okay, I will have to cover all that stuff for them.

00:13:39.540 –> 00:13:46.380 Joseph McElroy: it’s a real pain, but you know obsolescence is part of them, the problem with the whole Internet.

00:13:47.490 –> 00:13:50.340 Joseph McElroy: a thing so essentially you gotta do SEO is a hacker.

00:13:52.140 –> 00:13:54.330 Alexander De Ridder: I love figuring out how things work.

00:13:55.020 –> 00:13:59.850 Joseph McElroy: Alright cool well we’re gonna take a break now and come back and talk more about how you got in AI.



00:16:14.940 –> 00:16:28.440 Joseph McElroy: Hello, this is Joseph Franklyn McElroy back with the wise content creates wealth podcasts and my guest Alexander De Ridder, so Alex you, you were SEO and you co-founded SEO agency right.

00:16:29.430 –> 00:16:31.860 Alexander De Ridder: yeah around 2015.

00:16:33.150 –> 00:16:37.110 Joseph McElroy: yeah and was that a success.

00:16:38.010 –> 00:16:38.580 Alexander De Ridder: Oh yeah.

00:16:38.940 –> 00:16:39.420 Joseph McElroy: yeah.

00:16:39.510 –> 00:16:40.740 Alexander De Ridder: It still is today.

00:16:41.160 –> 00:16:42.180 Alexander De Ridder: It is part of it.

00:16:43.050 –> 00:16:56.850 Alexander De Ridder: I consult but as of November last year, the Ad agency, he laughs got acquired by compost ul an amazing group of.

00:16:57.330 –> 00:16:58.140 Joseph McElroy: I know compost.

00:16:58.770 –> 00:16:59.220 yeah.

00:17:00.810 –> 00:17:01.410 Joseph McElroy: we’re.

00:17:01.710 –> 00:17:07.620 Alexander De Ridder: Trying to bring SEO lead development to the world of digital transformation.

00:17:07.650 –> 00:17:11.520 Joseph McElroy: Think what you’re trying to get technology people doing brace SEO.

00:17:13.050 –> 00:17:13.830 Alexander De Ridder: They have to.

00:17:13.920 –> 00:17:14.250 They have.

00:17:16.440 –> 00:17:19.050 Joseph McElroy: yeah so one of the veins of our existence is.

00:17:19.410 –> 00:17:20.580 Alexander De Ridder: To stay relevant.

00:17:20.760 –> 00:17:21.690 yeah.

00:17:23.130 –> 00:17:24.090 it’s so.

00:17:25.980 –> 00:17:29.610 Joseph McElroy: But your tech guy so you know that you know we know both sides of the equation.

00:17:31.170 –> 00:17:32.790 Joseph McElroy: So, how did you get the AI coding.

00:17:33.600 –> 00:17:39.780 Alexander De Ridder: Alright, so um when I came to the United States briefly worked for.

00:17:41.070 –> 00:17:45.990 Alexander De Ridder: A briefly worked for a financial company and then 2008 happened.

00:17:46.740 –> 00:17:48.780 Alexander De Ridder: You know what happens to financial companies.

00:17:50.310 –> 00:17:59.760 Alexander De Ridder: And then, shortly after I started, I was an independent contractor who started working for myself consulting and I had the opportunity to work for.

00:18:00.900 –> 00:18:03.060 Alexander De Ridder: a wonderful person Moses.

00:18:04.110 –> 00:18:04.530 Alexander De Ridder: At.

00:18:06.090 –> 00:18:16.080 Alexander De Ridder: A company that was building interactive kiosks for retail stores airports things like that and

00:18:17.490 –> 00:18:35.490 Alexander De Ridder: And you know, we had the idea to kind of apply the principles of SEO and cookies and and and analytics to cameras in and display advertising so let’s say you walk in the mall and you would look at an ad.

00:18:36.780 –> 00:18:47.940 Alexander De Ridder: But you know, maybe it is an advertising and perfume for women or women shoe when you’re a man, and so we figured we can make analytics.

00:18:48.870 –> 00:19:06.540 Alexander De Ridder: We can make analytics from camera and analysis and make this advertorial content more relevant the same way, you would target people online with would like more information and target your ads better that didn’t really exist in the physical world so to do that.

00:19:07.890 –> 00:19:19.530 Alexander De Ridder: You know, we had to solve that with machine learning now in 2009 2010 that this field was not established like it is today.

00:19:20.580 –> 00:19:31.500 Alexander De Ridder: neural networks were not a thing hardware acceleration was not a thing AWS  did not just have a whole bunch of servers for machine learning, you have to do, local on bare metal.

00:19:33.060 –> 00:19:41.640 Alexander De Ridder: And that’s kind of the origin, the origin stories of how I got involved in machine learning so it’s been more than 10 years.

00:19:42.900 –> 00:19:47.820 Alexander De Ridder: And you know I would I wouldn’t say the inception, but I would say that.

00:19:48.960 –> 00:19:53.520 Alexander De Ridder: Not not since the inception of ml because it predates even my birthday.

00:19:53.880 –> 00:19:55.020 Alexander De Ridder: But, sir.

00:19:55.230 –> 00:20:04.800 Alexander De Ridder: Certainly, I certainly was active in machine learning before it started changing everything in our lives.

