This episode is brought to you by ChiefAIOfficer.com. Most companies know AI can slash costs and free up teams, but they get stuck on the first step. ChiefAIOfficer.com can identify your highest value use cases, train your people, and build the workflows that do the work for you. Book your free private 15-minute executive briefing by going to chiefaiofficer.com and scheduling a call. You'll leave with a clear, no-jargon roadmap for your goals. Now, enjoy the show. Welcome to Using AI at Work. I'm your host, Chris Daigle. Each week we'll be learning how today's business owners, entrepreneurs, and ambitious professionals are getting more done with smart use of tomorrow's tech. Let's get started. Greetings, everybody. Welcome to Using AI at Work, and I just want to point something out. I am at a mountain lodge doing this from beautiful uh Red River, New Mexico. I don't know if you can see the the mountains out there, but we are uh we're not in our normal studio. So um I wanna uh welcome Deb Andrews to the channel. Hello. Um and today we're gonna talk about AI. Um so Deb, we we were just briefly talking before this episode started. And um one of the things that I thought was very interesting and that we don't get a lot of. We get a lot of people who have a very uh precise, like, oh, I do this in with AI and business. I do this with AI and business. But with your background, which I'm I'm gonna ask you to explain in just a moment, it sounds like you're being forced to understand a much broader uh landscape of generative AI's application in businesses. So before we jump into that, why don't you um share with the audience a little bit about your background and what led you here today?
SPEAKER_01Terrific. Well, thank you so much for having me on your special show from New Mexico. Uh, my name is Debbie Andrews. I'm the president and owner of Marketree. We are a strategic marketing consultancy. Um, we embrace what's called a fractioning marketing services model where we serve basically the in-house marketing department for companies that choose to outsource their marketing function to us. Um, we've been in business 21 years, and you know, through being in the marketing field, and marketing was one of the first areas to be affected by AI, um, generative AI in particular. Um, so we've been actively learning and operationalizing AI for the last 18 months to two years.
SPEAKER_00In your own business. And did you start when you started using it in your own business? Was it an immediate, like, oh my gosh, hey client A, hey client B, let me show you, let me do this for you.
SPEAKER_01Yeah. So it's not so much, it's interesting because our clients really hire us to to handle marketing from the most strategic level down to the tactical execution and the measurement. So they never really ask like, how we're we're doing our magic. We just kind of make it happen. Um they aren't really curious about how we are starting to incorporate AI into our best practices because they're reading about it, they're learning about it. It's affecting other parts of their operation. So they're asking, like, hey, we heard that AI is affecting online search now. What are what are we doing? So let's say we extend, what are we doing to, you know, kind of incorporate that into our strategies? So they may ask questions based on things they read and hear, but they trust that we are leveraging AI safely and in the best possible way to help them gain efficiency and more effective marketing over time. So they don't ask about any particular tool really. Um they're more interested holistically and like whether we are embracing AI best practices. And as they read how it's affecting certain things, they kind of just gut check to say, hey, did you hear about this? And you know, they're relieved that yes, we've heard about it. We've we're we have a new best practice, we're following it, we're, you know, they just want to make sure. And you know, for the most part, we we are following the trend.
SPEAKER_00So, okay, that opens up a few questions for me. One in particular, over the past 18 months, how has the conversation with your clients evolved around AI? But specifically has their has their level of savvy increased and or or do they think they're ahead of where they actually are in understanding AI? Does that make sense?
