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Now with AI, people actually trust AI five times more than a say a Google search.
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So they're more likely to convert based on what the AI has given them.
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So we used to say Google brings you skeptics, AI brings you converters.
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You kind of have to prove yourself in the market.
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So it's not just what's on your website and what story are you telling about yourself.
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It's actually what is everyone else saying.
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At the moment, the research shows one in three searches on Google will result in a click to a website.
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So the other two, they don't actually go past Gemini's suggestions.
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So we believe that the B2B buyer has actually changed quite a lot in the last six years.
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We are seeing an increase in numbers coming from AI.
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And in fact, I think ChatGPT has recorded something like a billion searches per week.
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So that number's just going to keep on growing.
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Work is changing.
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That's not a prediction anymore.
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It's just Tuesday.
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And the leaders doing it well aren't the ones with all the answers.
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They're the ones asking better questions.
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I'm Dave Kenyon, and this is Evolving Workforce.
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Today we're doing something a little different.
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Instead of talking about workforce systems or compliance, we're talking about what AI is doing to the way businesses are being found, chosen, and trusted.
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And honestly, this might be the most immediately practical episode we've done because it affects every single organization listening, whether they know it or not.
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My guest is Joanna Ench, co-founder and head of digital strategy at Hat Media, a B2B marketing agency that works with tech and SaaS companies across Australia and globally.
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Jo has been in marketing for nearly 20 years, starting as a media buyer, fresh out of university, and building Hat Media into one of Australia's leading B2B strategy partners, winning Stevie Awards for innovation along the way.
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She also runs a hybrid team deliberately and has a lot to say about what that means for how people connect, work, and grow.
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Joe, great to have you on the podcast.
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Thanks, Dave.
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Pleasure to be here.
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Great to have you on.
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Let's talk about hat media.
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You've been running hat media for over 11 years and watched the marketing transformation completely.
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What's the biggest shift that you've seen right now?
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Oh, I have to say AI.
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I know, no brainer.
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But AI is the biggest shift because it's happening right now.
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Having said that, in the past 11 years, there have actually been a lot of shifts.
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So it's not like this is the first one.
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If I take you back to 11 years ago when we started Hat Media, it was very much a Google AdWords agency.
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We did mainly Google Ads, SEO, that kind of stuff, helped our clients get found online.
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This was back in 2008, actually, and it was the same year that Facebook launched in Australia.
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So over time we kind of had to adjust what we were doing from Google to then Facebook to then social media in general.
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And then past that, we've then HubSpot came out.
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So this thing inbound marketing and marketing automation, and you know, that was kind of the new jargon of the time.
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So we've had to adjust when we've gone through shifts as an agency quite a bit from search to marketing automation to now AI marketing.
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So lots of shifts.
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Now you talk about the internet splitting into a human internet and an agent internet.
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What does that actually mean for businesses?
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Well, there's two types of people now.
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The people that still do their own search and research.
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They don't generally use AI as much.
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So they'll still go on Google, Bing, they'll still go on socials, they'll still do their own research when it comes to choosing a business or a product or service.
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And then you've got the agent internet, which is a lot of us now are just simply asking AI, hey, you know, what is the best business for this?
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Or what is the best product for that?
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And so essentially you have the agents bringing back to the human maybe the top three results.
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Um, and hence uh you know, weeding out all the remaining research that would have historically been done by a human.
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So you've now got human versus agent, and that's essentially the split in the two different internets.
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Aaron Ross Powell Interesting.
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And I suppose, you know, when we look at, you know, well, do we need even to view websites now these days, or is it
Load full transcript
we just grab the results from from our LLM and uh and go from from there?
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At the moment, the research shows one in three um searches on Google will result in a click to a website.
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So the other two, they don't actually go past Gemini's suggestions um or even you know all the other LLM suggestions.
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And even though the LLMs will actually provide links in their um answers and their um results, however, people don't tend to click on those.
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So the zero-click acceleration at the moment is happening so much faster than what it used to be.
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It's only one in three searches that results in a click.
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So let's dig into that a little bit more.
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So I've gone on and I'm looking for a pair of new runners.
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Um I search, I get the top three runners.
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How do I then go and purchase those runners?
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Well, let me ask you a question.
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So before AI days, if you did that in Google, would you check out a few different websites?
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Yes.
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You'd maybe go to Rebel, maybe go to Nike directly.
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Yeah, yeah.
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Yeah, you do your research, right?
