76 - Optimizing Your Content With AI

Rich: All right, we're back January getting any easier you for you, Caitlin, it's been a week. Okay, fair. Um, well, we'll just, uh, ignore that and we'll talk today about how to optimize your content with AI. Um, we've talked about AI a little bit and I know Zach's been using it to, we've been using it to like create, um, outlines and summarize and those types of things.

Rich: And then the content's actually created by human beings generally. On the back end now, it's like an AI sandwich. He's using content to optimize or using AI, sorry, to optimize the content. I guess all of our content is used to optimize AI as well, generally,

Catelin: because it's just out

Rich: there crawling everything.

Rich: But yeah, he's using AI to help optimize on the back end. And so we're going to talk a little bit about that today and why you might want to do that and why it's important. Um, and the big question is, how do you do it? So we'll get into that.

Catelin: Um,

Rich: I know you will, you will learn, um, but we're going to talk prohibition first, and we talking about a pink lady.

Catelin: Yes. I think this is hysterical that they were trying to cover the flavor of like bathtub gin. So you're like, okay, gin right now is terrible. How do we come back from the brink? So,

Rich: yep. When you are bootlegging and mm-hmm . Um, making gin quite literally in your bathtub, um, during prohibition or, uh, after you gotta do something.

Rich: So they threw, uh, basically all of the things added grite and lemon juice, apple jack, which is apple brandy, um, to try to make a balanced and approachable flavor. So those are a lot of things and it has one of fav Caitlin's favorite things, an egg white. Um, she likes a full leg for the flip. Gin as well, which is not terrible anymore because we don't buy bathtub gin anymore.

Rich: That's correct. Um, we buy gin made from, you know, really nice people. Noted.

Catelin: I don't really care about the quality of the people from whom I buy the gin. It's mostly that it's not made in a bathtub. That's my Yeah,

Rich: that's true. Step one. Um,

Catelin: So this is an ounce and a half of London dry gin. A half ounce of apple jack, again, that's apple brandy.

Catelin: Three quarters of an ounce lemon juice, freshly squeezed. A quarter ounce of grenadine, which is just, uh, like simple syrup made out of pomegranate juice. Did you know that? Mm hmm. I did. Yep, I did. I did, but I, you know, I just feel like it's necessary to share that as, at any time I can. Uh, one egg white, and you want to garnish with a brandied cherry.

Catelin: So you add all of those ingredients into a shaker. And vigorously dry shake, which just means you're shaking without ice. Add ice and shake again until well chilled. Strain into a chilled cocktail glass, I think this would be very cute, in a coupe. And garnish with a brandy cherry.

Rich: Yeah, and you get that nice pink flavor from the grenadine and the egg white.

Rich: Yes. It's going to be really pretty.

Catelin: What the egg white does, like why you wanna dry shake your egg white specifically, is to get the really full body like froth. So basically you're like mm-hmm . Making the early part of a meringue, if you will, in your cocktail glass. Yep.

Rich: And I was gonna point that out because it's something I've learned from you is you have to do the dry shake with the egg white to get it to do what it does.

Rich: To get, get the, and then you can to get, get the body you could. Mm-hmm .

Catelin: Exactly. Exactly. Yes.

Rich: Well, that's exciting. And this one's just, uh, this, this recipe has been around forever. So, um, since prohibition times in the thirties, um, and then also since the dawn of time, and this is another high society woman drink.

Rich: So we should have pink ladies some afternoon during happy hour.

Catelin: Okay.

Rich: Um, I mean, I don't, I don't hate the stuff that's in this.

Catelin: No. And I do love The applejack, I could like, eh, take the leaf. I don't know.

Rich: Yeah. I think you gotta have it to, like, make it work. Probably. And a brandied cherry, that's like a cherry that's just been soaked in brandy, right?

Rich: Is that what

Catelin: that is? I think

Rich: so. I wanna say it's like the Luxardo cherry. I

Catelin: think that's what is Is that what Luxardo cherries are? Is a Luxardo cherry a brandied cherry? Candied cherries. Okay.

Rich: I would go with a Luxardo cherry probably because we have those, which I think would work fine for it. It's not going to be bad or anything.

Catelin: Brandy cherries versus maraschino cherries.

