EP415: How to Get Your E-Commerce Brand Cited by AI | Brett Farmiloe

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This is the High Voltage Business Builders podcast, daily intelligence for serious e-commerce portfolio builders across Amazon, TikTok Shop, Shopify, Walmart, and every channel that moves the needle. Neil Toit and his Voltage team all day, every day since 2012. Let's get into it. Hey folks, welcome back to the High Voltage Business Builders podcast. Before we bring in today's guests, I want you guys to make sure you caught this morning's episode to Rob. It was episode 401. We were talking about the multi-channel launch that Amazon brought to the table last week during Amazon Accelerate. Big deal. What it means for your FBA inventory in Walmart, TikTok Shop, other places. Go to voltagedm.substack.com or voltagedm.com forward slash podcast if you want to check that out at any location. If you want to grab our newsletter, we have about 8,000 subscribers. It's free. It goes out every day at voltagedm.com forward slash newsletter where all those tactical things go to market every day from the trenches of operating multiple brands. Today I'm sitting with Brett Farmilow and we're going to go over a guy who's been featured across the webs from PR to co-pilot other places. He's behind Harlan Connectivity and his brand and media side. He's had hundreds of thousands of users across those brands. We're going to get in that today. He's going to talk about connecting AI to your systems, branding, post-ready stories, content that really lives in what we call the PRQ. We're going to go over all those things today. Then obviously just going deeper into earned media, AI visibility, and well, how e-commerce operators can get featured on purpose. So Brett, welcome to the call, brother. Yeah. Thanks for having me. That was a mouthful. Did I miss anything? That's a lot. We got a lot to cover. Okay. Let's unpack that. Tell me more about yourself, where you're going. What does that mean to somebody listening today who's an e-commerce operator? Yeah. So Brett Farmilow, founder of Featured. We own and operate three brands, Featured.com, Connectively, and Helper Reporter Out. All of these platforms essentially help you with earned media and AI visibility. So you could share your knowledge and get rewarded by being featured in the media. So my backstory is ran a marketing agency for 10 years, sold it at the end of 2021, and have been at this for almost five years now. So just hitting our stride. So you should be a lot older with gray hair or gray beard. I mean, five years in the e-com world makes you feel like you're 60 these days. Yeah. So it's happening really, really fast right now. Everything's going quick. Yeah. Earned media. That's a phrase not everybody may be familiar with. Can you explain that for a little bit? Yeah. So getting featured, there's a variety of ways that you could do it. Earned media is essentially earning your placement. So it's pitching a journalist. It's trying to earn your way in an organic sense. You're not paying for placement and you're appearing organically within a story versus a paid placement. Okay. So a paid placement is maybe you reach out to the publisher and you pay for a placement within an article or you sponsor an article, something along those lines. Okay. And what kind of places do those go out to? Like if you're doing something like that, where does it end up? So there's over 2,500 publishers who look to connectively for content. There's about 65,000 journalists that use Help a Reporter Out. And these are from the business publications that you've heard of, whether that's Fortune and Fast Company, Inc., all the way down to the news publications, which are definitely having its moment right now with AI visibility as AI engines index these mom-and-pop blogs that might not necessarily be on everyone's media list. Yeah. So really getting you some real public exposure, which if I understand it in terms, anything published out there is also a eugenic, right? It could be citations, it could be topical things that end up with questions and answers in engines, ChatGTB, Gemini, et cetera. Is that a correct understanding? Yeah, exactly. So it's about... So back in the day, I grew up in the SEO type... Yeah, that was like yesterday, man. Now you're starting to date yourself, bro. Totally. Yeah. So it was about getting on page one, and now it's about getting cited by AI and part of the answer that's being recommended, and that's a whole new ballgame that very frankly feels like the very, very early days of SEO, where you try a tactic and it works and it's like so easy. One of the tactics that's happening right now is you could post on LinkedIn and in your very first sentence have the thing that you want to be cited for, and then in 24 hours, it's being cited by AI answer summaries. That's not going to last. So you mean like a link goes in that top half? Like if it had a link to reference some sort of thing? Not necessarily. Here's an example. Sure. So if I wanted to optimize for how to find success for help a reporter out, I could go to my LinkedIn and say, here's how to find success on help a reporter out, and then here's my four tips. That's a cheat code, man. You're giving away gold, dude. I'm like writing this down. And I share it because by the time anyone starts to go post on LinkedIn, like it's over. And that's the type of age that we're living in with AI visibility now is back in the day with SEO, you could probably populate your page, your webpage with like a bunch of keywords and appear on page one of Google overnight. It's the same thing that's true now. There's all these different hacks that are, are surfacing and ultimately the market's going to get to a place where it's going to be based off of your