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And then you might even read the reviews and kind of see what m is the most visually appealing to you.
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Yeah.
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Um but you kind of make your own decision and you kind of come to somebody's websites feeling a little bit skeptical.
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So, you know, feeling like, oh, well, what did a review say about that one and what did a review say about this one?
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Now with AI, people actually trust AI five times more than a say a Google search.
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So um they're more likely to convert based on what the AI has given them.
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Um so we used to say uh Google brings you skeptics, AI brings you uh converters, basically.
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So um now you probably ask AI, hey, I need shoes that are really specific to you know this problem I'm having with my feet, and maybe you're a runner.
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So you kind of describe exactly what your personalized experience is.
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And AI will come back and say, well, for this specific experience, these are my three suggestions, and more than likely you're gonna go, great, I trust it, because I know it has gone through thousands and thousands of web searches, of details, of um you know, reviews.
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It definitely does a lot more research than what a human would, and so you do tend to trust it a lot more.
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Now, as many of our listeners are actually leaders of large workforces, um, does that apply when we're searching for business-to-business software as well?
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Absolutely, yeah.
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So it doesn't matter what you're searching for.
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What we're seeing in general is that AI is heavily trusted.
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Um and also, you know, the way people kind of interact with AI, they ask it questions, whereas with Google, they kind of put in three keyword phrases.
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Um, and so AI generally answers those questions, it gives them a lot of evidence, it cites a lot of directories.
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And so in the world of business, I mean, just in the past year, we've probably had the last three leads that we had actually came from AI.
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We've not had too many, or we've had a reduced amount come from organic search and also Google Ads.
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So um, we are seeing an increase in numbers coming from AI.
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And in fact, I think ChatGPT has recorded something like a billion searches per week.
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So that number's just gonna keep on growing.
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Wow, that's huge.
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It's just exponential, isn't it?
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Uh as we say, it's like the hockey stick.
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Yeah, not so much um, you know, just a just a 45-degree angle up, it's it's it's very fast.
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Hey, so you termed the coin prove it economy.
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Tell me what that means and what it means for leaders.
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Prove it economy, it really just comes from the way AI cites you as a business.
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So if a human is looking at your business, they're kind of making an emotional decision.
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You know, maybe they like your brand, maybe they like the colors, the logo, the way the website looks, maybe they like the pictures of the About Us team.
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You know, they think, oh, these guys look friendly.
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They love the language in which you refer to yourself as, and hence they make a decision on that.
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With AI now making the decisions for the humans and bringing them, say, the top three results, when you consider how AI makes its decisions, it's you kind of have to prove yourself in the market.
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So it's not just what's on your website and what story are you telling about yourself.
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Um, it's actually what is everyone else saying.
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So it'll look at Reddit.
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Have anyone said anything about this particular business?
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If you're in the industry of
SaaS in tech, it might look at CapTira, G2, and have a look at the reviews there.
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Um, it'll look at places like YouTube.
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Actually, it absolutely loves YouTube because, as you know, Gemini and YouTube, same company.
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Um and similarly, Reddit, Reddit and LinkedIn are the other two that it looks at and trusts quite a bit.
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So if you want to be proven in the eyes of the AI agents, um, three of the platforms you need to consider Reddit, LinkedIn, YouTube.
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Wow, that's some good intel.
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Um now, in terms of you mentioned, let's dig in a little bit more to you mentioned AI refers five times more than an organic search.
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Why is that?
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Why is it trusted more?
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Yeah.
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I think it's just because people know how smart it is.
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I mean, having used it, you're kind of going, whoa, like I can't believe it was able to produce this.
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And so we're constantly impressed by what it can do.
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I mean, sometimes we get the AI slop and it's like, oh, you know, trust start again.
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Um but in general, it does, it is quite impressive.
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It's um and you know for a fact that it it looks at countless of pages and it looks at so much research.
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So I guess that's why you trust it, just like you trust an industry expert in your field with countless years of experience, you know they've you know learnt a lot, they've um read a lot.
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It's probably the same reason why we trust AI as well.
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And I think we trust it quite a bit because if you look at year-on-year data, like from 2024 to 2025, for example, um search engine optimization clicks actually dropped by 34%, and they all went to AI, and I think that number's just gonna keep on growing.
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Wow, that's a huge drop.
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You know, there was a time there where I was thinking there's nothing that's gonna, you know, not knock off Google.
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Google seemed to absolutely dominate.