00:20:05.280 –> 00:20:15.060 Joseph McElroy: Right yeah I have, I did that Ai is in fact back in the 80s and you know machine language learning was really far off, then, and we were doing things like.

00:20:15.300 –> 00:20:29.790 Joseph McElroy: alpha better searches, we were trying to create you know you know things that rate the algorithm to rate, the success of outcomes and it was all about being that having the best algorithms for figuring out what the success of outcomes and then go down all the iterations yeah.

00:20:29.820 –> 00:20:34.530 Joseph McElroy: it’s like a machine language is just taking you to know, taking that all away.

00:20:35.880 –> 00:20:40.050 Joseph McElroy: So I mean I mentioned in.

00:20:41.460 –> 00:20:48.330 Joseph McElroy: November you basically sold your company and you’ve created something called the Ink right.

00:20:48.840 –> 00:20:58.200 Joseph McElroy: Right and how to do it was that something that idea that you had a law or did you or was it just the stimulus of making a transition because it did you create it.

00:20:59.250 –> 00:20:59.790 Alexander De Ridder: So.

00:21:00.930 –> 00:21:03.900 Alexander De Ridder: The inception and the idea predates edgy.

00:21:05.550 –> 00:21:14.460 Alexander De Ridder: And it kind of stemmed from my experience in machine learning around the year 2012.

00:21:15.780 –> 00:21:25.620 Alexander De Ridder: When Facebook said hey we can know the detect catch and pictures and they showed the world how we know the world was going to end right.

00:21:26.280 –> 00:21:28.170 Alexander De Ridder: that’s in the Internet.

00:21:28.560 –> 00:21:46.620 Alexander De Ridder: um so that the reason why is that the approach for machine learning Ai the paradigm just completely shifted all of a sudden, you started having hardware like coup de-acceleration and neural networks changed how you made stuff.

00:21:47.640 –> 00:22:05.670 Alexander De Ridder: And at that time you know, having a marketing experience and background I couldn’t help myself but think like this is going to change Google search google’s going to adapt and start using this for everything, and you may remember the time with Google-like just.

00:22:07.410 –> 00:22:10.560 Alexander De Ridder: ranking sites purely on backlinks and.

00:22:11.970 –> 00:22:14.790 Joseph McElroy: watching keywords and content stuffing yeah.

00:22:14.940 –> 00:22:26.940 Alexander De Ridder: exactly right so um you know that what was the next frontier for Google well you know, increase the quality of content, make sure that the content that was served was actually relevant to the searcher.

00:22:28.350 –> 00:22:39.030 Alexander De Ridder: You know it used to be that you have to be like really, really good to search Google, you have to know exactly what to type in to find the page, you were looking for, but nowadays, you can type in.

00:22:39.510 –> 00:22:48.900 Alexander De Ridder: Like something related in Google almost like reads your mind oh yeah I know that that’s what you’re looking for I know it is that time of day and you’re hungry that’s what you really want it right.

00:22:49.110 –> 00:22:50.370 Alexander De Ridder: Right so.

00:22:51.090 –> 00:22:52.170 Joseph McElroy: So you’re looking for delivery.

00:22:52.440 –> 00:22:55.860 Alexander De Ridder: yeah so we had this idea that.

00:22:57.090 –> 00:23:10.830 Alexander De Ridder: This innovation this shift in the industry and technology would completely change search forever and my partner  Garry and Michael we had this casual conversation.

00:23:12.750 –> 00:23:13.200 Alexander De Ridder: and

00:23:14.280 –> 00:23:22.590 Alexander De Ridder: Michael basically met the CEO he said basically to me Okay, you have a great idea prove it.

00:23:24.330 –> 00:23:29.700 Alexander De Ridder: that’s how he operates right so so I proved it all right.

00:23:30.870 –> 00:23:41.730 Alexander De Ridder: Now, at first, this was a manual method, and then the manual method turned into a service agency that was it wasn’t is a very profitable amazing company.

00:23:43.800 –> 00:23:46.620 Alexander De Ridder: And they’re always hiring a hurt so.

00:23:48.480 –> 00:24:06.570 Alexander De Ridder: In and yeah if you want to be among the best at SEO but then Ink basically became the Ai automated component to the way that this theory this rank Canada theory became incorporated into a product.

00:24:07.920 –> 00:24:10.800 Alexander De Ridder: the funny story is as well when we started edgy..

00:24:12.240 –> 00:24:21.570 Alexander De Ridder: Like before we started edgy we were we already had decided like we want to partner, together we fit really well together we complement each other, we.

00:24:22.260 –> 00:24:32.580 Alexander De Ridder: We share each other’s values we’re going to do great things, but then the question for a while, was what kind of company, are we going to start, and I remember saying to Michael.

00:24:33.600 –> 00:24:40.560 Alexander De Ridder: You know I’m down for anything I prefer to go product, but I do not want to start an SEO agency.

00:24:43.650 –> 00:24:55.860 Alexander De Ridder: And he’s like well why you’re so good at SEO and I said well you know you know I I kind of am but I said that people that really know SEO don’t talk about it, they do it for themselves.

00:24:55.980 –> 00:24:59.490 Joseph McElroy: Right you build your own companies, which is what I’m doing now.

