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Curious about how AI can transform your marketing strategy? AI strategist Liza Adams shares her expertise on using AI as a thought partner to elevate marketing from tactical execution to strategic innovation. She explains her GRACE framework and teaches us how to balance AI’s potential with human insight, to uncover how AI can amplify the best of your business.
Using AI as a Strategic Marketing Partner Summary
When most marketers think about AI, they immediately jump to content creation. And while AI can certainly help craft emails, social posts, and blog content, we’re barely scratching the surface of its potential. The real power of AI lies in its ability to serve as a strategic thought partner and drive business decisions.
Moving Beyond the Q&A Engine
The biggest mindset shift we need to make is stopping the treatment of AI as a sophisticated search engine. Instead of just asking questions and getting answers, we should be sharing our ideas and strategies with AI, giving it time to analyze our thinking, and using it to explore different scenarios and perspectives.
For example, if you’re seeing increased customer churn, you can present your situation to AI: “We’re seeing churn in this space, likely due to XYZ factors. We have limited budget and are considering repositioning. Here’s our thinking…” Then ask AI to assess your reasoning, provide alternative scenarios, and analyze how different stakeholders might perceive each approach.
Building Your AI Marketing Toolkit
Just as different team members bring different strengths to the table, various AI tools excel in different areas. Think of it as assembling your own “Justice League” of AI, where each platform has its own superpower:
- Claude excels at breaking down strategic conversations and considering safety implications
- ChatGPT (Plus or Enterprise) works well for direct questions and offers capabilities like custom GPTs and web search
- Perplexity shines in deep research, citing sources, and comparing different perspectives
The GRACE Framework for Better AI Interactions
To get the most out of AI as a strategic partner, use the GRACE framework:
- Goal: Define clear objectives
- Role: Specify the perspective you want AI to take
- Actions: Outline the desired outputs
- Context: Provide relevant background information
- Examples: Share samples of preferred formats or approaches
Using AI for Predictive Analysis and Strategic Planning
One of AI’s most powerful applications is analyzing customer data to predict behavior and improve product-market fit. By examining past churn rates, customer engagement patterns, and satisfaction indicators, AI can help identify:
- Which customers might churn in the next few months
- Which market segments offer the best fit for your product
- How to support customers at different satisfaction levels (green, yellow, red)
The Human Element Remains Critical
While AI can process vast amounts of data and provide consistent responses, human judgment remains essential. Data is often messy and requires cleaning and structuring before AI can effectively analyze it. Moreover, AI outputs need human oversight to verify accuracy and relevance to your specific business context.
Looking Ahead: The Growing Value of Human Skills
As AI continues to democratize technical capabilities and “IQ-based” tasks, human skills become increasingly valuable. Emotional intelligence, judgment, and the ability to provide authentic human experiences will set successful marketers apart.
The key to success isn’t just implementing AI tools—it’s using them strategically to amplify what’s working while fixing fundamental business issues. Before scaling your marketing efforts with AI, ensure you have solid product-market fit and are targeting the right customer segments. Remember: AI amplifies both good and bad decisions, so start with a strong foundation.
For marketers looking to stay ahead of the curve, the focus should be on developing AI literacy while strengthening uniquely human capabilities. The future belongs to those who can effectively partner with AI while maintaining their human edge.
The most successful marketers won’t be those who simply use AI tools—they’ll be the ones who understand how to leverage AI as a strategic partner in driving business growth and innovation.
Using AI as a Strategic Marketing Partner Episode Transcript
Rich: My next guest is an AI advisor, go-to market strategist, and fractional CMO, guiding and working with B2B businesses. With over 20 years as a senior market exec at industry leaders like Smartsheet, Juniper Networks, Pure Storage, Brocade, Level 3, and Encompass Technology, she inspires executive leadership and go-to market teams with what’s possible through real-life AI use cases.
She develops AI strategies and plans AI operations as they evolve, from exploration to integration. She focuses on helping teams deliver strategic value and drive sustainable profitability by using AI responsibly. And with over a decade of experience with AI, starting with machine learning and predictive analysis, and now generative AI, she is a recognized AI thought leader, prolific writer, and public speaker.
She was recognized as a Person to Follow in AI in 2024, and one of Pavilion’s 50 CMOs to watch in 2024 as well. She is passionate about using business as a force for good – I love that – elevating the strategic value of marketing and diversity and inclusion.