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Um and this thing really uh has come out of nowhere, really, and Google didn't see it coming either.
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No, and I think Google's actually struggled a little bit with AI.
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They were probably, from what I'm hearing from all the AI godfathers and podcasts that I listened to, I think they were one of the first that invented it, but they wanted to kind of release it in a more ethical way, whereas all the others, like open AI, just kind of unleashed it onto the world.
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Um and yeah, I can see, you know, even though it affects their Google ads, which would be their revenue, they still um prioritize Gemini and try and give you, you know, some good answers there.
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Um so Hat Media, as you mentioned, got three leads through AI Search recently.
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Um this wasn't a referral, this wasn't cold outreach.
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Um what happened when a a business comes through?
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What did they say their experience was?
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Yeah, this was actually really interesting because um normally when we get a lead from, say, a Google Ads or search engine optimization, we're able to track, we use HubSpot, so we're able to track their customer journey.
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Um so you actually see them going through a lot of pages on the website, like they'll end up on the home page, and then they'll look at some case studies, and then they'll look at the about us page.
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And it's like six pages later, they'll maybe go to the contact us page and complete the form.
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Whereas with these three AI leads, um they went to the home page, straight to the contact us page, done.
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So very small amount of time on the website.
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And we believe the reason for that is that they just trusted the AI and they thought, no need to do my own research on these guys.
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They come heavily recommended, so I'm just gonna get in touch.
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That's a very different experience, isn't it?
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Yeah.
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Very different uh a very different buyer we're seeing now in terms of a B2B buyer.
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Um now what are organizations getting wrong when it comes to adapting to the new world?
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I think a few things.
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So in our world of marketing, um we and this is not just AI, this is also COVID days.
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So uh we believe that the B2B buyer has actually changed quite a lot in the last six years since 2020.
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So I think what a lot of businesses are getting wrong, um, and I'll mainly speak about the sales and marketing teams here because that's my experience.
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But for example, um in B2B buyer groups, they're now at six to ten people that you have to uh convince and be in the deal room and talk to and influence in order to get the deal across the line.
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And this I'm referring to B2B enterprise here.
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Um but even in mid-size organizations, there's maybe four people that you need to be talking to.
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Whereas back in before 2020 days, there was maybe just one buyer, one champion that you needed to speak to.
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So I think um what sales and marketing teams are getting wrong is just focusing on that one champion and thinking that the deal might get across the line with just that one.
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Whereas in fact, you've got to convince four to six to ten, depending on how big the organization is.
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Um that's the main one, actually.
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Yeah.
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Yeah.
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Yeah, it's complex, isn't it?
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The um having that that buyer group that you've got to go after.
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Um and there's there's a lot of people and a lot of different needs that you're trying to cater to when you're marketing it to them.
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Um on Evolving Workforce, we like to play a couple of little games.
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Uh and the first one is called Human versus AI.
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Humans versus AI.
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Now you run a hybrid team, um team office, three days, and then uh it's remote the rest.
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How is AI running through your marketing operation and what should humans uh own in marketing right now and what are they genuinely comfortable handing over to AI?
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Yeah, great question.
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Um it's funny because we still think humans are so important.
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Like we would never get rid of humans uh in in place of AI, but instead what we'd love to do is empower our humans to be more productive, more efficient, and actually happier because a lot of the tasks that AI has taken over is quite like mediocre, annoying tasks, like comparing data cells in a spreadsheet, for example.
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No human loves to do that, and nor should they.
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Um AI can do that now.
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I think the other one for us specifically is um we do a lot of client reporting.
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So getting the numbers, you know, brilliant, we need to know that, we're good at getting that.
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But then it takes hours, if not days, putting together these beautiful decks to represent to the clients, which, you know, the the color of the decks is not valuable.
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However, it it does look nice, and we do like to present it quite well.
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Now AI can design those decks in 15 minutes.
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So it's taken away really time-consuming tasks, um, and it's actually freed up the humans to be more creative, more strategic, and the most important one have more time for client interactions.
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That's a really different experience then, isn't it, from what they used to do when they used to go on Google and do all the comparing.
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Uh and now
they've jumped on your website and just been to two pages.
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Pretty much, yeah.
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Wow, that's incredible.
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So, what are organizations getting it wrong when it comes to adapting to this new world?
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Um, I think it's um being too slow at adapting.
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And I I this could be a challenge for bigger organizations.
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Um, they're kind of just hoping that, you know, if you've got you're already optimized on Google, then generally AI would favor you as well.