00:25:00.810 –> 00:25:07.590 Alexander De Ridder: And it just so happened that Gary or another partner had a phenomenal phenomenal network.

00:25:09.600 –> 00:25:20.310 Alexander De Ridder: In in the kind of the fortune 100 space and they were able to bring us some like real amazing contracts that unbelievable companies and.

00:25:21.000 –> 00:25:40.020 Alexander De Ridder: We were able to, we were able to really learn firsthand what it looked like to solve these SEO content problems at the end paid off an enterprise scale, and I believe that these earned insights have allowed us to build something incredible at ink.

00:25:41.010 –> 00:25:50.280 Joseph McElroy: Right so Ink is what is the what you know for somebody that’s wonder understand what it is, what is the problem with solving right now.

00:25:50.910 –> 00:25:51.390 yeah.

00:25:53.010 –> 00:25:53.490 Alexander De Ridder: well.

00:25:55.500 –> 00:25:56.970 Alexander De Ridder: The main problem.

00:25:58.410 –> 00:26:05.820 Alexander De Ridder: That we saw to solve, was that content creator are not SEOs and SEOs are not often good writers.

00:26:05.910 –> 00:26:15.060 Alexander De Ridder: Right and so when you need to scale your content marketing, you need to rely on your writers to produce content that is not just.

00:26:15.390 –> 00:26:28.980 Alexander De Ridder: You know, true to your brand tone and voice and so forth, but also will please you know the Google black box or you’re an Amazon product description guy to Amazon black box and so forth.

00:26:30.630 –> 00:26:39.270 Alexander De Ridder: And so, your writers did not have any kind of like real-time feedback to know how well their content was doing should I keep writing that I write enough.

00:26:39.810 –> 00:26:48.180 Alexander De Ridder: Is Google going to like this is not going to like this ink solves that problem completely and forever and then.

00:26:48.300 –> 00:26:54.840 Alexander De Ridder: As yeah and as we then implemented scoring and feedback people started asking as well.

00:26:56.100 –> 00:27:04.410 Alexander De Ridder: I like the scoring and all but it’s taking me a while to optimize my article and I need to spend more time than it used to I don’t really like this.

00:27:04.950 –> 00:27:13.770 Alexander De Ridder: And we’re like Okay, we really listened to that, and then we started incorporating natural language generation, which is Ai that can help you write

00:27:15.150 –> 00:27:32.910 Alexander De Ridder: into the product, but then we went a step further than we started combining or unique insights that we have gained from the competitive analysis we started infusing that with natural language generation to create an entirely new movement called natural language optimization.

00:27:34.050 –> 00:27:42.030 Alexander De Ridder: Right, so we believe that the future of content marketing is is the performing web it’s content that performs.

00:27:42.390 –> 00:27:46.290 Alexander De Ridder: Well, it means that inkforall.com needs to get found it needs to engage and convert.

00:27:47.070 –> 00:27:47.910 Joseph McElroy: Wise content.

00:27:49.770 –> 00:27:50.520 Joseph McElroy: Exactly.

00:27:51.660 –> 00:27:59.970 Joseph McElroy: Listen, we got to take a break, but I just want to come back and we’ll talk more about how you build a building pad into this and.


00:30:06.660 –> 00:30:14.400 Joseph McElroy: Hello, this is Joseph Franklyn McElroy back with the wise content creates wealth podcast, and my guest Alexander De Ridder so Alex,

00:30:14.820 –> 00:30:28.770 Joseph McElroy: so you know it looks site and you got a bunch of tools in there right and but you also have a download of an editor looks like right I’m gonna give it a shot I’ve had a chance to get I was up watching the Duke game until all hours last night.

00:30:30.420 –> 00:30:30.750 Joseph McElroy: But.

00:30:31.980 –> 00:30:42.150 Joseph McElroy: What would you recommend somebody to go to start using all those tools, I mean you had an amazing number there or just the editor does incorporate those tools.

00:30:42.870 –> 00:30:47.160 Alexander De Ridder: yeah so um I want you to think of

00:30:48.450 –> 00:30:53.130 Alexander De Ridder:  inkforall.com kind of like Canva, but for content.

00:30:53.730 –> 00:31:03.270 Alexander De Ridder: Okay, so you know you can create all kinds of content with Ink, and so the answer on what to start with kind of depends on what your goal is.

00:31:04.680 –> 00:31:17.370 Alexander De Ridder: The editor, the editor to download, the editor for Windows MAC and Linux is our kind of original product it’s the almost full-featured product it literally contains everything we have to offer.

00:31:18.210 –> 00:31:23.370 Alexander De Ridder: But uniquely it is focused on creating long-form content.

00:31:24.120 –> 00:31:33.510 Alexander De Ridder: That will also perform well online, whether it be getting found in Google or your product descriptions and Amazon or whatnot, whether it be.

00:31:33.930 –> 00:31:49.290 Alexander De Ridder: optimizing your headlines for more clicks with emotional intelligence, or whether it is to be more persuasive and get more conversions so the editor download is really the gold standard of what we have to offer, and then we have.