Rich: Maraschino cherries are trash. Sweet

Catelin: tart flavor with notes of brandy and pie spices. Oh, that's interesting. So maybe you'd wanna

Rich: Lixardo cherry or the ones from Trader Joe's or Costco has some now too that are a knockoff.

Catelin: There are so many other kinds of cocktail cherries.

Rich: Really? Maybe we'll have to just do a cocktail cherry episode.

Catelin: Oh my gosh.

Rich: I don't know. Dorothy will come up to

Catelin: the bar. Or like we'll go to the Diving Elk in Sioux City, especially, and they know that she wants pineapple juice with like four cherries in it. So she gets a little kid cup with like her cocktail.

Catelin: It's very sweet.

Rich: Pineapple juice with four cherries. I mean, honestly, that sounds good to me, but I'm going to throw two ounces of like gin or vodka in there, too. Generally, we don't

Catelin: give gin to our four year olds, so, you know.

Rich: Oh, I know. I know, but I'm not four. Um, I love this because, you know, there aren't a lot of pink cocktails.

Rich: And I think part of it is that pepto bismol like.

Catelin: Just

Rich: look of them. They don't taste like it,

Catelin: um,

Rich: but that's a neat one. Um, yeah, I like this one. It's very pretty.

Catelin: This is, she's big. She'd be cute. Absolutely. All right. Well, cool. And that recipe came from liquor. com just in case anybody wants a,

Rich: wants a source citation.

Rich: Then floating around there for years. Um, you know, I don't, I always wonder like who made it up first? Like, okay, so the gin sucked. We have to throw stuff in it to make it drinkable. Who was the one who chose these things to put in it? And then said, let's also toss an egg white. Like that's, you have to be creative to pull this stuff up.

Rich: Like be a mixologist. It's a whole different fog. No,

Catelin: I think, um, cocktail culture was really born out of desperation. Across flavor profiles, they're like, how do we make this better? These are the things I have.

Rich: Got it. Let's

Catelin: see what sticks.

Rich: Well, and we've seen that in other cocktails, right? There were a couple that were even from like some bar in New York in 2019.

Rich: And it was because we have way too much of X liqueur on hand and no one is drinking it. Or the liquor company is like, we make this really niche. You know, whatever, liqueur and no one's drinking it. So let's come up with a drink that everybody can ask for by name and then all the bars will have to buy it.

Catelin: Mm hmm.

Rich: So, kind of both of those. Why is Jagerbomb

Catelin: the thing that comes to mind when you say that?

Rich: Oh, no. I mean, I do, like, mm. Yeah, the Jager shots weren't enough. Um,

Catelin: oof,

Rich: oof. Okay. I think that's a good point to, uh, take a break. Mm hmm. And move on to talking about. Uh, optimizing content with AI. Yes, because you can't,

Catelin: you can't optimize Jagerbombs.

Catelin: We just gotta move on from that. No. AI Mm mm. And

Rich: we're back. And if you hear a dog. I'm ready to optimize. Um, what is optimized is there's a dog snoring behind me. So if you hear that. I don't think the mic will pick it up, but if you do hear it. Um, there's a very tiny, uh, it's the little brown one, so he's not being evil right now. He's just sleeping and snoring.

Rich: Um,

Catelin: yeah, I know

Rich: he's, he's got issues. Oh, he kept spitting out his Prozac the other day and I'm like, no, you have to take that. It's the only thing that makes you tolerable.

Catelin: Oh

Rich: yeah. But maybe AI could optimize like, I don't know, there's no like, see AI dog training sounds interesting to me. There's gotta be something around that.

Catelin: Yeah. Yeah. Like behavior training. It would separate your routine.

Rich: Yeah, maybe, but I'm worried about what it would be. I think you still have to physically do

Catelin: the training.

Rich: No, I want AI to do all of the things. I want AI to fold my laundry for one. I'll wash it and dry it, that's fine, but it needs to fold it.

Catelin: You want a Judy from the Jetsons. Yes, I do. Is it Judy? Was that the robot maid?

Rich: No, Judy was the daughter. Rosie was the robot.

Catelin: Oh, that makes sense. Okay, yeah.

Rich: Um, and I don't want the creepy bot that Elon Musk was trying to show that had actual humans. Like running them with joysticks at that cocktail party.

Rich: Did you see that?

Catelin: No, I avoid anything Elon Musk related.