SPEAKER_01It does make sense. I would say that uh I feel like our clients are probably in the same boat as most companies are. Some of them are more AI curious than others. Some are in the same boat and feeling like they're a little bit behind. They keep reading about all these changes that are happening and um this evolution that's going to take place. And now they're reading about job displacement, and it's almost like a paralysis feeling, like, oh, we should be doing something. We don't know what to do, so we're doing nothing kind of thing. I do believe when it comes to their marketing function, because we are handling it, and we do talk openly about that we have embraced AI technologies and we use it, and we're about to roll out some pretty new cool things. Like we're we're partnering with a company called Data Box that brings AI-driven insights into analytics and we'll give them real-time analytics, the ability to query their analytics to ask questions and get answers. And so through those things that we're implementing and conversations that we're having with them, they feel secure that we're keeping up to what's going on in our profession. So I think with regard to marketing, they're feeling pretty good. But I don't get a sense that overall, holistically as a business, that most of our clients have like uh an AI roadmap, so to speak, of how it's really affecting their business, their industry, how they're gonna continue to stand out from the crowd leveraging AI technology. But they can check the box on the marketing function.
SPEAKER_00That makes sense. Uh I've got 20 plus years of online marketing background, and marketers are always like, ooh, what's that new thing? What's that what's that analytics tool? What's that tool?
SPEAKER_01Exactly right.
SPEAKER_00Uh so the adoption of AI early in the marketing department um tracks with what we're seeing as well. So, you know, there's people listening to this right now, and their uh experience is exactly what you described just a moment ago. So if it was, you know, you see the the client at the coffee shop, oh hey, funny seeing you here, and they say, hey, listen, I gotta ask you about like what would your advice be to the the the potential clients who or or clients who are having those questions about is it a big deal or or what are they asking like specifically?
SPEAKER_01Yeah, I think they are asking, you know, is this sort of a fad? Is this a big deal? Is this a tool? Is this uh a revolution of business? And you know, well, we have those conversations, my opinion, again, it's just my opinion, is that it is it's unprecedented technology, you know, having been in business a long time, I won't share how much, and having my own business for 21 years, you've definitely seen a lot of things come into marketing and change, like marketing automation, social media became a new channel. I mean, there wasn't HubSpot or LinkedIn when I started Marketry. So all of these things kind of bring about change, but never seen anything like this before where it's it's set to displace human talent and knowledge work. And so, you know, since we do specialize in B2B services is one of our key verticals, uh, a lot of our clients are starting to think, well, you know, how is this going to impact our business over time? And how do we prepare for that? Um, and we have gotten questions like, how did we start as a marketing company on our AI journey and our AI roadmap? Because 18 months ago, you know, when ChatGPT came out, I think most of my team was like enamored with chat and like, wow, look what it can do, and it's gonna make our life easier. And my initial thought was, wow, this is gonna turn marketing on its head. We need to prepare. We've got to dig in and really start planning now. And so probably the feeling that I had 18 months ago, because knowing it was gonna hit marketing early, is probably where many businesses are starting to feel that now. And so my advice to them would be sort of the same that I started my very first thing was to sign up for an MIT executive class to really understand what this is. It's not chat GPT, right? It's it's generative AI. But what is generative AI? What is it? How does it work? Um, and just having that basic level of understanding was very, very helpful so that as you're reading things and hearing things, you understand the language behind it. So that I would recommend um to anyone to take some sort of a course of an immersion background so that you understand what you're reading. And then for us, we were lucky enough in that there was an institute called the Marketing AI Institute that specialized. Yeah, they're great. Paul Reitzer and Micah Put. I love their podcast. I started embracing their podcast every week listening to it. I read his book, and through the helpful templates that they gave, um, that's really how we started our journey. He gave a template that recommended breaking down all the use cases that we do in our business. So, say we were in a marketing business, for any business, you can in every functional area start documenting processes, key processes, key use cases. And then basically what it had you do is like, how beneficial would it be if you had generative AI that could help you make this use case faster, better? How beneficial would it be to your operation? And then the next question is how hard would that be to do? And then you sort of come into like, what are quick wins? What are high value, like low-level lift type of things? And those are the things that get those baby steps. You can start getting baby steps and getting momentum because you're like, oh, I just like kind of infused AI into a use case. I see a car. I'm saving like 10% of my time. And that gives you confidence to keep going further and further.
SPEAKER_00Yeah. Um, do you remember what some of those like early use cases were where you were like, I think AI can the templates tell me this will work. Let's give it a shot.