00:31:50.430 –> 00:32:07.950 Alexander De Ridder: All these web tools that let you generate with Ai anything you can imagine, from social media content email to brainstorm domains and business ideas to copywriting formulas figuring out your benefits from your features to

00:32:09.030 –> 00:32:21.840 Alexander De Ridder: Content outlines this really like too many to mention and the next few months we’re going to be, I believe, a little bird told me that we might be doubling our tools in the next few months, so.

00:32:22.980 –> 00:32:24.690 Joseph McElroy: hundred of them there that’s gonna be.

00:32:25.950 –> 00:32:32.400 Alexander De Ridder: yeah it’s content for everybody anytime anywhere, and you can access that on our site.

00:32:33.720 –> 00:32:41.910 Alexander De Ridder: With just a few clicks you can get going we just launched our chrome extension and our chrome extension is more like a.

00:32:43.260 –> 00:32:54.330 Alexander De Ridder: it’s more like Grammarly works it’s more about removing any insecurity, you may have when you’re trying to figure out how to express yourself.

00:32:54.780 –> 00:33:02.760 Alexander De Ridder: Right, so what it does, is it will rewrite texts for you and then do, and doing so all you have to do is just select some texts you wanted to rewrite.

00:33:03.060 –> 00:33:16.590 Alexander De Ridder: And Ink will like pop up with like 10 race to rephrase it and in the process, it will fix spelling grammar style, it will compose it in different ways, so great plagiarism buster students, teachers don’t pay attention right now.

00:33:16.650 –> 00:33:17.040 yeah right.

00:33:18.930 –> 00:33:20.340 Alexander De Ridder: away it’s an amazing.

00:33:20.340 –> 00:33:27.840 Alexander De Ridder: extension, and you know it’s kind of the boot loader or the start menu, if you will, for everything else think has to offer.

00:33:29.070 –> 00:33:36.300 Alexander De Ridder: Where we have built first this downloadable writing software which is amazing.

00:33:37.080 –> 00:33:47.850 Alexander De Ridder: But we did listen to our users and we understand there’s some friction with downloading software, I think the downloadable software is always going to be the highest quality purest experience of ink.

00:33:48.810 –> 00:34:02.160 Alexander De Ridder: But we did listen carefully so your timing, when you visit our site your what kind of watching a company in transition, as we’re lifting a lot of our capabilities and AI’s into becoming API enabled.

00:34:02.700 –> 00:34:15.960 Alexander De Ridder: web-enabled and kind of being where people are already are writing so we are we have great technology, but we want to make it even more accessible, so we can be everywhere, you right and kind of haven’t right at your fingertips.

00:34:16.350 –> 00:34:20.400 Joseph McElroy: Great well that makes a lot of sense mean, for example, yeah like me I’m you know I have.

00:34:21.000 –> 00:34:27.660 Joseph McElroy: I travel and I don’t even like to carry a computer you know because it’s you know heavy and things like that, even if the smallest one.

00:34:28.560 –> 00:34:36.090 Joseph McElroy: So I have computers everywhere, I go to be you know, for most of the time, so if I go there, I like to have everything be web-based you know it’s like.

00:34:36.540 –> 00:34:46.200 Joseph McElroy: So I can, and I think there’s a lot of people that like that, but I can you know I can understand also having that sort of pure experience and where you control the environment.

00:34:46.200 –> 00:34:56.190 Joseph McElroy: 100% so you have you built on patented this an AI semantic engine right, what is it, how did you do that, what did you do.

00:34:57.120 –> 00:35:00.540 Alexander De Ridder: Well, it may have involved calling a patent attorney.

00:35:03.480 –> 00:35:08.160 Joseph McElroy: But I mean you had to create something you mean you use GPT three right.

00:35:08.550 –> 00:35:24.660 Alexander De Ridder: Well, no, our original patent has nothing to do with GPT three right yeah it actually predates GPT three so what we’re using is okay, can we go technical for this audience, or should I tried yours.

00:35:24.660 –> 00:35:25.920 Joseph McElroy: weekend, you know I mean.

00:35:26.130 –> 00:35:29.220 Joseph McElroy: We don’t want to go like 10 minutes of technical will go couple minutes to take.

00:35:29.520 –> 00:35:30.690 Joseph McElroy: yeah all right.

00:35:31.440 –> 00:35:33.330 Alexander De Ridder: I’ll try to do a hybrid.

00:35:34.710 –> 00:35:53.070 Alexander De Ridder: So what we’re doing is we’re creating a semantic embedding, which is a vector that we can then compare to other vectors and so semantic embedding basically in quotes in data format, the meaning of texts, so it maps words the concept words and sentences, the concepts, they represent.

00:35:53.430 –> 00:35:55.200 Alexander De Ridder: Whether it has an attention mechanism to.

00:35:55.200 –> 00:36:04.380 Alexander De Ridder: figure out when you like skin and the entire article which concepts require more attention so it has an attention mechanism to say, these are the most important concepts.

00:36:04.830 –> 00:36:14.460 Alexander De Ridder: after you have such a vector it’s basically a representation of what the article is all about what comes in there and what now what you can do is you can.

00:36:15.360 –> 00:36:22.320 Alexander De Ridder: You can look at the top results in Google and basically for each top result you can say what’s this all about you have such a vector.

00:36:22.890 –> 00:36:35.400 Alexander De Ridder: And what you then can do is you can feed all of these what we call like fingerprints or semantic embedding so you can feed all of those in a second artificial intelligence that then basically finds the patterns.