Rich: Um, but they were, uh, they were actually not quite ready. And so they were being controlled by humans who were looking through cameras in their eyes to be able to like, interact with people. Very weird. Elon

Catelin: Musk is a grifter.

Rich: Oh, we can't get into that.

Rich: But what we can do is since AI isn't good at. You know, doing your laundry, physical tasks, what is it good at? So it is actually doing a really good job of revolutionizing content optimization, content creation, still on the fence, still a little bit wonky, but content optimization has been really, really good.

Rich: Um, yes.

Catelin: It's also, um, it's like a, if you want to think about it in terms of like keyword research or analysis and idea generation, it's basically like a thesaurus on steroids, really, where it's like, Oh, you want to talk about insurance? Well, here are like 10 words related to that type of insurance. And how do you like write around those?

Catelin: And then it's like, okay, you've given me 10 words about insurance. Tell me three topics for each of those so that I can start ideation and generating blog posts or podcast episodes or white papers or all of that type of thing. Um, but that initial like spider web kind of, of related pieces is what AI is really good at.

Rich: Yeah, all those things that are super time consuming and tedious. Um, the other thing that I love AI for in optimization is I've done a lot of ghost writing for people. I've done ghost writing for doctors, like, you know, magazine articles or blog posts and things like that. And when you get the article from them, most of the ghostwriting is making it palatable for a normal human who didn't go to medical school to actually read.

Rich: And so, you can actually take something from AI that's written, or something that's written, Way above the level of your audience and AI can not really dumb it down, but bring it down to an approachable level, um, can also change the tone. If you've got something very matter of fact, but it's not in the right brand voice, because like you said, it's a thesaurus, like it basically can act like a big thesaurus.

Rich: So it can switch out words where it needs to, um, to make things fit a little bit better.

Catelin: Yeah.

Rich: Um, and I think, um, and I think it's been this way for Zach, but. As you look at taking those routine, time consuming tasks away and letting AI do the heavy lifting, you still have to go through them, you still have to look at them, you still have to weed through it, but you're not doing all the digging.

Rich: Um, it really does help you move on to creating that content and making it fit the client better. Um, doing those things that humans are good at, right? Like, you get more time for that brain work and creative work. See,

Catelin: um,

Rich: and you don't, um, you don't really fall behind, like sometimes research, you know, we, oh, you've got two hours to research this article.

Rich: Well, it took four. Like, now what do I do? Like mm-hmm . Do I have to write it really fast? Like what goes on ? But if you could have AI take 15 minutes to pull the keywords for you and a little bit of research with the right prompting, um, now you've got extra time to write and be creative or do it faster, cheaper, better,

Catelin: and then go take a nap.

Catelin: Like the little brown dog.

Rich: A nap would be really good right now.

Catelin: I know, I agree, I agree. Can you talk to me a little bit about the practical applications of AI? If you're talking about SEO, or maybe switching up your meta descriptions, can you let's dive in there.

Rich: Yeah, so again, AI, like Technically, AI bots have access to the internet, um, like everything that's out there.

Rich: We have access to it as well, but we can't digest it fast enough. Um, so in particular with SEO opportunities, AI can look at content on your page and look at related terms that are showing up in SEO or PPC or wherever, and make suggestions for content updates where you can switch some language. To be more aligned with how people are searching for it.

Rich: Um, I think about it when you think about audiences, Gen X, which I am a proud card carrying member of, um, and I realize we're becoming the next boomers, but hopefully not, but we love, we learned to search Google with choppy phrases,

Catelin: like,

Rich: you know, gold couch, 56 inch. Whatever. Like we, we put words together, but they weren't sentences.

Rich: They were just these chopped up things that we're looking for. Um, but, you know, gen Z now I learned, I learned how to ask j Eves .

Catelin: Oh. Which was the first one? One where you I always put questions in. Yep.

Rich: And Jevs wanted a question and we never did a question. We just mm-hmm . Ours were demands. Like, that's just how Gen X was.

Rich: It was just, show me this, show me this thing. I want all of these things together in one, show it to me. And as Google has You search

Catelin: like a toddler. Kind of, yes. That's what I'm hearing. But that's how we were

Rich: taught.

Catelin: Right,

Rich: yeah. And that's how search engines worked. Ask Jeeves was the first one to ask it a question, and it didn't take off in part, I think, because we'd been trained that that's not how you do it.

Catelin: Mm hmm.