SPEAKER_01Yes, they were all around content generation. Um, obviously, when ChatGPT came out, the first thing people noticed is wow, it can it can write blogs, it can write social posts. And so for us, it's like those were the easy wins for us because the technology was already there. I think in some other areas, the technology is still evolving. But with regard to content creation, it was pretty good from the start, only getting better. And so our phase one of our AI journey was in the content use cases. So, how can we write blogs? Still leveraging subject matter experts and original thinking, but leveraging the tool as a copywriter only. And so figuring out how to still create original, fresh, non-plagiarized content, but leveraging these tools because these tools are really, really great copywriters. So those were some social media, creating email, copy, anything around content generation were our quick wins.
SPEAKER_00So the the content generation. What what my experience was is that without the ability to do that in a very short period of time at high quality, it just wouldn't get done in my business. It was something that is important but not urgent. Right. Was that kind of the situation that you guys were in with the content generation, or was it fulfillment for client uh deliverables, or what was the the content that was being generated?
SPEAKER_01Yeah, so we didn't actually produce to clients any AI generated content for quite a long time. I would say we waited about a year to start using it for clients. Um, and the reason being is we're always gonna be the guinea pig, right? And if something's gonna go wrong, I wanted to go wrong for my own company and not one of my clients. And so we started practicing sort of AI-generated content for Mark Tree first and really work to perfect that model over the course of a year. Um, during that time, we continued to work with outside copywriters and really up until recently had worked with outside copywriters. Um, we've made a strategic decision at this point where we are in our journey to hire a creative writer. And we're gonna have our creative writer internally work with the large language models and the best practices now that we've built out to create just great original, fresh content for our clients. Um, because we feel like we've nailed those best practices and we can do it really well, and we can do it as good or better than we were doing it before.
SPEAKER_00I think that's a a great first place for anybody to kind of test with it. What would be some of the advice you would say? Listen, don't do it this way. We tried it, didn't work. What would you tell somebody who said, okay, I'm ready to get started with maybe some content generation at more than just dabbling? How does dev do it?
SPEAKER_01Yes. Um, so one piece of advice I would say is not to share with everybody to start doing this. You know, I think we've seen things in the news recently where some of the larger players are like, hey, your job's at risk. You really need to lean into using AI. So I think giving any kind of a blanket statement like go use AI without giving any training or guidance is the wrong answer. I would recommend that they form some sort of a committee that is going to establish some best practices and do some testing around content generation. To share some of the things that we learned is that you really don't want these models reaching into their training data to supplement uh thoughts. Um, because what happens is it's not going to sound like you. It could be false, it could be someone else's thoughts. And so at the crux of our uh best practices is that all the thoughts have to be put into the tool. So interview a subject matter expert or subject matter expert, it doesn't have to be perfect. It doesn't even have to be complete sentences. You just have to put all your original thoughts on paper. The large language models are very good at organizing it, creating a snappy title, doing subheadings, but the thoughts need to be yours. And so that's probably the biggest piece of advice that I would give to anybody that's using large language models or any of the tools to create content is don't shortcut the thought process. The thought process still needs to be uniquely human, or it's going to end up sounding like everybody else.
SPEAKER_00So what are your thoughts about using the dictation function and just like rambling?
SPEAKER_01For sure. I mean, we have for people that tend to get like blank page syndrome, we have like prompts that they can use that kind of guides through that creative process. I love to write, so I love a nothing more than a blank sheet of paper and just give me some quiet space. Like I'd love to be sitting out on that patio right now, Chris. Just writing. And that's where I do my best, like just free-flow writing, hand paper, and then I'll eventually like type it in. And that tends to be my best work. And I love the fact that I don't have to sit there and agonize over does this sound sentence sound good, or should I word it better this way or that way? But I can really just let the creativity pour out of me without having to worry about that, knowing that the large language models are gonna be much better at that than I am.