brand and how well your brand is known and cited across, across the web. And it'll be harder to manipulate right now. There's a lot of different tried and true tactics that are getting brands featured. Yeah. Well, Hey guys, if you're listening to this, go do it right now. Post on your LinkedIn, take a screenshot and send it back to me. I want to see what happens. So if you're, if you've got a brand and you want to do that, go to LinkedIn and try that out. I'd be curious. So guys message me back in the comments, whatever, let me know if that works. So that is a citation that lasts for a certain amount of time, or is that actually a continued indexing of somebody asking that question or wanting information, you know, through those agents continuously from that point on. Yeah. Here's what we're seeing is, is that AI citations can pop like fireworks in the first 24 hours. So whether that's a LinkedIn post, whether that's a press release that you're sending out there, the key is consistency. You have to show up every single week within that brand category that you want visibility for and continuously top talk about that topic. This is the hard part is if you want a magic trick or whatever, you can, you know, do the LinkedIn posts. You could send out a press release, you could get cited, but to have consistency, you need to be consistent. Yeah. And to have a systemized aspect, like anything, right. To talk to your audience, ask questions, answer questions, you know, give information around a specific topic or whatever that continues to reinforce the product value, the benefit driven aspect of that language. And obviously, as I would know it, and I'm sure you're better expert this than I am, it is the things that they're most interested in, in terms of the persona of the kind of person who's using the product, right? Can we talk a little bit about personas, because I don't know that everybody truly understands how that's working. And not just the AEO, but the press and the information and the ability to have that conversation that people are not necessarily understanding the way the engines are defining that today. Yeah. I mean, that's, that's great that you brought up personas, because what's, what's the problem that we're looking to solve here? It's getting in front of your customers, like you have to get a product or service in front of your customers. So they purchase. So where, who, who's your customer first? And where does your customer hang out? And then how do you get in those places? And so if you're looking to get in front of a customer, maybe they're reading certain publications and you need to target the journalists that write for those publications or for the publication itself. Or maybe they're listening to podcasts and they're tuning in to specific podcasts and you want to be a guest on that show so that you're cited in those places. And I think that AI engines are going to get smarter and smarter to figure out, okay, who is this persona? Because now everything is so specialized. Everyone turns to Claude or Chachapiti and, and it knows them and it knows what kind of information that they want to consume and what, where are they consuming that information? And so if you're, basically, if you're looking to target your ICPs, how do you show up in all of the places, almost like a checklist, if you will, that those ICPs are tuning in to? ICP for those who are listening? The ideal customer profile. Ideal customer profile. I'm going to use an acronym out in case somebody's like, what's an ICP? Ideal customer profile. Those who are the highest intent to buy as fast from you as possible. Like we joke around Amazon, our perfect ICP is someone who buys something from us in 30 seconds or less. They have a pre-stripe notion. They understood what the product is about. They've got the information. They fit one of the personas. When they land on a platform, they're like, that's the one I was looking for. And they can do it in 30 seconds or less, right? That is a target audience of understanding. But the engines are smarter than us, aren't they? They really know how much information and data is about a particular customer type for a category, product, or outcome. Don't they? I mean, that's the whole thing they're kind of engineered to do for some degree. It's a predictive model. So I think that there's, I mean, there's a ton of data that goes into the predictions. And I think that, yeah, it is getting to the point where it's surpassing the intelligence levels that we have in terms of recommendations and what it's able to generate. So yeah, I think it's a super interesting time where if you look at the entire web and you look at all the different citations that are adding up, how does that actually get into the recommendation, the personalization, and how customers are discovering brands and products. And once upon a time, that was Reddit up until what, June, I think, or March, maybe, when it completely got obliterated. Yeah. The news with Reddit was, you know, it was, and who knows, it could rebound. But the news with Reddit is that overnight, I think that citations dropped to over 80%. So all of the Reddit marketing that was going into increasing your AI visibility all of a sudden didn't work. And that's what I mean in that we're so early in terms of how AI visibility works, you know, because one day Reddit could be great. And I'd say that there's a maybe because maybe that's just a financial thing. Like maybe Reddit had some contract with one of these AI companies, and then it was a negotiation leveraging power to say, oh, well, if you don't want to renew, guess what's going to happen? And, you know. Right. It got totally jacked. We're watching this pivot, and you're right. It's so early that we're seeing the alignment, definitely at the corporate