Rich: Um, I mean, it took off for a while, but then it went away.

Catelin: Yeah. But I still remember their cute, like, Trey Butler logo. Yep, but

Rich: now with Google and YouTube and other search Gen Z in particular and a bit with the Millennials is Just Real language, just asking a question, putting a phrase out there, you know, we would look up, like, Demi Moore ex husband,

Catelin: and

Rich: now the search phrase would be, who's Demi Moore's ex husband?

Catelin: And then if

Rich: you, you would get a couple of them, right? And you could pick which one and you could ask more questions about it. Oh yeah, choose more than

Catelin: one.

Rich: Yeah. So, um, and just saying that because she was on the Golden Globes a couple weeks ago, but it was, um, She was. She won

Catelin: her first, won her first, like, acting award at 62.

Catelin: She did.

Rich: Which, I love. She did, and she snubbed one of the Jenners, I think. Kylie, maybe? I don't remember. I just remember Timothee Chalamet's mustache got a lot of play, and he was at the table, and she said hi to him, and hi to another person, and then just ignored the fact that Kylie Jenner was there. I think that's what it was.

Rich: I don't know. I don't read the pop culture. Um,

Catelin: you don't, cause it sure seems like, you know, what happened at the Golden Globe. Zach's nodding.

Rich: So I think I might be right. Uh, Zach, you can check with Chloe and see if that's really what happened. Um, so yeah, so it can help you with that back, getting back over, away from the tangent.

Rich: It can help you with that on page SEO content, so, and it's going to look for things to change and we use different words for things, right? Um, like I have never used the phrase skibbity toilet in my life, but it's something that happens and is out there. Um, that one came up in a TikTok video for one of the teachers that I follow.

Rich: He did a whole thing like his sick burns that he gets back at his kids with when they try to sick burn him. And there's things like, at least I don't have a bedtime. Like, I don't have to ask my mom about that. Oh, that is Gen Alpha. Yeah, skibbity toilet's Gen Alpha. And he's like, I don't use phrases like, what does that mean?

Rich: Like skippity toilet? I think it means like gross toilet or sketchy toilet. I'm not positive, but I think, but that was where that came from.

Catelin: I don't wanna know.

Rich: It hurts me. But the, the real thing there is as you're looking at generational audiences, they use different terms for different things. Mm-hmm

Rich: And sometimes the lexicon of the culture shifts. To change from one phrase to another, like at one point, um, I would just think like semis were big rigs. Nobody calls them big rigs anymore. You know, 18 Wheeler, those types of things.

Catelin: so,

Rich: having um, AI help catch those cause it's going to see it in the search results where one word is taking over another and you can tweak that ahead of time.

Rich: Sorry. Total nerd geek out tangent right there, but it was related, I guess. Um,

Catelin: That's it? More. Do more. Do another trick! Yeah,

Rich: so you can also have it take a look at your titles and meta descriptions. Um, we always want to optimize those for better click through rates. Well, guess what? AI can go find out what phrases and words are being clicked more than what you've got and make recommendations.

Rich: The other one that is wild to me, and I know HubSpot's AI tools will do this, Um, it can look at your whole website and find internal linking opportunities. That will improve your navigation

Catelin: and your

Rich: page authority. So a lot of people forget. Link one page to another. If you've got this blog post that mentions these three services you provide,

Catelin: link

Rich: them to those services.

Rich: So yeah, it's like,

Catelin: yep.

Rich: Um, yeah. And make sure that blog post shows up on the page for each of those services. Um, so we can really look at content and make suggestions. And sometimes it's off, I will admit, like it's not perfect. Um, but it gets better and, you know, supposedly it learns. Um, and at one point it will take over everything and, you know, we'll just be the, the human fodder on the planet, but, um, you know, we'll see.

Catelin: That's fascinating. I, um, I think that my favorite part of AI is, um, removing some of the manual labor, but then also seeing how far you can push it. If you can make it. Say crazy stuff. Like if you have a spare 15 or 20 minutes, if you can, like, make it. I thought you were going to

Rich: say your favorite part of AI is removing people you hate from old photos.

Rich: Uh, when you said removing, I went right to people I hate from old photos. Ha!

Catelin: Do we need to talk offline about that?

Rich: I, we, we probably do. I did, a photo came up in a memory and I was like, this would be so much better without these two people in it. And I removed them and I liked the photo so much better.