00:36:35.940 –> 00:36:38.850 Alexander De Ridder: And so you can basically say well.

00:36:39.120 –> 00:36:45.870 Alexander De Ridder: You know the high-ranking content from the first page of Google has these semantic concepts in common.

00:36:46.110 –> 00:36:59.700 Alexander De Ridder: These ideas are common, whereas the ones that don’t reach page one are missing these ideas and so that then creates a new kind of AI model that represents what Google is looking for right.

00:36:59.760 –> 00:37:01.680 Joseph McElroy: And you’re essentially just.

00:37:02.430 –> 00:37:06.450 Joseph McElroy: You reproduce the rank brain in a sentence right.

00:37:06.960 –> 00:37:11.850 Alexander De Ridder: Well, you know our lawyer did say I can’t confirm or deny that but.

00:37:15.360 –> 00:37:16.500 Joseph McElroy: Oh, I could guess.

00:37:18.660 –> 00:37:24.480 Alexander De Ridder: So, but the benefit is now, and this is really cool stuff so as you’re writing it in real-time.

00:37:25.050 –> 00:37:32.370 Alexander De Ridder: The same Ai is producing an embedding about your article basically figuring out what has Joseph already written.

00:37:32.820 –> 00:37:47.190 Alexander De Ridder: Written so far, and then it compares it to what google’s looking for, and then with some simple subtraction we can find out what’s missing and that’s how the ink score , so the ink score takes a look at how relevant your article is.

00:37:48.600 –> 00:37:58.410 Alexander De Ridder: And and and how likely Google will be satisfied with its informational quality, so it is not it’s very important to note this because of our competitors.

00:37:58.950 –> 00:38:10.770 Alexander De Ridder: Are kind of still using the training wheels off this approach they’re counting how many times you use a certain word and it can encourage you, the keyword stuff whereas inks Ai patented.

00:38:11.940 –> 00:38:17.550 Alexander De Ridder: is using a semantic approach so it really works, the way that Google works is looking at the.

00:38:19.020 –> 00:38:19.680 Alexander De Ridder: information.

00:38:20.130 –> 00:38:37.770 Alexander De Ridder: And then, what we did is then we looked at all of the other factors that go into making texts engaging the length the styles passive voice use everything from spelling and grammar and then what we learned, then what we did, is a large study to figure out.

00:38:39.030 –> 00:38:46.350 Alexander De Ridder: To what extent each individual element plays a role in predicting a possible first page of Google results.

00:38:47.160 –> 00:39:01.470 Alexander De Ridder: And so, when when we mapped it all out, we saw that wow we are now able, by just blindly, not knowing what site it’s on how many backlinks it has or anything we just look at the content.

00:39:01.860 –> 00:39:04.140 Alexander De Ridder: We are able to predict the.

00:39:05.160 –> 00:39:13.410 Alexander De Ridder: If a piece of content would be on the first page of Google 450% more likely even scores over a 90%.

00:39:14.010 –> 00:39:24.930 Joseph McElroy: Interesting so you could actually just you’re saying you create content fresh from a fresh site and you actually have a good chance of ranking it, you know the site might have no links and.

00:39:25.080 –> 00:39:26.730 Joseph McElroy: Exactly interesting.

00:39:26.790 –> 00:39:27.900 Alexander De Ridder: that’s and we did that.

00:39:27.930 –> 00:39:30.240 Alexander De Ridder: And we proved that too and case studies.

00:39:30.510 –> 00:39:30.990 Alexander De Ridder: We have.

00:39:31.230 –> 00:39:36.660 Alexander De Ridder: We have a case study where somebody just wrote 60 pieces of content on a brand new site.

00:39:37.110 –> 00:39:40.200 Alexander De Ridder: And within five months pulled in 200,000 visitors.

00:39:40.770 –> 00:39:42.630 Joseph McElroy: So for the marketers out there listening.

00:39:43.170 –> 00:40:02.160 Joseph McElroy: This is important, right now, this is what this is where things are going to content itself will be the ranking fact that the content itself will be what will get you noticed there’s not gonna be a lot of tricks and things like that it’s going to be the nature of the content right.

00:40:02.730 –> 00:40:03.780 Alexander De Ridder: yeah future.

00:40:03.840 –> 00:40:09.630 Alexander De Ridder: The future of search is summed up in two words right it’s trust and engagement.

00:40:09.900 –> 00:40:14.040 Alexander De Ridder: yeah, and so the quality of your content can build both.

00:40:14.400 –> 00:40:15.780 Joseph McElroy: yeah so.

00:40:17.340 –> 00:40:31.200 Joseph McElroy: And are you at the point now where you know when writers talk about writing content right and we have this all the time, you know, we had we’ve had to do lots of content, at one point we were doing 4000 pieces of content on one for one company.

00:40:32.550 –> 00:40:38.580 Joseph McElroy: We had to do what we had you had to do it in different voices are you able to do different voices.

00:40:39.420 –> 00:40:47.370 Alexander De Ridder: yeah so one thing we learned by working with enterprise clients, is that they really care about their brand tone and voice.

00:40:47.580 –> 00:40:50.820 Alexander De Ridder: yeah and you know the creative agencies.