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But we're actually seeing the opposite.
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We're seeing that AI doesn't really care much for the search engine optimization results.
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It's using completely different data sources to recommend what it recommends.
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Um, and this is great for startups and small businesses that historically couldn't compete with those larger organizations.
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Now they have a chance because if you know if they do everything right and they get their AEO in order and their AIO in order, there's a few different jargons there in marketing.
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Um but essentially if you focus on having prompts be delivered by AI to your target audience, um, that's a game changer for smaller businesses and for startups.
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And so what we're seeing with the larger organizations, the mistakes they're making, is that they're not jumping onto it, they're just kind of business as usual and hope for the best.
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Um, I think from a workforce point of view, what they're getting wrong and the mistakes they're making is that they're probably thinking that AI should be replacing humans.
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And I actually disagree with that.
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I think AI can definitely empower humans and have them do more with their time and be more productive, but I don't think they can replace humans just yet.
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So I mean you hear a lot of these tech companies, you know, making all these redundancies and then secretly they're having to rehire them back three months later.
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Um, so I think, yeah, people are kind of jumping the gun a bit too quickly on that one and not realizing that actually we do we still need humans.
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It's really interesting watching where this space is going.
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Um and you know what what you've talked about there makes me think, and and the way I'm seeing it at work as well, is it is that augmentation, it is that you know increased productivity.
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But we still need to be making the decisions.
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There still needs to be humans there to um to run to run these companies.
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Absolutely.
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So we like to play a few little games on evolving workforce, and the first one is humans versus AI.
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Now, uh you run a uh a hybrid team three days a week, uh, the rest is remote, you're obviously using AI.
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Um what should humans uh own in marketing right now and what should we let AI do?
00:19:38.960 --> 00:19:39.440
Yeah.
00:19:40.079 --> 00:20:08.319
I think AI, again, it enhances the human, it makes us more productive, it allows us to outsource those really mediocre, energy draining tasks that we just don't love to do, like comparing cells in a spreadsheet when we're looking at data, for example, or even for our for the non-designers out there, you know, using AI to design a beautiful deck for you, but you've fed it all the data and the numbers and the big picture strategy, for example.
00:20:08.559 --> 00:20:12.640
Um I think, yeah, AI should definitely be used for that.
00:20:12.799 --> 00:20:15.200
I don't think it needs to replace humans.
00:20:15.519 --> 00:20:25.279
Um and also, you know, one thing that's very important to us because we work with SAS and tech clients is ISO, security, privacy, governance.
00:20:25.440 --> 00:20:32.880
And so one of the requirements is that a human always is at the end of every single agent action.
00:20:33.039 --> 00:20:42.000
So I think, you know, the role of the human should be definitely work with AI, use it as a tool, use it like you would use any other tech and tool.
00:20:42.160 --> 00:20:52.319
However, don't let it replace your thinking, your strategic thinking, um, and also you're the one that has to quality check everything at the very end of that action.
00:20:52.480 --> 00:20:56.640
That's a must because we do know it makes mistakes and hallucinates sometimes.
00:20:56.799 --> 00:21:07.200
Um but actually in our world it's been really good because um historically, in the world of agency, um, scope creep would be a big deal for agency.
00:21:07.279 --> 00:21:15.920
So it was always that clients would be trying to get more and more and more work, which was generally out of scope, so we'd have to kind of negotiate that.
00:21:16.079 --> 00:21:27.039
Whereas now, because we are so productive and efficient, we're actually going to clients and offering, like, we're going to do this for you, even though it's not in the scope, because we've got extra time.
00:21:27.359 --> 00:21:35.599
So it's been a game changer and it's really allowed us to give more service, give more value, and grow that relationship with our clients.
00:21:35.680 --> 00:21:37.759
And I think that's how businesses should be using it.
00:21:38.160 --> 00:21:40.000
Yeah, that's great that you're able to do that, Joe.
00:21:40.079 --> 00:21:43.200
And I think it's also a testament to you at Hat Media.
00:21:43.279 --> 00:21:51.440
Um, bit of a plug there for you and full disclosure, we do use you as our
marketing agency, and uh you've been amazing.
00:21:51.680 --> 00:21:58.720
Thanks, um, but I think that's also you know speaks speaks to the uh competency that you've got there as well.
00:21:58.880 --> 00:21:59.759
Hey, uh our next.