And today we’re going to be talking about AI, how you can use it as a thought partner, it’s role in predictive analysis, and how it can elevate your marketing skills from tactical to strategic with Liza Adams. Liza, welcome to the podcast.
Liza: Wow. That’s some introduction. Thank you for having me, it’s so awesome to be here, Rich.
Rich: Absolute pleasure. I loved everything you shared before, and I’m really excited to have this opportunity just to be able to speak 1-on-1 with you.
Before we dive into AI, I am just a little bit curious. How did you transition to working with some of these large tech companies to becoming a fractional CMO and AI advisor?
Liza: There’s a little bit of a story, and my transition was not exactly intentional from these really multi-billion-dollar companies, very big companies, very innovative companies in the Valley. A much, much smaller company here in Colorado found me. And honestly, Rich, I fell in love with the business.
It was an ERP and SaaS company in the beverage alcohol supply chain. So how fun is that, right? Being able to connect manufacturers to distributors and retailers. And the vision was really to digitally connect the supply chain so that we would eliminate empty shelves and product waste. Because there’s a lot of product waste in food and beverage. And the vision really was to bring this increasingly divided world over food and beverages. And I love the purpose.
So I became head of marketing at that company, and that was such a good fit. It had exceptional product market fit, it had purpose, and it felt like home to me. The culture was awesome. And I actually thought, Rich, that it was going to be my last one. I thought, five more years and I’m going to ride off into the sunset. But it wasn’t meant to be.
We were acquired about a year and a half into my tenure there, and I was actually very heartbroken. And with that, I started thinking about my post operator role and started thinking about serving on boards and found out that there are only 41 marketers on Fortune 1000 boards, and less than 3 percent of all board members, regardless of company size of marketing experience. So I was distraught, and I dug so deeply to find out why.
And there are many reasons why marketers are not on boards. But one of the biggest reasons is that we are perceived by some as tacticians rather than strategists. And I was disheartened by that because I am a strategist. Yeah, my passion is in strategy. I come from a product marketing background in deeply understating customers, and in segmentation, targeting, positioning, creating categories, those types of things.
So it happened around the time that open AI launched ChatGPT, and I saw the power of AI, in not using it, and not just using it for content creation, but actually using it as a thought partner, as something that we can use for automation and personalization, get deep insights to inform decisions. And with that, I felt like this is the gift that marketers need and go to market. And I think that’s what the market leaders need to flip the script, that we can be truly strategic about the work that we do. And when we get strategy right, the tactics and the execution gets a lot better.
So that is my journey. I am not AI first. I am first about my passions around elevating the strategic value of marketing using business as a force for good and having diverse perspectives at every table. And AI happens to put a spotlight on those and amplifies them for me.
Rich: That’s awesome. And your origin story has touched on all the major themes that I want to cover today, so that’s just absolutely beautiful.
You talked about how marketers are being seen. I think that many people still today see AI primarily as a tool for generating content. How do you see AI functioning as a thought partner for marketers? You mentioned that term ‘thought partner’, I’d love for you to dive into that a little bit.
Liza: Yeah. And this is probably one of the most underutilized use cases for AI, thinking about it not just as a question answer engine. And I can’t blame most of us. When we go into ChatGPT or Claude or Gemini, we see a very simple conversation box at the bottom, and it has some examples of potential questions that you could ask it, analyze this, create this image. It feels like something that’s just a little bit more sophisticated than a Google search.
So people would ask it questions and we would get responses. And it’s such a big behavioral or mindset shift to actually think about it as a thought partner. And when I say as a ‘thought partner’, I’m really thinking about it as, hey, you have some ideas. We as human beings, we’re creative, we’re innovative, we’re deeply thinking about a lot of things, whether it’s what segments of the market we should go after, how we should differentiate our products in the market, or how do we continue to retain our customers. Have those ideas. Share it with AI. Give it context. “We’re seeing churn in the space. As a result, we believe it’s as a result of X, Y, Z. We have limited budget. We need to reposition. Here’s our thinking about a repositioning. What do you think about this?”
And simply ask AI to assess and analyze your thinking. And probe it and say, “Give me a couple of scenarios why this would work and give me the pros and cons of that.” And begin thinking about the situation with somebody else’s perspective, AI’s perspective. And you could even say, “All right, given that situation, how might this be perceived by a decision maker, by an influencer, or by a ratifier and a user?” So now, not only am I able to get other perspectives, I now can see how it could be perceived by different people.