00:40:51.900 –> 00:40:57.840 Alexander De Ridder: Will oftentimes if you try to write for them they’re going to like say this is horrible.

00:40:58.260 –> 00:40:59.850 Alexander De Ridder: This will work to get published right.

00:41:00.210 –> 00:41:00.600 Joseph McElroy: So.

00:41:00.930 –> 00:41:07.770 Alexander De Ridder: We understand that different writers in different companies have different needs for content, so this is why.

00:41:09.480 –> 00:41:22.170 Alexander De Ridder: We didn’t create like a tool, where you plug in your keyword and hit a button in Ai write something that’s not how ink works ink is kind of a human-machine interface collaboration, think of it like a bicycle.

00:41:22.800 –> 00:41:35.130 Alexander De Ridder: yeah I saw this video The other day I thought it was hilarious until I’ll tell you until when, but it was basically an ostrich chasing cyclists.

00:41:35.760 –> 00:41:43.050 Alexander De Ridder: And I thought it was hilarious because the human being can never outrun an ostrich unless it has a bicycle to help him.

00:41:43.410 –> 00:41:49.500 Alexander De Ridder: And so that’s how you got to think about ink and I thought the video was hilarious until I realized that somebody.

00:41:49.800 –> 00:41:59.820 Alexander De Ridder: ought to be filming that ostrich from the back for me to enjoy that video, and perhaps the ostrich wasn’t chasing the cyclist and the first place that was running away from the car behind it.

00:41:59.910 –> 00:42:00.570 Ah.

00:42:02.700 –> 00:42:03.750 Joseph McElroy: You made your own joke.

00:42:06.660 –> 00:42:06.960 Joseph McElroy: yeah.

00:42:07.590 –> 00:42:09.210 Joseph McElroy: that’s how your mind works all right.

00:42:10.500 –> 00:42:10.890 Alexander De Ridder: yeah.

00:42:11.490 –> 00:42:12.330 Joseph McElroy: that’s pretty good.

00:42:13.590 –> 00:42:14.250 Joseph McElroy: So.

00:42:15.480 –> 00:42:18.810 Joseph McElroy: So where do you think this is going what’s the future for you.

00:42:19.800 –> 00:42:25.140 Alexander De Ridder: Oh, calling so where we’re at a special moment in time.

00:42:26.460 –> 00:42:27.090 Alexander De Ridder: and

00:42:28.770 –> 00:42:32.340 Alexander De Ridder: The technologies GPT three and so forthright.

00:42:34.080 –> 00:42:45.870 Alexander De Ridder: which we have adopted and made our own and elevated with natural language optimization right that’s kind of natural the quality of content is what comes after the Ai generation of content.

00:42:46.320 –> 00:42:52.500 Alexander De Ridder: So, Ai can generate and write like a like you said, like a Ukrainian 13-year-old or something.

00:42:53.370 –> 00:43:07.260 Alexander De Ridder: But um the way we see it, is that opening is a model is like high school students that can write, but then you have to go to university and you have to learn journalism and you have to learn marketing.

00:43:07.290 –> 00:43:08.520 Joseph McElroy: And you have to learn how to adapt your

00:43:09.000 –> 00:43:18.870 Alexander De Ridder: writing and that is what Ink what we are going to be so after all the hype will die down of open AI all of these companies that do AI writing.

00:43:19.500 –> 00:43:24.600 Alexander De Ridder: Then people are going to look around say like oh, but actually I want to, I want to differentiate.

00:43:24.960 –> 00:43:35.160 Alexander De Ridder: Because we’re all Ai generated content spamming The Internet is filling the Internet and Google is going to be like oh yeah I don’t want to rank all that Ai generated content I want to rank the best quality content.

00:43:35.250 –> 00:43:38.130 Joseph McElroy: Exactly that’s what I said last I said recently, is that.

00:43:38.160 –> 00:43:48.240 Joseph McElroy: You know, at some point, their business model be screwed if you can just make Ai generated content and then that gets right so it’s gonna be there’s gonna be a lot more intelligent go into it.

00:43:48.510 –> 00:43:58.440 Joseph McElroy: So that we have to take a quick break and then we’ll come back and finish up with some you know things about what your company is going and where it’s going, and you know any kind of shout out to you, I have all right.

00:43:58.650 –> 00:43:59.160 Alexander De Ridder: All right.


00:45:59.220 –> 00:46:13.770 Joseph McElroy: Hi, this is Joseph Franklyn McElroy back with a wise content creates wealth podcasts and my guest Alexander De Ridder so Alexander you know, one of the things you mentioned that I just wanted to touch on it because it was interesting to be what you have.

00:46:14.790 –> 00:46:19.770 Joseph McElroy: You have emotional intelligence features in your editor what is that.

00:46:20.730 –> 00:46:22.380 Alexander De Ridder: Oh, I love this question.

00:46:23.580 –> 00:46:26.700 Alexander De Ridder: First of all, you have never seen anything like it.

00:46:27.900 –> 00:46:29.490 Joseph McElroy: i’ve never heard anybody mention it.

00:46:29.940 –> 00:46:30.210 Now.

00:46:31.290 –> 00:46:34.470 Alexander De Ridder: This is cutting edge, so your audience learns about it.