00:22:00.000 --> 00:22:01.920
This little game is Change Your Mind.
00:22:02.079 --> 00:22:08.480
Now you almost landed on hybrid by accident, but I think it was before COVID, wasn't it, that you landed on it.
00:22:08.799 --> 00:22:15.039
What have you genuinely learned about this and the balance should look like, particularly for younger people starting out?
00:22:15.359 --> 00:22:15.759
Absolutely.
00:22:15.839 --> 00:22:20.559
I think if there's one thing COVID delivered as a positive, it's the hybrid work situation.
00:22:21.599 --> 00:22:31.279
Because I mean it's it's so good for, say, parents, for example, but also just for people in general that already have that experience, that expertise.
00:22:31.359 --> 00:22:32.640
They know what they need to do.
00:22:32.720 --> 00:22:41.599
So maybe having one to two days where they're working from home just allows them to feel like they're getting that work-life balance, which is really important.
00:22:42.160 --> 00:22:47.039
I mean, it allows parents to collect their kids from school and then get back to work, perhaps.
00:22:47.279 --> 00:22:51.359
It allows us to do our laundry whilst we're working at the same time.
00:22:51.519 --> 00:22:54.400
So I think it's really made our life more efficient.
00:22:54.559 --> 00:23:02.480
And I actually hear from so many people, they say, I'm actually more productive at home than in the office, because in the office I'm always always chatting to everybody.
00:23:03.039 --> 00:23:12.400
So I think having that hybrid environment allows people to one feel that work-life balance and actually feel happy working for that company.
00:23:12.559 --> 00:23:18.079
And two, coming into the office and still having that learning and collaborative environment.
00:23:18.240 --> 00:23:20.640
So I mean, hybrid's been amazing.
00:23:20.720 --> 00:23:22.880
I I think every organization should do it.
00:23:23.039 --> 00:23:28.640
I think for companies that are saying you must come in five days a week, they're just going to lose the best people.
00:23:29.200 --> 00:23:30.000
I totally agree.
00:23:30.160 --> 00:23:32.720
Hybrid has been amazing.
00:23:32.960 --> 00:23:36.160
So the last game is called a prediction and a warning.
00:23:36.240 --> 00:23:37.359
One prediction, one warning.
00:23:37.519 --> 00:23:40.160
What prediction do you have in terms of marketing and AI?
00:23:40.480 --> 00:23:43.759
Oh, I might cheat and steal Gartner's one.
00:23:44.640 --> 00:23:48.079
Because it's so hard to predict AI and where it might go.
00:23:48.240 --> 00:23:53.759
But Gartner actually thinks that AI is going to take 25% of SEO's traffic.
00:23:54.079 --> 00:23:57.200
At the moment, um, I think it's quite small.
00:23:57.440 --> 00:24:02.640
So a lot
of businesses are reporting that the traffic that they get from AI is 1%.
00:24:03.519 --> 00:24:09.839
I think that's going to turn into 25% for the good ones that are actually cited by AI.
00:24:10.000 --> 00:24:13.359
So I'm going to steal that prediction and say that's where it's headed.
00:24:13.519 --> 00:24:23.839
I think more and more people are going to use AI and AI agents to discover things, find businesses, find products, and just trust it more in general.
00:24:24.079 --> 00:24:25.200
So that's it.
00:24:26.160 --> 00:24:28.640
And one warning for the future.
00:24:29.200 --> 00:24:36.319
The warning would be to every organization hoping this kind of quietly goes away, it's not going to.
00:24:37.279 --> 00:24:44.160
Unfortunately, you know, there's a there's a lot of hype about it, but I also think, you know, people aren't going to stop using it.
00:24:44.240 --> 00:24:47.279
And if anything, more and more people will start using it.
00:24:47.519 --> 00:24:52.720
If we look at the way people adopt technology, you of course have your innovators and early adopters.
00:24:52.880 --> 00:24:56.160
And then you have the mainstream, which I think is where we're at right now.
00:24:56.319 --> 00:24:57.680
We're in the mainstream.
00:24:57.920 --> 00:25:02.079
And um, what's about to happen is all the laggards are gonna start using it.
00:25:02.319 --> 00:25:04.559
I mean, my my parents have started using it now.
00:25:04.720 --> 00:25:08.720
My dad sends me all this research on Chat GPT, and I'm like, I know.
00:25:10.079 --> 00:25:16.799
Um so I think in time you're just gonna see way more consumption and adoption and usage.