level. We're seeing things like Walmart, which just, you know, this year not only got its first real e-com based CEO, but they did a deal with, you know, ChatGTP right out of the gate. Like everything's open AI and Walmart listings and stuff are now being found intentionally in that. Now, last week it was Amazon Accelerate where I was there in Seattle, and it was, you know, Anthropic CTO on the stage announcing their partnership with Anthropic, right? So now we're seeing these like war chests being built, these, you know, castles are being stood up. You're seeing how they're playing with each other or not playing with each other. And that is just, I mean, it really is early stage. It really is. And that's where it gets difficult in this. And I know you're at the trenches level, so you probably see a lot more than I do. But and that's what I want to get out of you here today as much as we can without taking trade secrets, of course. But really understanding that that is very fluid, I guess, is what I'm trying to get to. Yeah. Yeah, definitely. It's very much try, test, try, test, fail. And then this is such a new area that many people were doing this during the SEO days. And I watched it occur. And in some cases, I was kind of disappointed that I didn't stick it out longer because it took so long. Right. And I think and correct me if I'm wrong, what we're seeing today is things pivot with AI so much faster. They're moving so much quicker because it's not just us waiting for the systems to learn about our product or ICP and move the product. They know enough about it that when they want to find out where it's going, it can move extremely fast, which can be easier or more difficult. Right. So maybe give me some insights into your thoughts on that. Yeah, absolutely. I think that so. All right. If if everything's not certain and everything's kind of up in the air, what does a founder do in terms of AI? Exactly. What's what's the approach? And so I think step one is is doing a basic audit. What's working? What's being cited? What are the publications that that are being cited? Where are your competitors ultimately appearing? So if you do an audit, now you have a baseline on where to focus. And so now you have the where to focus aspect. So how do you get into those different publications? Is that it is an article that that is being cited and you want to list your product in that article? Well, you've got to find a way in there to say, all right, I need to pitch the journalist with a new angle. I need to pay for placement into into that article, whatever it is. And then step three is really around executed and measuring. So now that you've gotten into that article, is it actually moving the needle? Is it actually still being cited? And are you seeing an influx of buyers now come to your site as a result of that? So you've got to audit it, you've got to figure out a way, and then you ultimately have to measure it. Yeah, the citations are relative to the kind of content you put out to sort of my press release and blog releases and LinkedIn posts, and I'm sure a myriad of other content types that a creator could put out. And I can hear heads exploding on this podcast right now. For people who are like, I don't want to write blogs, I don't know, understand what's a press release, or I don't know, I know about press releases, but I have nowhere to go get them. What are like, I know there's a lot to unpack here, you gave us a LinkedIn tip, maybe you're willing, maybe I can pull one more out of you for somebody who's like, brain is exploding right now. Yeah, some activity they can do, maybe go do their LinkedIn post thing. Let's go try that. Let's see what happens, guys. But what's another thing that they should look as more evergreen? Like should they be doing daily blog posts? Should they be doing weekly blog posts? Should they be doing daily or weekly press releases? Or is there something else that kind of they can look at today and say, OK, I can go get traction on this? I guess the good news and the bad news is that owned media, all the blog posts that you're putting out on your website, all the LinkedIn posts that you're putting out there, anything that you have a direct access to post on really doesn't get cited that much. So we did a big GEO study and generative engine optimization study. There was about 405 GEO audits conducted on featured.com, which we analyzed over 22,000 citations to figure out what gets cited. And so we found that about 67% of all citations came from earned media and about 1.4% of citations came from brand owned content. No doubt. So that's a lot. So well, it's yeah, it's a big gap in terms of what gets cited. So basically, what's the reasoning behind this? Well, AI needs to be able to trust the source. And if you have a trusted publication that has 100 years of history, now that's a good place to essentially trust that citation. So that's why you see that 67% of AI citations are earned media, while 1.4% of it is brand owned. So if you're going to focus your efforts, it's getting into the publications that have the visibility and the authority. They have the already established historical authority of their, I'm going to assume to main authority, you know, historical documentation enough that the engine was fed all their content so it knows where they stand and how they stand across different categories and topics. And so LinkedIn, for example, having that historical relevancy. And I can take this one step deeper in terms of what's happening on the other end, lift the curtain, what's happening for a publisher on the side. And so the publisher, you know, they have commerce content editors and commerce content editors are essentially in charge of all of the content that recommends affiliate links. So how does a publisher