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SPEAKER_01Yeah, that's a great question. I would say we've tried a lot with image generation. Um, we've tried um Gemini's imaging, even though they've made some strides. Um I wouldn't say any of the images that we've created are ready for any creative campaigns or ones that we would even include in social media. Um, we have seen some promise with ChatGPT, some of the more advanced models with the image creation. But in general, I would say the content feels so easy. The image creation for whatever reason doesn't feel as easy. And that could be because maybe we need to have a designer putting in prompts. Maybe a designer could put in prompts and knows exactly what to ask for. And that's something that we will continue to look at and work with our outsourced designers to see if they can get better results than we can as non-designers. But just as like everyday people trying to get like really creative images, we haven't had a tremendous amount of success with that yet.
SPEAKER_00Little tip that was a rabbit hole I went down. And where I settled was uh Ideogram in general, very good. And when uh 4.0 kind of kicked, they got rid of Dolly and they moved in. Some of the stuff that so we have a big community of chief AI officers and all this kind of stuff. Yeah some of the stuff that I'm seeing them produce from just like, oh no, it was just just a prompt. Like, wow. So maybe give those two a shot. Yeah, for sure.
SPEAKER_01Yeah, no, thank you for that tip.
SPEAKER_00Um but it's a good point. I mean, it it has the ability to create some amazing things, but marketing, right? Like you can't just say, hey guys, check this out. It needs to be production quality, and and yeah, until you get there, it's tough. Um, any other other areas where you guys have had that same experience? It's close but not there yet.
SPEAKER_01I would say with regard to analytics, we actually spend a lot of time trying to figure out what the best way to pull data from all these different sources. So a typical client for us is on HubSpot. We use the Google Analytics GA4. Um, we track organic search rankings and SEM rush. We'd like to look at social media we're pulling from LinkedIn. So that's like kind of the basic, and then you can add on from there. And so for us, reporting is like trying to pull together all of these statistics and make sense of them and put together, we're putting together manual charts. Um, about a year and a half ago, we tried a tool called Click Data. We hired an outside vendor. Um, and you know, it just it was clunky. It it was clunky. It did like pull feeds, some of it was a bit manual. And unfortunately, we just weren't getting like the AI insights. It's really what we wanted, even its most basic form. We wanted because we're analysts, but we didn't go to school for business analytics. And we want that kind of level insight into the data. And so after you know, carefully vetting a number of different, we decided on data box because uh the integration was very easy. There's really no manual like uploading of sheets or anything like that. And it does give you a really nice AI insight overview into the data and the ability in kind of natural language to query the data and get further insights. And so I think after kind of striking out with click data and have it not be quite the tool we thought it was gonna be. Um, and maybe it's just a function of time. I I think Data Box has been around for a while. My guess is they've been working on their AI, just like all the technology platforms are working on their AI. And it just seems to be really strong. It's it's good. So um, I would not I would say don't be discouraged. It's striking out. We've we've done a lot of striking out with things and we just kind of let it float right by and go on to the next and chug up to really good learning, you know, makes us more understand, like understand more what we want and what we don't want, even if it doesn't work out.
unknownYeah.
SPEAKER_00So you mentioned a couple of of the data sources that you guys look at for your own business and for your client businesses. And some of those were SEO performance related. Where are you going for GEO, or what are you calling the term of like the generative engine optimization? What are you hearing it called and where are you going for that info?