So that’s how I think about using AI as a thought partner. And you could use it as a thought partner for something extremely tactical or for, “Hey, I want titles for this blog post, give me the pros and cons of each one. How might each one be perceived?”, to something very strategic, “I need to make sure that my product meets the top needs of my market. Here are the different markets that we could potentially go after. Let’s evaluate each one of these markets based on their top needs and the key functionalities of my product.” Something like that, right? One’s very tactical, one’s very strategic, but in both instances, I’m collaborating with AI, sharing my thoughts, and it’s giving me feedback back to me.
Rich: So when we first started talking, I was thinking that I was going to keep the conversation as a 20,000-foot view and just touch on some of these. But as you’re talking, I am curious about if you have a favorite AI platform that you’re doing the thought leadership with, or if you bounce around?
And also, it sounds like you’re doing some sort of priming before, you’re not just opening up a ChatGPT or Claude or Perplexity, what have you, and just starting a conversation. Are you basically writing out a strategic plan or providing context into a document, and that’s how you’re starting the conversation to get better results?
Liza: Yeah. So there’s two questions there, Rich. So I’ll answer the second one first, around the framing and the conversation. Just like with any human being, let’s say I wanted to brainstorm with you, or I wanted to just have a conversation, I need to give you context. Otherwise, if I just start saying, “Hey, what do you think about my positioning?” And you’re like, who are you targeting? Who are you competing with? What’s your product? All sorts of things, right?
So I use this acronym GRACE to help me with my thinking and with my instructions for how to guide AI responsibly.
GRACE stands for ‘goal’, give it a set of goals. ‘R’ stands for a role. What is the role that you want the AI to take? Is it a marketer? Is it a CEO? Is it a customer? Whatever persona you want AI to have. The A is for ‘actions’. What kind of actions do you want it to produce?
C is for ‘context’. And context, I think, is so important. Context could be the situation, it could be the options, it could be the messaging, the persona, the product, those kinds of things.
And then E, which I love, and in not all cases do we have E, E is ‘examples’. Because when AI can see how you’ve done it before, if you have a framework, a before and after. Then it has some sort of basis from which to give you a response that kind of follows the guidelines of your examples.
So you know if you have a brand tone and voice guideline, that’s pretty comprehensive. But you might have an example of, here’s a blog that was written using our brand tone and voice. Something like that. And then now when you create, “help me create a blog, make sure it follows this format”, it follows the style, and it follows this voice. So that’s on the instruction part in using GRACE.
And then I forget now your first question.
Rich: I think the first question was, do you have a preferred platform?
Liza: Yes. I don’t have a preferred platform, but I have what I call my Justice League of AI. And I’m a big superhero fan. So for your listeners, if you’re not a superhero fan, there’s this Justice League of superheroes where it’s a group of six or seven superheroes. They have differing superpowers, highly complementary superpowers. But when you put them together and they have the same mission, they conquer the world.
So it’s got Batman and Superman, Wonder Woman, Cyborg, Flash, Aquaman. And I think about AI in the same way. And we’re actually, as humans, we’re part of the Justice League, because we have superpowers that they don’t, and AI has superpowers that we don’t.
For example, AI can process a lot of data, and they’re very consistent with responses. They always behave in the same way. In general, us as human beings, we have a weakness of we can’t always be our best selves, right? I can’t always be empathetic, or I can’t always be super collaborative, depending on what’s happening around me. Oh my gosh, my kid broke his arm in school and now I have to think about being empathetic. So that’s super hard. Or, what you said just triggered me and now I can’t respond in a very cordial way. But AI will always respond in a very specific way.
And we also have bad memories. AI tends to have better memories. But the con of that is AI doesn’t have consciousness, right? It doesn’t have emotions. It doesn’t have ethics. So our human judgment tries to overcome their weaknesses. And the reason why I start with that before I tell you which tools I use is, even in the individual tools they have, in my opinion, different superpowers.
So I use Claude. Claude is actually one of my favorites, and it’s made by Anthropic. And I believe that Claude’s superpower is really around breaking down very strategic conversations, so I use it quite a bit as a thought partner. And if I have a complex question, rather than just giving me a full response, it actually breaks it down into smaller things that we can’t address. And then we address each one.
What I also like about Claude is Anthropic has a mission around safety. So I tend to like how it thinks about potential risks to humanity. It always thinks about a responsible AI perspective in its responses to me. So that’s why I love Claude. I also just like its writing style better because it aligns better with mine and I don’t have to prompt so hard.