monetize from commerce content? They essentially recommend the products. So it's the top five, you know, whatever, and then they list the five products, they have the affiliate links within that product or within that post, and then they monetize based off those affiliate links. And so these commerce content editors are continuously looking for new revenue generating opportunities. And so this is a way that you could step in and help them do their job to essentially say, hey, here's this gap. If you want the CEO operator blueprint, join Neil Twa, CEO of Voltage, on the next live workshop. He goes over the five steps to building generational wealth through almost automated income with FBA. Save your seat at VoltageDM.com slash AI workshop. And now back to the podcast. That might exist on the site, you should really do a post about XYZ, your product category, and then be able to approach them with an affiliate link to allow them to monetize. So that's one way, or maybe there's a existing post that already ranks well, that you could essentially add your product to, again, with your affiliate link to allow them to monetize and earn more based off their current inventory. So you really have to think of how do publishers make money? How does this commerce content editor, what's their job? And it's really revenue generation, and then how can you help them earn more? Yeah, no, these are great tips, man. I hope people are writing this down and pay attention because you're dropping some bombs here. There's a lot of things that people, you know, we jokingly say, ask mask activity as productivity. So they go out and they do the things they thought would work two or three years ago. And we're nowhere near that now. And at 1.4%, you shouldn't be blogging on your own blogs anymore, right? It's a 67% measurement of that size of a study. You need to be out there with the earned media content. You need to be finding ways to get into those. Yeah, not to confuse everyone here, but that stuff still matters too. Oh, it does. You said it does. Yeah. Well, and even if it's not being cited, it is still being the source of truth. It's still indexing a source of truth. Yes. Very good catch. So if a publication is citing a stat, then that stat has to exist on your website somewhere too. And so even if they're not citing your website, it is the reason why they're able to cite the other source because they corroborated it with your single source of truth on your press room, on your blog, whatever your earned media looks like. Very good catch. OK, that's great. Now, it's good to make sure we keep the integrity behind the conversation and make sure we draw people in the right way. So just pivoting backwards real quick. You're obviously in Scottsdale, as you mentioned earlier, but where did you get this? Where'd you start this? Like, how did you get in? Were you a media buyer? I mean, you're on your own brands. We talked about that, right? Yeah, I think I've just been an entrepreneur. So, you know, going all the way back, one of my first businesses was a career education website. And I basically traveled around the country with a few buddies in an RV and interviewed people about their career paths and put those stories on a website for college students to learn from. And the thing that I learned from that is that everyone needs a meaningful outlet to share their expertise and experience. And so that's kind of how I got to, you know, founding Featured.com, to running Connectively.us, to running Helper Reporter Out. All of them are platforms where you could share your knowledge and get rewarded. And that's really, you know, what we're out to do is to democratize thought leadership. And as a result of that, help people build up their visibility. So Featured is actually a toolset, an API, MCP Connected toolset that helps you find all the different domain authority assets, the earned media assets that you can use for your own product or brand, right? Featured is a PR co-pilot that helps you identify earned media opportunities and act on those opportunities. So this is anything from finding podcasts to pitch to finding journalist requests to respond to, to finding publications that will accept byline articles, tracking your media mentions, doing a GEO audit. It's essentially your all-in-one PR tool. That's amazing. Featured.com, go check it out. It'll be in the show notes below as well. If it's something that you need support on, if you don't know where to start, that's a great place to go. Get your feet wet and get started. Where are you taking that? What's your ultimate agenda as an owner of that business? So the thing that is happening just broadly in the world is that there's an AI for everything. There's an AI for legal, and that's Harvey. There's an AI for finance, and that's Hebbia. There's not an AI for PR, and we want that to be featured. And so the reason why this doesn't exist, it goes back to data. We talked about this a little bit earlier where the CTO of Anthropics announced in a big data partnership, the base models don't have the data for all of these earned media opportunities. They all sit behind closed walls. And so that's essentially why something like Featured needs to exist. And that's also, for your listeners, what is unique about your PR efforts is your data. You have all this different data around best-selling products or different product trends around your certain categories. And so the thing that is going to help your audience win in PR is taking that data, packaging it in an interesting way for public relations, and then essentially promoting it and sharing it and repackaging it and purposing it on a podcast or a press release. So I think that if I were running a e-commerce store today, the very first thing that I would do is look at my data, make it