Rich: Oh man. Thank you iPhone and Apple and iOS 18 for helping me do that. Whoop. Um, it was, yeah, it was, It was wild, but yeah, I should, I will, I will share with you what the original photo was offline and we'll go from there.

Catelin: I look forward to finding this out and then also meeting those same people because nobody holds a grudge like I do.

Rich: I know, I know. Like

Catelin: an unimportant grudge to me. Yep. Yep. You've wronged, uh, my friends have been wronged,

Rich: uh, yes. your desire to push AI as far as you can and make it do crazy things is why we need that human balance. To oversee the content creation piece of it. Um, I love that AI's kind of wild ideas can be called hallucinations.

Rich: I love this idea that a robot in the machine is like, On acid, hallucinating about random stuff. That's

Catelin: what I'm picturing. That's how my dreams have been. Like, uh, yeah. Yeah.

Rich: Um, but yeah. Has,

Catelin: has somebody pushed you too far? Is that what happened?

Rich: I don't know what's going on, but I was, um, I think I was telling you earlier, somebody that I had a dream that the McDonald's, or not the McDonald's, the Starbucks sous vide egg bites, which are a really healthy, like breakfast y thing, low carb, high protein, all that.

Rich: That they were over 3, 000 calories each, but in my mind, I knew that they were 6, 250 calories for two of them. I vividly remember this from my dream. That's like 400

Catelin: eggs.

Rich: Yeah, and I was sad because I couldn't eat them. And then I woke up and I'm like, I feel like I need to go look at the box and see how many calories are in these things.

Rich: But it's not going to be that many. But, yeah, like we come up with

Catelin: I'm pretty sure there's like 60 calories in an egg. So that's like, how many did you think it was? 100 eggs. 6,

Rich: 6, 100 eggs. It'd be, it'd be 50 eggs per egg bite. Those are big. That's not an egg bite. That's like,

Catelin: okay, Gaston. That's what that is.

Rich: Yeah. AI does that without having to sleep, um, can come up with random things like, you know, put glue in your pizza sauce to make it tackier. Um, so human editors do have to read through things. So editing proofreading to double check and catch everything. Don't just let it ramble on. Um, and I think also making sure you believe what it wrote, right?

Rich: Like you want to make sure that it's aligning with your view. Um, I think about that Twitter bot that they released. A while ago, like IBM did one like five or 10 years ago or something and it like absorbed everything on Twitter and instantly became racist and misogynistic and they had to shut it down.

Rich: Um, so yeah, you gotta, you gotta do some checks and balances.

Catelin: I'm gonna need you to stop, if you want my year to improve, I'm gonna need you to stop bringing up stuff like that.

Rich: I'm sorry. I'm ruining your year already. We're just a couple of weeks into it. Oh, I'm going to take that with screaming into the

Catelin: void.

Rich: It'll manifest in some weird dream. I don't know. I'm going to have a weird egg dream. Yeah. I

Catelin: mean, not

Rich: as weird as like the dream that Zach came for a meeting and his entire head was shaved. Like. Like he had little nubs of hair. But was he carrying 12 dozen

Catelin: eggs?

Rich: I know, right? Forcing me to eat a 6, 000 calorie omelet.

Rich: Oh my

Catelin: god. So really what we're talking about here is to just put a bow on it. You know what AI tie bows. AI

Rich: cannot tie bows. Um,

Catelin: yes.

Rich: He'll

Catelin: probably tell you the steps to tie a bow. I

Rich: would imagine it could. I mean I think we'll hit some point. Okay, so. Here's, I think we've got a little bit of time left, but, um,

Catelin: I can't wait.

Rich: I was watching some coverage from CES earlier, the consumer electronic show. And there are, uh, there's a mirror that I saw that can now AI scan your body. And your body, like your, it can get kind of your heartbeat, your blood pressure, your respiration. It basically scan you medically and then create a 3d model of what's going on with your body.

Rich: Um, and I'm sure it's like very early preliminary, but it's, you know, CES is all about the cool tech that like goes way beyond what's ever going to be released. Um, and I was just like, okay, like, I feel like some of those medical implications for scanning in particular. Now, do I want AI to interpret? Maybe not.