SPEAKER_01Yeah. So early on, we didn't even know. So I would say a year ago, we didn't even know if tools had existed for this. And so we were just really doing queries in the large language models to see how we were showing up and our different clients were showing up, what questions were being asked around our clients, like after we would get basic information, like what were some of the questions that were being asked? And so we were using that as like initial input into what these large language models were looking for. And what we found was that they were pulling information directly from reviews on Glassdoor, reviews on Google. Like I would see them, oh, Marketry is very good at this because they do XYZ. And I could see that it was pulling from a review. So I'm like, no self, we need more reviews. We need more third-party proof points because it's looking out to draw conclusions. Um, shortly thereafter, we hired our first full-time PR person in-house. Like we're not an agency, we're a consultancy, but we knew that every single clown is going to need third-party credibility and proof points. And so now every one of our clients has a PR program. However small, we know that like pulling from outside sources to get information about company is really, really important. So that was one of the early um things that we discovered just from being curious and just going on the large language model. So I would suggest to everybody is to go on a bunch of them, go on chat, go on Gemini, go on Claude, and ask like, tell me what who are the top 10 fractional marketing companies in our case? And then we would see how what are the pros and cons of working with each one of these companies and just see what they say. And that's going to give you a lot of information about where they're pulling information about your company and about your competitors. However, we have seen some tools come out recently that focus more on um this AIO or LLMO or whatever people are calling it. Um, so we've been testing scrunch.ai, which we actually really like, um, to give some really good information about scrunch, like a like a scrunchie, scrunch.ai. Um, and basically it allows you to kind of put in various prompts related to your business and see sort of how you're faring for these various prompts on all the different large language models. Or you can say, you know, I only care about these three large language models and I'll only focus on these three. It'll also give you some recommendations of things that you can do to have more favorability in these large language models. Another tool we tested, really good too, is called Revere. Um, so those are they've just kind of been born in this new generative AI era. Um, but we've also talked with some of our other providers like SEM Rush, that we've used for quite some time for Google Insight and keyword rankings. And they have now their own kind of AIO platform that you can upgrade to as well. So I would say look at outside tools, but also look at your tech sec that you currently have. More than likely, they are building something for that purpose.
SPEAKER_00Are you saying that SEM Rush already has some like tools in their ecosystem for Yeah?
SPEAKER_01They have like a new, so they have their base, which really focuses more on organic search and Google and keep rankings, but now they have an upgrade. So you can upgrade to their AIO model. Um and just truth, truth speak it, it's not inexpensive. Well, I'm not saying it's not great yet because I haven't tested it, but it's not inexpensive. Um, it is premisy, very pricey. Go up to that tier and then because they basically make you go to the kind of the enterprise level to kind of get that tier. And then if you want the combo, which sounds so appealing of the SEO and the AIO, you're on the enterprise level. And again, it's it's gonna be an investment and it could be well worth it for your particular business. But for now, for market screen, we've been pretty happy with scrunch and we're gonna move in that direction. We think they're tracking pretty well as far as giving some good information and insight.
SPEAKER_00That's cool. That's a topic that in our community is it's been discussed for, I don't know, three or four months at least, but the discussion is getting more frequent, or that topic is coming up more often, right? Um is that something that Marketree had a uh like you guys were strong in SEO for a long time?
SPEAKER_01Yeah, I would say we're strong in SEO. We always like to kind of build, um, build for the long game, like understand what our clients' go-to-market strategies are and make sure that they're well positioned from a content standpoint to rank organically. Um, and I wouldn't say we're disbanding like all organic search rankings, I would say we are changing our content strategies because of generative AI. So, for example, if you think of like a full funnel content where you have top of the funnel educational content that's not salesy at all, not related to a product, just information. Your middle of the funnel, which is more consideration, starts to bridge the gap between education and solution, and then bottom the funnel more sales. We are focusing less on the top of the funnel because our feeling is that almost any question you could want information on is at your fingertips with these large language models, and they're gonna give it to you, and you don't have to click anywhere. They may cite you, which is great. Um, it's also being served up by the AI overviews in Google as well. So we have really started to focus more on the middle of the funnel and case studies, things that are uniquely yours that we know also the large language models really like those kind of proof points. So think about case studies, think about reviews, testimonials, storytelling, anything sort of in that middle funnel that can only be uniquely your company's, but also kind of gives that third-party credibility as where we're kind of honing in. That's not to say that they're not top of the funnel content pieces that are still there to be created, but I would say if you are gonna write educational, make it make it wow, make it entertaining. Talk about something that you cannot find on a large language model. And that's only gonna happen because you have the experience and the breadth of experience and the creativity to create something that generally people want to read.