interesting, and then market it. Yeah, yeah, you make that sound so easy. And then as an activity of marketing, sales just magically appear. And, you know, everybody gets what they want. I wish it worked that way, but, you know, there are processes and places, you know, for everybody here. And I can see where this makes a huge difference. So if I heard you correctly, I'm going to summarize this in my own terms, if you will. But, you know, data goes in from your own information, your systems, your, you know, Shopify, your blog, your content for your ICP into a system that kind of takes that information and says, here are journalists' requests, here's PR requests, here's things that you can do with this information that can be packaged up and submitted out to those locations, acting as sort of a bridge, if you will, to all those different places that you guys have spent the years combining together. Yeah, really just breaking this down into a tactical thing. It's saying, okay, hey, here's some of our e-commerce data. Go make this an interesting PR package. And then you could take that PR package, put it into Featured and say, go find me media opportunities to take this package and to help me build my visibility. And so you can now take this data, use the power of AI to make that data interesting from a journalist's perspective, then use Featured to connect that data with media opportunities, and then just walk through that door. Love it. Let's say I'm a single channel right now, I have an Amazon-only channel, hypothetically, or I have a Shopify-only channel. Is there restrictions or limitations to what I would do there? Or is it kind of like you start single channel, you move omni-channel and just keep expanding? Yeah, whether you're a single channel or omni-channel, I think that it just goes back to what data do you have to work with and how do you then make that interesting and how do you lead that back to the call to action? Like, if you're now featured in a press release, what's the call to action and where do people go back to? So as long as you have that home that you're marketing, then I think that it's the same kind of approach and formula. Awesome. So I got a personal question for you. What's your why? Why do you do this? Why do you get up every day? What makes you excited? Yeah, it's going back to the RV. So it's when I was traveling around and interviewing a fainting goat farmer in Tennessee who has just an incredible story to share but nowhere to share it. That's the why. Is how do you give everyone the microphone that deserves it? Because people are out there grinding for 20 years and never get to be on a podcast, never have their kid ask them what they've learned, all those different things. So if you come along with the right opportunity, the right question to really activate that knowledge, that's what drives me every day. Awesome. And I assume you're using it in your own brand. You're the cobbler who gets his own shoes, right? Trying, yeah. It's always hard, right? Well, after doing the marketing agency for 10 years, you're always the last client, the last person that gets attention. And with Featured, now it's a little easier because you're able to run these automations and have your PR assistant essentially identify the opportunities and save all the time that used to be spent identifying the right things. So it's a little easier these days. I'd say it's probably one of the most critical verticals we have an opportunity for outside of maybe paid media ramping up in 2008. I think paid media after 2008 was a huge opportunity with Google and Facebook and everything for people to really get down in the SMB or individual side and reach an audience of millions to billions of people they didn't have access to. But I think in personal terms, and maybe you agree, is that the shift is the paid media has gotten so expensive that the opportunities for organic and citations and true connectivity with your audience is now an opportunity AI presents at a level that we haven't seen since the dawn of the internet. And I was there for that. So that was a fun time. Man, I remember the 2008 days. That was some good getting right there. Yeah, it was, dude. But I could almost not miss. Yeah, I think that, you know, the graph that I always use when I was when I was doing the SEO agency was that, you know, you start up up here with the paid and you start down here with the organic. And you've essentially got to build up. And as that build up happens with organic, your paid gradually decreases and you get to this optimal level. But it doesn't start, it doesn't start optimal. You know, you got to go high paid and low organic. And then yeah, back in the day, you would die on the vine if you were just waiting for SEO to show up enough traffic. To actually monetize. So paid traffic, you know, got into that and got really experienced at it. Because once you do that right, it can scale very fast. But it's also hard to forget the work that needs to go into the organic side to reach people where they are. And, you know, we leverage platforms to do that for a while. Platforms like Amazon and, you know, now Walmart and TikTok shop and stuff where there's a lot of platform based conversation happening there that does drive that organic traffic through. But, you know, we don't control that per se. That's their platform. And that's the dream. Yeah, ultimately. That's the dream. Like, you know, when I did my marketing agency, I never wanted to start a company, but I started to rank for the term digital marketing company on page one of Google. And that drove the business up to acquisition. Like, and then post acquisition, you know, the acquirer was able to continuously get new leads because it maintained that search ranking. So yeah, when organic works, it