00:46:35.040 –> 00:46:36.300 Alexander De Ridder: I love it so.

00:46:37.710 –> 00:46:46.170 Alexander De Ridder: There was a time not too long ago where people would have compiled these lists and they call them power words.

00:46:46.590 –> 00:47:01.920 Alexander De Ridder: And they said include power words like amazing exciting best free and include these words in all caps and we are all your headlines and all your emails and your subject like using them everywhere, the increased click-through rate okay it worked.

00:47:02.550 –> 00:47:04.860 Alexander De Ridder: And then the public got desensitized.

00:47:05.250 –> 00:47:18.030 Alexander De Ridder: Right and now the opposite is true, I think backlink oh that acquired by SEM rush recently been backlink with did a study and they showed power words actually reduce your engagement and click-through rate now it’s like.

00:47:18.060 –> 00:47:25.560 Alexander De Ridder: Okay well alright, the method is dead, but the principle is not it was just not evolved enough see.

00:47:26.700 –> 00:47:36.960 Alexander De Ridder: people’s emotions evolve, but we are still human beings, and we still have a limbic brain and more than 90% of the decisions that we make are made.

00:47:37.410 –> 00:47:52.230 Alexander De Ridder: With our limbic brain or emotional brain and so, and so it is very important to realize that humans as human as a machine is extremely optimized to conserve energy.

00:47:52.740 –> 00:48:05.100 Alexander De Ridder: And the cortex takes away more energy and burns way more calories than the limbic brain, so we cannot afford to make 100% of our decisions as rational frontal cortex people.

00:48:05.310 –> 00:48:14.280 Alexander De Ridder: We have to run basic decisions through our limbic brain, many of them, as many of them as possible, and the way we do that is by just activating or.

00:48:14.700 –> 00:48:23.370 Alexander De Ridder: emotional brain to make quick on the spot instinctive decisions about what we’re going to click on what we’re going to do so with that insight.

00:48:24.030 –> 00:48:40.830 Alexander De Ridder: We figured out patented again that we could go and analyze the top ads the top engaging content on social platforms, the top-ranking content online, we could read it, and we couldn’t we can then reverse engineer the exact emotions, these are.

00:48:41.370 –> 00:48:41.850 Joseph McElroy: feelings.

00:48:42.750 –> 00:48:54.000 Alexander De Ridder: To tell you how to optimize your headline for the right emotions, so that you are going to get massive clicks to rate and the bad thing about this, is it does not get old because people do involve.

00:48:54.120 –> 00:48:57.330 Joseph McElroy: You just they just can’t deal with every day that’s right.

00:48:57.390 –> 00:49:01.950 Alexander De Ridder: This method will never get outdated because I think is always real-time and up to date.

00:49:02.490 –> 00:49:12.000 Joseph McElroy: We know, one of the things I do is I’m a travel, mostly in that I’ve been doing research and what’s called memorable tourism experiences, because you know that’s one of the.

00:49:12.840 –> 00:49:21.360 Joseph McElroy: a couple of things it’s the best it’s better than even satisfaction roofer revisit attention creates great brand loyalty for people have a memorable.

00:49:21.660 –> 00:49:28.830 Joseph McElroy: Tourism experience but what’s a critical part of that is anticipation, which is where marketing can come in right So if you can trigger them.

00:49:29.160 –> 00:49:37.680 Joseph McElroy: to anticipate the experience by getting it actually triggers them to click on the link when the headline so working with how you craft that kind of.

00:49:38.370 –> 00:49:49.650 Joseph McElroy: headlines that that will trigger that the anticipation of a memorable experience is critical for travel right, so I love that concept that you’re working with I think it’s a great idea.

00:49:51.540 –> 00:49:53.280 Joseph McElroy: And I’m on investigate that.

00:49:53.580 –> 00:49:55.200 Alexander De Ridder: Yes, part of the editor.

00:49:55.290 –> 00:50:05.160 Alexander De Ridder: Down the editor and when you enter your keyword look it up it’s under the headline optimization it will score in your headline and how emotionally relevant it is so you can boost your picture rates.

00:50:05.550 –> 00:50:12.270 Alexander De Ridder: And savvy listeners who do paid marketing might use it to boost their paid campaigns to here

00:50:12.270 –> 00:50:20.010 Joseph McElroy: Paid campaigns, it could make it sounds like it could be useful, so you’re not just text you’re a little bit in images and voice see right.

00:50:21.270 –> 00:50:29.280 Alexander De Ridder: Well we’re mostly focused on tax right now um but I will say that the future of searches is multimodal Ai.

00:50:29.970 –> 00:50:37.050 Alexander De Ridder: And so we do have a substantial amount of research in the background, for you know yet undisclosed patterns for the future.

00:50:37.890 –> 00:50:48.030 Alexander De Ridder: Where where where audiovisual texts all kind of come together in a search experience Google recently did a demonstration of where.

00:50:48.840 –> 00:51:05.400 Alexander De Ridder: Where it could combine kind of your geographic location, with a picture from your camera and a voice search prompt within interpreted, all together, jointly to come up with the right answer, whereas if you just had one or two pieces, you would have not had the perfect search response.