What I don’t like about Claude is that it can’t browse the web, at least today. I can get around it by using Perplexity, and I can explain that in a second, and then it cannot create images. If you like those things and you only have $20 a month, then Claude may not be the best one for you.
The next Justice League member of AI in my toolkit is ChatGPT. By the way, I don’t have any free versions of this, it has to be Claude Pro. The next one is ChatGPT Plus or Teams or Enterprise, because the free version just can’t perform and doesn’t even give us a sliver of its full potential. So I have both Plus and Team for ChatGPT.
And what I love about ChatGPT are the many things like custom GPTs where you can create it to do very specific tasks. You can now help your team by sharing a GPT that everybody can use. So it democratizes thinking, right? It can access the web. It now has search. It can create images.
And now we’re in the middle of 12 days of ship mess of Open AI, we just got a bunch of really cool things. New capabilities, inline editing with Canva, all sorts of things. It now has Sora that allows you to create up to 20 seconds of video. So lots of capabilities in there. And from a text perspective, I think that if you have pretty direct questions and you just want a response, ChatGPT does it super well.
Rich: Yeah.
Liza: The third one in my list is Perplexity. Perplexity is going to go straight for Google’s search market share. Today I rarely use Google anymore for search, I tend to use Perplexity. Perplexity can actually be powered by whatever AI model of your choice. So you could say, I want our Perplexity search to be powered by Google, Claude, ChatGPT, or Gemini, or something else. I pair up Perplexity with Claude, so that’s what I said, I can get around Claude’s inability to search the web through Perplexity. And I love Perplexity for deep research when you have to cite sources, where it has to browse the web and compare and contrast different things. It’s just really good at that.
And then now it is starting to incorporate e-commerce capabilities as well. So I’ve not used that portion of it, I’ve just seen it in action. But I think Perplexity is starting to move, not just into the search space, but also in e-commerce.
So those are my top three. And there’s others, there’s Napkin, there’s Napkin for graphics, NotebookLM for AI podcast, and Canva. There’s lots out there right now, but those will be tough for me.
Rich: Nice. And I just want to go back to something you had said earlier, where you said it’s a good idea to give examples also. And that’s something I’ve just started to realize recently as I’ve been doing some more fine tuning on some of my GPTs, or even just regular conversations with AI, is giving it examples of what I want and what I don’t want. And I found that can really help AI understand the context and the type of outputs that I’m looking for. So I think that’s a great piece of advice. Wish I had known that months ago.
Liza: Oh, I was just going to say the other thing that people should consider, especially if they’re using multiple tools, multiple AI’s, if one gives you an answer, feed that same answer and in context to another AI and see what it thinks about the response from the other one. So now you actually get two perspectives from two different AI’s, and you could potentially mitigate hallucinations when it starts making things up. So if one hallucinates on you, hopefully the other one catches it.
Rich: Absolutely. Moving the pace back up to 20,000 feet. So when you’re talking about the difference between marketers who approach things strategically versus tactically, and the goal should be if we want to be taken seriously is to be more in that strategic side. What are some examples that you can cite of how we might use AI to make that shift to a strategic point of view?
Liza: Yeah. And let me set a little bit of context around why that is so important in using AI strategically. I actually believe that AI will push us to become more strategic and to become more authentically human.
Because if we, for example, if we don’t have good product market fit. Meaning that we have a product that doesn’t exactly address the needs of who we’re targeting, right? It’s not a good fit, it’s not the top needs or we have an exceptional product, but we’re going after the wrong market. So it’s just bad to begin with. And we start infusing AI in all of our tactics. So we do personalized emails, we do ads, now we’re going to create a lot more content. It’s like, we’re just bombarding the wrong market with lots of stuff.
Rich: Just amplifying it, right.
Liza: So now, you know what AI actually does. AI is an amplifier, it amplifies whatever it is that you’re doing, good or bad. So if you got bad product market fit and you AI to crap out of this thing, we’ll just amplify that misalignment in the market, and it’s a faster path to failure.
So my guidance for many is if you sense that you don’t have good product market fit, and I’m picking on that use case. Why don’t we spend some of our time, not all of our time on the tactics. Some of, I understand we still need to keep the house going, but we spend some of that time using AI to ensure that we have good product market fit, that we have actually selected the right segments of the market to go after that. We actually have figured out the right persona of customer that we want to go after.