Rich: Um, but AI is all over CES right now. That's,

Catelin: I was gonna say, that's, I have seen an, a medical application where they can, um, Diagnose earlier. Mm-hmm . I can't remember what it was exactly, but it was like, oh, based on like amalgamating all of these things together. We can say like predictions and, yeah.

Rich: So the Department of Defense was using AA rings.

Rich: It's what this is. It's a smart ring. Yeah. It's got sensors on the inside. Um, I don't know if you can see the little green glowing sunset. Yeah, I

Catelin: know what, yeah, yeah, yeah. Um, but

Rich: they were trialing it during covid to try to. Re catch people who were going to get COVID because it can look at your temperature, your heart rate, your blood oxygen, all of those things that start to go wonky and they fed the data, it goes to your phone and they could feed it into a computer that could then predict if somebody was likely had COVID but wasn't having symptoms yet because, you know, their blood oxygen would drop to 92 regularly and it's normally 96 or 98.

Catelin: Yeah.

Rich: Um, what's really funny is in the Department of Defense, you can't wear a ring like this in most places in the Pentagon because no Bluetooth signals, no Wi Fi signals, like those are all security risks. But I think if you're like a four star, three star general, you probably can. Um, but yeah, so the aura ring is actually supposed to, and some of that technology mixed with AI on the back end is supposed to be able to tell you, like, if it senses something is wrong, um, like mine told me last night, like you didn't get restful sleep.

Rich: And I'm like, yeah, no shit. Like I didn't get restful sleep. I was dreaming about crazy giant egg bites. Um, but it gives you suggestions then on how to improve your sleep. And like, Uh, it wanted me to take it easy today and not have a stressful day. It has a stress ranker that like tells you how stressed you are based on all of these body signals.

Rich: Some information

Catelin: I don't want.

Rich: Well, yeah, I mean, but it does, what's interesting is I can look at that one and I can tell you the moments that were causing me stress and I can think back about whether I can avoid those, or as Brene Brown kind of says, maybe approach them differently.

Catelin: Honk.

Rich: Um, so yeah, the medical implications of AI, implications of AI are crazy, but that's a whole other episode.

Rich: Yeah. Because, you know, right now. About which we know nothing. We know nothing and won't do that episode, but, um, using it for content and to help you optimize your content in particular, um, it's, it's pretty good. It's pretty cool. And like, as we said, I think at the end of last year, AI is coming and it can be a tool that you use with your humanity and with human creators.

Rich: Um, or you can stick your head in the sand and pretend like it's, you know, You know, not here and somebody else is going to use it and do it and be faster, better, stronger than you can be. So, um,

Catelin: I think the other one in

Rich: content is summarizing. So what's really great is, and I've used this in HubSpot a lot.

Rich: I write the whole blog post and then I go to the meta description and I just can click the AI thing and it'll summarize it in 155 characters or whatever for me. Yeah. Um, That can be really, really handy as

Catelin: well. I will say I was helping a friend, um, develop. I didn't do any development for her. Um, she had some questions about a website she was building for her very small startup.

Catelin: And she had opted to do it in Squarespace, and so I, like, went in and I was, um, trying to, just, like, giving her, you know, like, you need a page title on everything. You need a meta description for everything. Like, here's how to do that. Here's where to populate that. I was like, I don't know Squarespace very well.

Catelin: But some of those things are pretty universal. And one of the things that I was really annoyed about was I had to leave Squarespace, go to OpenAI because they don't have any of those tools built in where HubSpot, I was like, no, I just want to. Can I just click the button?

Rich: I got the little blue icon or whatever above the box.

Rich: And if I click that, it's going to do a thing for me.

Catelin: Yeah.

Rich: Um, I will say though, I tried to have HubSpot's AI build a, um, list for me. And cause you tell it like, you know, I want all the people who have this box checked. Yes. And it was way off. Like it was really not even close to what the field that I wanted.

Rich: Um, so I think there's still, and it's still in beta. I got it.

Catelin: Right. But

Rich: I do find that the content optimization tools with their AI is actually pretty sweet and working really well. And Zach's nodding. He uses them every single day. He's probably going to use them when we're done here. Or he's going to

Catelin: go eat dinner.

Catelin: Make

Rich: this episode shorter. I know.

Catelin: Just kidding. Well, I

Rich: think, um, you know, that's kind of where we are. So, um, Use AI for those time consuming routine tasks. That's a great way to use it. Um, you can use it for SEO content to help analyze and identify opportunities and language updates and changes. But keep the human piece in it.