00:51:05.820 –> 00:51:14.580 Joseph McElroy: Right well fabulous is that I guess, I was confused because I saw somewhere, you said you had a and squares feature that imported images and.

00:51:14.640 –> 00:51:16.020 Alexander De Ridder: We do have that yeah.

00:51:16.290 –> 00:51:26.610 Alexander De Ridder: it’s not Ai but it’s a huge time saver because when you’re writing content, you can quickly find it a relevant image and with one click it will optimize it for.

00:51:27.180 –> 00:51:38.610 Alexander De Ridder: What compression and resize it and it will add alt text for you, and it will automatically credit, the author of the picture, so that you can use it without worrying about copyright.

00:51:39.090 –> 00:51:54.420 Alexander De Ridder: concerns and it’s a great time saver it’s part of the ink editor not quite multimodal AI for search, but it does help you optimize your images for search and quickly add visuals to your article.

00:51:55.410 –> 00:51:57.450 Joseph McElroy: So what’s the future for ink the company.

00:51:58.530 –> 00:52:03.060 Alexander De Ridder: Oh well, we are going to dominate the content marketing industry.

00:52:03.420 –> 00:52:04.920 Alexander De Ridder: And we’re going to do that.

00:52:04.950 –> 00:52:14.790 Alexander De Ridder: When the world catches up to the fact that NLG National language generation can do more damage than good, they need to first start focusing on quality.

00:52:15.270 –> 00:52:31.140 Alexander De Ridder: And then companies are going to discover that there’s this company all along, has been building for the future, and when we do we’re going to be the next adobe size content company and we are going to help content.

00:52:32.370 –> 00:52:41.400 Alexander De Ridder: Help creators create content with purpose, so that content gets found engages, and converts and we’re going to lead the natural language optimization movement.

00:52:42.840 –> 00:52:46.500 Joseph McElroy: Will sounds like an ambitious goal is always nice to have those kinds of goals.

00:52:47.040 –> 00:52:49.290 Joseph McElroy: yeah So how can.

00:52:50.430 –> 00:52:55.500 Joseph McElroy: people find out more about you by following you or you know find out more about your company.

00:52:55.920 –> 00:53:03.600 Alexander De Ridder: yeah well I’m on LinkedIn you can just find me Alexander De Ridder on LinkedIn my company Inkforall.com

00:53:04.350 –> 00:53:21.840 Alexander De Ridder: The software it’s all free to use there are free tiers for everything we offer and then for those who want to dabble with paid bait usage, you can get a free trial so everything is just open for everybody to test out without commitment it’s just very open.

00:53:23.190 –> 00:53:34.650 Alexander De Ridder: You can contact us as well over chat, email, we have a help desk we have Facebook Community just go and find us Ink official Community on Facebook.

00:53:35.310 –> 00:53:41.580 Alexander De Ridder: We post a lot of the little secrets of what’s coming next first over there, so don’t miss out.

00:53:42.270 –> 00:53:58.380 Alexander De Ridder: don’t be a stranger if you’re hearing this and you’re thinking about using content to elevate your brand or you’re struggling with optimizing content when your writer team Ink is definitely the way to go, check out our chrome extension for sure it is just such a must-have.

00:53:59.670 –> 00:54:07.260 Alexander De Ridder: Even if you’re subscribing to Grammarly Ink makes Grammarly better Grammarly can tell you what’s plagiarized ink can just fix it with one click.

00:54:09.180 –> 00:54:17.070 Joseph McElroy: There you go well, I thank you for being on the show today has been very informative and I look forward to seeing what it does in the future.

00:54:17.730 –> 00:54:28.170 Joseph McElroy: And I look forward to taking advantage of it, this is you know my company is Galileo tech media and we have lots of writers that are I call cyborgs that were.

00:54:29.070 –> 00:54:38.550 Joseph McElroy: trained on various kinds of Ai tools right we’re always looking for to increase our cyber army and their abilities by the tools that.

00:54:39.210 –> 00:54:45.660 Joseph McElroy: They can use it because it is no matter what yeah there’s a learning curve and learning these tools and sometimes companies don’t need to.

00:54:46.080 –> 00:55:00.150 Joseph McElroy: You know, have to have people learn to do it, they can allow teams to do that for them and that’s what we do when you do that on a scale as I said before, we’ve done, you know thousands and thousands of pieces of content on a monthly basis.

00:55:01.470 –> 00:55:11.190 Joseph McElroy: This podcast you can find out more about at wisecontentcreateswealth.com it’s also streamed live on Facebook.com/wisecontentcreateswealth

00:55:12.660 –> 00:55:25.620 Joseph McElroy: And when is it is aired on the talkradio.NYC network, which is a network of live podcasts every day, arranges from small business to self-help to you know pets to

00:55:26.250 –> 00:55:43.410 Joseph McElroy: to other kinds of business opportunity to travel, I actually run another podcast so as I mentioned there’s a travel, I have some travel properties, including a motel resort country in the mountains and I have a podcast called the gateway to the smokies that airs on Tuesdays from.

00:55:44.520 –> 00:56:00.960 Joseph McElroy: from six to seven by talking about things to do in the smokies out so look me up for that, and this podcast runs wise content creates wealth runs every Friday from noon to one and hope to see you next week for both those podcasts and until then bye.