And people say how do you do that, Liza? How do you use AI to figure out the right segments or the right personas? I said, you know what? You’ve got conversations with customers. You’ve got transcripts from those conversations. You have surveys. Let’s have AI analyze this data. We also have win/loss parameters. We have from our CRM all this customer data, market insights that we can use AI to help us analyze which ones might be the best fit based on who we’re trying to go after and based on what our product does. And, use it for analytics, right? And based on that analytics, we could draw some insights to make some decisions around which one’s the best fit.
Once we do that, then we get AI the heck out of our campaigns, because we deeply know that we picked the right customer segments. We have the product that addresses their top needs, and we’re in a market where we are truly differentiated. And what we’re doing is hard to copy by anybody else. So that’s how I think about it when we fix the root cause of the problem with AI, AI will amplify the good rather than amplify the bad.
Rich: All right. Now, is that kind of in alignment with the idea of using AI for predictive analysis so that we can better understand our markets, or is that an adjacent topic?
Liza: I think it’s a similar topic because it’s also very strategic, right? We have a lot of data to see what customers are using the product more or less, which customers are engaging more or not, which customers are unhappy. There’s a lot of customer data that can infer that by using all that data and we begin to look at past churn rates, past customers that have churn and what their behavior looks like. Based on that, we can potentially predict who might potentially turn.
So we could see, oh my gosh, I have my red, yellow, green, they’re good. They’re humming along. These are perfect. Yellow, they’re starting to show signs that of dissatisfied customers. Red, we better get up, get our hands on this thing because they will turn within the next three to four weeks. And with that kind of data, AI can help us analyze that and actually put it in that red, yellow, green bucket for us. And then we can figure out how to support each one of those.
Rich: How much of this work is us being able to just take data and dump it into AI and say, help me make sense of this, help me figure out the product fit? And how much of this is us massaging that data before it’s ever entered to identify certain things like happiness or unhappiness, satisfaction, or dissatisfaction, or the size of the company?
Are we better off rhyming AI with a little bit of context from our own experience before dumping it in there, or is that unnecessary, in your opinion?
Liza: It’s such a good question and thank you for bringing it back to that. Because sometimes I talk about this as if it’s easy.
Rich: It always sounds like magic, doesn’t it?
Liza: It always sounds so easy, right? I can tell you it’s less hard with AI, but it’s not necessarily easy. And the reason why I say that is, data is always messy. I have not found any company with perfectly clean, up to date and structured data that I could just dump it into AI.
And the other part of this is, dumping it into AI also makes me nervous. Because we have to use it responsibly and we have to ensure that we’re not sharing sensitive data with AI. So techniques like redacting, or anonymizing, or making sure that we don’t provide unnecessary detail, not disclosing customer names and any private information, all sorts of things like those things need to happen.
So the biggest challenge I think in any analytics use cases where we’re feeding AI data, is cleaning the data and putting it in the format that it could be readily understood and analyzed, and the data actually reflects what we believe.
So to your point, data points is one thing, but guidance around our insights, our hypotheses, I think it’s a combination of qualitative and quantitative data that will make the results a lot more relevant to our business. And then, even when AI is done analyzing and gives us insights, we have to apply human oversight. Because we don’t know where it hallucinated along the way. We have to look at the response and see whether it makes sense for us.
Ultimately, it’s our decision as human beings, and there is no human court of law today that says that we can blame AI and put accountability on AI. It is always on us. So always human oversight is important.
Rich: Okay. Now I know that diversity in leadership is an important topic to you. And you’ve stated AI has the potential to promote diversity in business leadership. How do you see AI playing a role in creating more inclusive spaces, especially in the proverbial boardroom?
Liza: Yeah, given what I just said, that AI amplifies the good and the bad, I hope that is something that people take seriously. So it is a tool. So a tool can be used to do good, and a tool can be used to do bad. Just like a hammer can be used to build, a hammer can also be used to destroy.
So if it amplifies both the good and the bad, I hope this is a call to action for all of us, that diverse perspectives is going to be really important as AI advances. Because if we don’t have diverse perspectives considered, it will only benefit those who are represented. So it will only benefit a select few of humanity rather than all of humanity. So from at a very high level, it is more of my hope that people understand that implication of what it amplifies.