Rich: AI can't do everything. You can't fire your whole marketing department and just use an AI bot. That's not going to work. Um, well, it'll be interesting, but you'll have problems. Um, so yeah, just balance it and enjoy the tool and play. I think the biggest thing is, you know, getting access to those tools and playing around.

Rich: I know,

Catelin: um,

Rich: Zach and our team were playing with, uh, chat GPT and open AI. Before HubSpot ever had any AI tools available to us. And as soon as we got access to them, it's like, what can I make it do? How can I make it do this? I had to look up how many words are in a 15 minute podcast based on how fast people talk.

Rich: Cause I want it to actually write, I don't want to put it out there, but I want it to write a 15 minute podcast on a topic and then you can have an AI voice read it. You could actually do your whole podcast like that. I just want to see how it works. Like, Are you trying

Catelin: to replace me?

Rich: No, no, God, not you.

Rich: No. I don't think I can say, please go off on a Honduran tangent.

Catelin: You could try. You could try

Rich: no more for like informational stuff for a small client that has no staff, no team, but everything that they want to share is pretty basic advice.

Catelin: Um,

Rich: and pretty it's fashion stuff. So it's not anything that's critical that anybody's going to like kill somebody with putting pizza sauce and glue together.

Catelin: Yeah. Elmer's glue is non toxic, just for the record, but, you know, still wouldn't recommend eating it. Yes. Uh, you can find our agency, uh, anywhere agencies are found at antidote underscore 71. If you have a question you'd like to send our way, you can visit ctapodcast. live and, uh, you can still leave us a voice message on our hotline at 402 718 9971 and your question may make it into a future episode and You may be the lucky recipient of one of our Mixing It Ups.

Catelin: cocktail books that we're very would love to send those

Rich: out. I've got them sitting here in the stack, just ready to go. They're

Catelin: ready. It's ready for you. And just,

Rich: FYI, we are on Threads and BlueSky now. Threads is still antidote underscore 71, and BlueSky is don't allow underscores and a dash felt stupid, so it's just antidote 71.

Rich: Um,

Catelin: so

Rich: we've joined the other 1. 8 million people on BlueSky, and I don't know if we've posted anything yet. I don't think we have. Um, but we're there and you can follow us and maybe we'll start doing that at some point. Maybe we'll do something over

Catelin: there. Yeah, we'll do a training. I

Rich: know. It doesn't integrate with a lot of our tools we use to post, um, so I need to go in and look and see.

Rich: I think it might integrate with CoSchedule. We'll have to see. Um, but speaking of, uh, integrations, this has nothing to do with integrations, but our next episode is Blue Hawaii, um, which is a wonderful drink. I've had many of those in my day. We'll Um, and when you're talking about. Blue Curacao. It's one of the better ways to use it.

Rich: Yeah, it's all right. Yeah. You've got to, you. You don't want that one straight as a shot. You've got to put it with other things. Talking about last week's like gin. You got to have other flavors to balance.

Catelin: Mellow it out a little bit.

Rich: So we'll talk about Blue Hawaii and I'll talk about when I used to be able to get to Hawaii back for 99.

Rich: Uh, when I lived in San Diego, it was great. Oh yeah. It was so cheap. Um, and we're going to talk about HubSpot updates. We're excited about for Q1. Ooh, so there are some good ones. There have been, they've been rolling stuff out left and right. Sometimes it's

Catelin: a little bit hard to keep up.

Rich: Yeah, it is. Uh, which is why we have our blog, which we can share a link to next week.

Catelin: Yes.

Rich: Um, but yeah, I was in their product updates and was like looking at stuff and I'm like, opt in, opt in, opt in, request the opt in, opt in, opt in. Um, my only thing now is the, Uh, private betas that you can request to be in are filling up so fast because it's easy for people to find them. You used to never be able to find them and you had to request them through your rep.

Catelin: Because updates to the menu.

Rich: Yep. Yep. And so now people can find them. And so by the time I go request, they're like, Oh, we're full. And I'm like, uh, you know, we only wanted 50 people in this private update or private beta. Ugh. So I do have a back channel where I can go insist and demand, but I know, I know I just love a good beta.

Rich: So we'll talk about all that next week. Um, I'll see you then.