SPEAKER_00Cook. That was great. That was great advice, actually. Like um so you know, you were talking about SEO being that playing a long game. For me, it feels like eight eight AIO or however they're calling it, that it might be like if you're playing it now, you're playing for a really long time. Like it's a is it too early, do you think, or do you are you already seeing clients that are like, hey, we're noticing that traffic's coming from 100% search engines? Oh yeah, for sure.
SPEAKER_01In the past couple months, we have seen across our clients like a 20% drop off on organic search, and we can see you know, in the sources, like if I I had a lead come in for Marketree last week, and I first thing I do is scroll down to the bottom of my HubSpot feed to see where it comes from, and it's say refer from ChatGPT. Talk with another prospect.
SPEAKER_00You're being cited in a result in ChatGPT and they're leak they're clicking through on that citation to your site?
SPEAKER_01Yeah. So I in in HubSpot, it will basically it it's coming in as like referral traffic. It'll say referred by ChatGPT, referred by Gemini. And so you're seeing your for all sorts.
SPEAKER_00My question is if somebody if I'm in a search I see your your company and then I go to uh like Google and enter it, it's not gonna show that that was coming from ChatGPT. So this must be meaning that in the results that ChatGPT is giving this this uh individual with the query, it's including a hyperlink to your site.
SPEAKER_01That's exactly right. And what I found out through talking with those prospects, because they'll say, I understand you found me on ChatGPT. Is that correct? And they'll say, Yes, I did a search for the top fractional marketing companies, and you were one of the top. So they're using that list and they're clicking over to the sites.
SPEAKER_00So these people are using it almost as a replacement to Google.
SPEAKER_01It's a listical. Yes. Every single case that I've asked about that scenario, it's been a listical. They've asked for the top companies. So they're at, they've already done all their homework, they generally know what they want. Now they're asking Chat GPT to give the best, the top sources, and they're going to those sites.
SPEAKER_00So the the reviews definitely matter.
SPEAKER_01They matter so much.
SPEAKER_00You have a review strategy?
SPEAKER_01Yes, they do.
SPEAKER_00Is that something that you do for your clients?
SPEAKER_01Absolutely. Yes. Encouraging them. And, you know, we have some clients that are like so humble and they really don't want to bother their customers to give reviews. And I'm saying, you know what? You do great work. Your clients don't mind, your customers don't mind giving reviews, and it is going to be critical, absolutely critical to showing up in those top search results. I would say also, you know, I've never been a company that's into like the self-promotion in the best of awards. But I have to say, you know, it's crossed my mind that I think we might be applying for some more of those awards and those PR opportunities because that's going to be pulling from those two.
SPEAKER_00That's another nugget. That's a great idea. Huh. Team, please be taking notes, right? Um this is great stuff. Okay, nice. Um I'd mentioned before we got on that I wanted to kind of discuss change management because it hasn't been a problem for me. I think that the the narrative in the marketplace is that there's a lot more fear about it than I've encountered necessarily. But I'm also I'm not doing deep dive surveys into client companies when we when we come and go on bringing AI. So I'm not the best source. But what is your experience with hesitancy, reticence, anything related to with your clients at least, like, oh, you're using AI? Hey, wait a minute, let's talk about it. Or um clients saying, hey, we'd love to use AI, but we're getting pushback from the team. Are you hearing that?