Let’s just say that people agree that’s the right premise that now it’s more about taking action to get more diverse perspectives on the table, right? So me, I highlight women as an example. There’s already data that says that women use AI 16 to 20 percent less than men. And one of the hypotheses for that is because especially for high performing women or high achieving women, there is this ‘good girl syndrome’, which really says that these women are hesitant to use AI because they’re viewing it as cheating or taking a shortcut, and it’s always best to do it the right way or the hard way.
But I contend that for a tool, no one judges us for using a calculator or Excel to do complex math. And same thing with AI. I hope that at a certain point, no one judges us for using AI as a tool to enhance our capabilities and to do better problem solving.
And my call to action to women is embrace this, right? Embrace it and be empathetic in your AI journey. Because we can’t be AI experts overnight, but by embracing AI, I think we will shrink the gap that we currently have in diversity. And we can’t afford that for that gap to be further widened just because of AI.
Rich: I hope you’re right. Because I know just as a very visual example, I was doing a presentation on AI for some real estate agents and I went into Midjourney, my favorite AI image generator, and asked for a typical real estate agent. And out of the 20 images that were created, all of them were white. And I would say 90 percent of them were men. And all of them folded their hands in front of them.
I don’t know what that was all about, but it was because AI is working off of the content we’ve already created, all the data we’ve already created. Unfortunately, there is an inherent bias in that data, and we have to be aware of this as we go forward. Especially when we’re in industries like real estate, where you have to be so careful and be so respectful. But even not, even if you’re not in one of those industries, just to be aware of what you may be putting out there, if you’re not double-checking AIs output.
I did want to ask you, as AI becomes more prevalent, what skills or attributes do you think will define the most successful marketers? How should we be preparing for this if we’re marketers and we want to be ahead of the curve, or just make sure that we continue to be relevant as AI becomes more and more part of our everyday lives?
Liza: Yeah, a couple of answers to this. I think embracing AI and AI literacy is just foundational. When we are literate, regardless of how we feel about AI, it’s just basic understanding and literacy is important. Because when we understand, we can make better decisions for ourselves, our families, our teams, our businesses, and society in general, and we are less influenced or the potential of being influenced by others who may or may not hold the same values as we do.
So I think just embracing to understand AI is really important. And adaptability and a growth mindset knowing that AI isn’t perfect, we’re not perfect. It’s trying to overcome our limitations. We need to try to overcome its limitations. So it’s truly working together with AI. And the best way, as Ethan Malik says, he’s just prolific and a brilliant mind and he says, “The best way to understand AI is to use AI.” And this is one of those things where, I don’t care if you’re an owner of a business or a CEO of a really large company, this is one where we’ve got to get our hands on it to truly understand it.
So my guidance to people is get your hands on the keyboard and just start talking to AI. The other angle that I take with this is, I do believe that as AI advances, AI will democratize IQ. And as IQ becomes more democratized, EQ, in my belief, will become more valuable. As AI democratizes capabilities, I think human judgment will become more valuable as it democratizes content and writing and creative and all those things, I think our innovation in our authentic human experiences will rise, right?
So there’s lots of content being created today. If we just use AI to create content, but we don’t infuse it with our unique experiences, our very human traits, we’re going to be in the sea of beige. And it’s going to be really hard for brands, for companies, to rise over that. And it’s going to be really hard for us to earn trust because everybody’s radars are up, right? So up for deep fakes, up for you’re just trying to catch my attention, all sorts of things.
So I honestly believe that AI will level the playing field. And our more unique human values that AI cannot replicate, cannot copy, will be the ones that will rise in the era of AI.
Rich: Love it. Great place to wrap up. Liza, if people want to learn more about you, where can we send them online?
Liza: Yeah, you can go to my website, which is growthpath.net, or follow me on LinkedIn, and it’s Liza, L I Z A, Adams.
Rich: Awesome. Thank you so much today, Liza.
Liza: Thank you so much. A pleasure being here. Thank you.
Show Notes:
Liza Adams is an AI advisor and strategist, helping to lead the charge in educating businesses in how best to leverage AI to boost profitability, all while using it responsibly. Head over to her website and check out her resources and to see how she might be able to help integrate AI responsibly into your business.
Rich Brooks is the President of flyte new media, a web design & digital marketing agency in Portland, Maine, and founder of the Agents of Change. He’s passionate about helping small businesses grow online and has put his 25+ years of experience into the book, The Lead Machine: The Small Business Guide to Digital Marketing.
You can read Rich’s post on how to use AI for better content creation here.