00:25:16.960 --> 00:25:34.319
And so the warning would be: anyone out there that hasn't done an AEO audit just yet and doesn't quite understand or know how AIs are looking at your business, um, absolutely get started right now because you'll be left behind otherwise.
00:25:34.880 --> 00:25:38.000
Now we should just talk about the acronyms that we've used in these podcasts.
00:25:38.319 --> 00:25:38.400
Yes.
00:25:38.720 --> 00:25:40.880
AEO, AIO, SEO.
00:25:41.359 --> 00:25:41.599
Mm-hmm.
00:25:41.759 --> 00:25:44.559
So SEO, as you know, is search engine optimization.
00:25:44.720 --> 00:25:46.799
I think most businesses understand that one.
00:25:46.960 --> 00:25:54.079
The new ones actually AEO was coined by HubSpot, and it's answer engine optimization.
00:25:54.240 --> 00:25:59.759
And then AIO is really just a spin on SEO, but using AI optimization.
00:26:00.000 --> 00:26:03.920
So excuse the jargon, I am in the world of marketing, I can't help it.
00:26:04.960 --> 00:26:07.200
Yeah, it's very easy to fall into it.
00:26:07.279 --> 00:26:19.359
Um so tell me, what do leaders need to know about marketing and AI that uh from this podcast that we should really be covering that you haven't covered as yet?
00:26:19.759 --> 00:26:20.000
Yeah.
00:26:20.319 --> 00:26:32.720
I think leaders in general that have a team underneath them and that are encouraging their workforce to be using AI, what we're seeing is that a lot of leaders are doing that.
00:26:32.880 --> 00:26:37.920
They are actually saying, hey, everyone should be using AI and um, you know, go for it.
00:26:38.240 --> 00:26:51.519
But what they're not doing is actually creating KPIs around it and actually creating specific courses and giving their employees time to take those courses around AI.
00:26:51.680 --> 00:26:56.240
Uh I think they're kind of just saying, yep, we're pro-AI and they're hoping for the best.
00:26:56.319 --> 00:27:01.920
And um I know some of the biggest organizations and banks are even guilty of this.
00:27:02.000 --> 00:27:11.359
They kind of they're pro-AI, but they do nothing around um training or coaching or you know, providing the time for their employees to do that.
00:27:11.680 --> 00:27:14.640
We've started, we've started to shift that at Hat Media.
00:27:14.720 --> 00:27:25.279
We now have you know an hour a week Wednesday morning where we just want you to look at you know Claude's Academy, for example, and just learn something in AI that you don't already know.
00:27:25.519 --> 00:27:27.599
So we think it's um, yeah.
00:27:27.759 --> 00:27:42.319
I my message to leaders would be that like have a plan, have a strategy, have some goals and KPIs, make it a fun and make it into a game, you know, like you would with your salespeople, where you you know you've got to hit specific sales targets.
00:27:42.480 --> 00:27:51.279
Um actually, I think one of the board level metrics to come would be how are we being found by AI agents?
00:27:51.440 --> 00:27:54.559
So um, yeah, I think that's one to look out for.
00:27:54.960 --> 00:27:55.839
That's a great message.
00:27:56.000 --> 00:27:59.200
Well, thank you so much, Joe, for being on Evolving Workforce.
00:27:59.359 --> 00:28:05.759
Some terrific insights and some really interesting stuff for us to look out for um to come.
00:28:05.920 --> 00:28:10.480
Uh, and perhaps we'll be having a very different conversation maybe in a year or so.
00:28:11.119 --> 00:28:11.759
Look forward to it.
00:28:11.839 --> 00:28:12.640
Thanks for having me, Dave.
00:28:13.200 --> 00:28:13.839
Thank you very much, Joe.
00:28:14.000 --> 00:28:14.240
See ya.
00:28:14.319 --> 00:28:14.559
Bye bye.
00:28:37.599 --> 00:28:39.359
Delivering new certainty.
00:28:39.599 --> 00:28:42.559
This podcast was recorded on the land of the Gadigal people.
00:28:42.880 --> 00:28:46.640
If you enjoyed this podcast, why not send to a friend or a colleague?
00:28:46.880 --> 00:28:54.480
And remember to hit follow on your podcast player to get every episode as they drop every Wednesday.
00:28:54.799 --> 00:28:55.680
Thanks for listening.
00:28:55.759 --> 00:28:59.200
I've been Dave Kenyon, and this is Evolving Workforce.