SPEAKER_01Different for different clients. Um, the clients that tend to be in more regulated industries, like our CPA firm clients, really want to understand like what we're doing to make sure that we're not at all putting them at risk. And for the most part, we're doing marketing, so we're not uploading confidential information, client data, anything like that. Um, so those are the things that they're concerned about. I would say from our clients, they're more curious. They're they're kind of hungry for information. I recently did a webinar, um, and most of the folks that attended the webinar were our clients. They wanted to hear about, you know, how to, this one was on like how to make um business development easier, embracing the seller-doer model. So when you're like a partner at a firm and you have to bring in business, like how can you save time through using some of these tools to like gain information about a company or monitor industry trends to create thought leadership? So I had high attendance. I would say more curiosity than fear. But when I read, and I read a lot, I definitely read more fear than I do in some ways enthusiasm for AI. I think the AI enthusiasts, such as yourself, I am too. Like we've gotten a little bit more comfortable with it. And it's it's exciting. And sure, there's a little fear factor in there somewhere, but it's more exciting than fear. If you're not, if you haven't been reading anything, if you don't have a knowledge of even what large language model is, and but yet you're reading these articles about job loss and everything, I think there's just this proliferation of fear. And um, there just needs to be more AI forward thinking within companies. There needs to be somebody that wants to stand up and form a council to say, how can we make folks within our organization more AI literate? Who's going to help start having conversations? It doesn't even have to start with a plan of how you're going to change the organization. It may start with just simple education about what it is and how folks can start becoming more comfortable even with the language around it.
SPEAKER_00What would be, I don't know, like a dipping the toe in the water exercise to say, hey guys, we're going to start talking about AI and the company.
SPEAKER_01Yeah. Um, we started by having everyone sort of assigned to one of the tools at the time. So we had a chat GPT team, a perplexity team. And what we asked is that they would just spend a week doing some experimentation collectively as a team. So no one kind of felt alone and then come back a week later and share their findings. What was perplexity good at? What was Gemini good at? What was Chat GPT? What did they find in terms of like prompting that got better results? And so that's really kind of how it started was just to start to use the tool in a non-professional way. We weren't using this on clients, we weren't using it on ourselves. There was zero pressure. It was really, you could look at it as play. We were just playing with the tools. And with that, with no expectation of getting a result, it feels very safe to go and start to play with the tools. And then you're like, hey, this is pretty fun. Um, and then we have people in our organization start to like um design. One one of our employees started to like design dresses for her daughter. They would sit there and design dresses in the tool. So they found like pleasure out of it. And I think once you start doing that, you become less spherical of it.
SPEAKER_00I think that's great advice. I listen, um, I I I don't know what would be the best way for me to reciprocate the generosity of of time that you've shared with our audience today. Um but if people want to I've taken away several nuggets from this just sort of like that. She just said what? So some great stuff. How do people plug into what you guys are doing and continue to get access to Market Tree's um like experience-based wisdom?
SPEAKER_01Yeah, uh, I would recommend people um go on Market Tree.com. We have a resources section. I would say a good a third of our content right now is about AI. Um, we are hosting a series of webinars this summer. We've had one, we're having another one um in July on reimagining the marketing department, where it's come from in the 1990s and where it will be in 2030. So people can tune into that. And um there'll be more to come this fall as we launch a couple more service lines around AI. So just visit our website for the latest information about our events and and blogs and resources.
SPEAKER_00Can I ask Deb, because I'm personally curious, is is the replay of that one that we've missed, is that available on the website?
SPEAKER_01Yes, of course. Just send me an email, deandrews at marketree.com. I'll get you the recording.
SPEAKER_00Awesome. That would be fantastic. Hey, thank you so much for popping in here.
SPEAKER_01Thank you. It was great talking to you.
SPEAKER_00You as well, Deb. Um, so everybody, this uh all the links that we talked about in this episode, they'll be in the show notes. And I would encourage you to check out Scrunch and some of these other ones because the nuance that was shared by Deb when it came to, oh, we see the the AIO working because of these things, that was priceless. So thanks everybody. We'll see you all on the next episode. Thanks for tuning in to using AI at work. Don't forget to subscribe for more conversations about how to use AI at work. And a special thank you to our sponsor, Chief AI Officer, for empowering businesses with AI Education Training. Visit their website for free AI readiness assessment and AI strategy guide to help you get started using AI at work.aiofficer.com. Thanks to our producer, Evan Sonier, for making this episode possible. Follow us on Twitter at handusingai at work. And visit www.usingai at work.com for free resources to help you harness AI in your role.