works. Well, that's a great segue to the last kind of part we normally talk about here is, you know, that exit component. I was hinting at it a little bit where your future is kind of headed. You know, that is always the, I'd say the pinnacle of a great business operation is one in which someone wants to acquire it on the way up. You know, through an exit strategy that really sees a trajectory that can grow beyond you. You know, you obviously can have the cash out, maybe even a generational wealth opportunity. Go on and do more passion projects than daily weekly projects that we, you know, struggle through for so long. I think that's the ultimate opportunity. And any brand or business or service is to build it up to an exit. Would you agree or disagree with that? I think that it depends on the, almost the funding source. Yeah, okay. The buyer, that's an interesting way to say it, yeah. Well, not even the buyer, but like, so, you know, our company is venture backed. So yeah, an exit has to happen within, you know, 7 to 10 years of taking that initial funding. Otherwise, your investors don't get their payback. Yeah, the long-term investments. Yeah, the business formation of it and how a business is funded is critical to knowing what that exit looks like. Where if you're a bootstrap, you could stay in it as long as you want. You know, if you're the sole funder of it, you could do this as, you know, 20 years if you wanted to. So I think that that ultimately has a say. The beginning of the story has a say in the end of that company's story too. Well, as your VC backed, as you mentioned, then you have a plan in mind. It's backed by your investors with their strategic goals and their investment strategies. You know, that would obviously be different for the individual or somebody who gets moving later on and decides what they do or don't want to do. We're always building with the idea that the exit is in mind. And that's just kind of more of a strategy cash flow along the way. But of course, you know, build that up and exit it out. Let somebody else take the reins of that later on. It's just different strategies. And I think for me, it was when I sold my previous company, it was bootstrapped. I was sole funder. And it was for me, it was 10 years. That 10-year mark is a magic mark. When I talk to business owners and you've been doing something for 10 years, you're like, all right, I'm ready for a change. And for me personally, at that 10-year mark, it was time. But it also was a great opportunity to focus on what was next and where the opportunity that I saw. And timing was right. You know, about, I don't know, 10 months after, we kind of had that GPT-3 moment of A.I. is here. And it launched this whole new, you know, chapter that we could enter in. And it's new, right? We're talking about 2024. So we're just coming up on a two-year anniversary of what really has shifted. So we're just in the early, early, early stages. And it's funny that you say 2024. I remember it as 2022. Well, some of us were in it earlier, but the massive component of even recognizing that this was 2024, September 2024, which was Anthropic. So it really, two years before that, we were playing with models that weren't as advanced. I was, it sounds like you were too, as I was just cutting my teeth on it. So really, yeah, I'm four years, you're four years. That's awesome. Into the trenches of understanding how this works, where it goes, and what the possibilities of it are. Personally, I got involved in it at IBM way back in the day when we were doing machine language learning. Semantic-based artificial intelligence on the Watson computer at IBM. And we were playing with those machines up until 2007 when I left. So it's an advanced place that I don't think most of us even realize how much more advanced it is than the models we're playing with right now. And those are getting more advanced too. I mean, this week was big, right? Or just last week was big. We got, you know, Grop 4.7. We got 5.5 on the GPT side. We got Astra 6 now. And these, it seems like every week, those models are advancing faster and faster. Every hour. It feels like it. It feels like it. Because they're developing themselves now. So they're literally rolling themselves out faster and faster, which is quite incredible. And everyone's like a new model that comes out. But yeah, it's definitely a frontier, no doubt. Anything we didn't bring up, Brett, on the call that you want to jam on real quick? You know, I think that for the listeners, one of the hurdles is knowing that you have something to share, that you have expertise to offer, and you have knowledge that's unique. And I think that you sometimes need a door to walk through in terms of saying, hey, you actually do have something interesting to share. And it usually is in the data that's attached to your store. And then it's also your personal story and what got you into it and things like that. But for anyone who's listening, you know, everyone's an expert in something. And you've got to be able to tap into that expertise. And usually you get rewarded for sharing it. So if you wanted to learn more for us, you know, feature.com is a great place to start. Helperreporter.com is a great place to sign up, get three emails a day with journalist requests. And then connectively.us is essentially a journalist request platform that if you don't like email, connectively is there. There you go. Well, thanks for sticking with me, man. We'll wrap it up here and, you know, hang out just for a minute. I got some additional questions for you. But sorry, guys, you don't get to listen to those questions. I got a private question with Brett after this. Based on this call, man, thank you so much for spending time with me. I would consider you a high voltage business builder and I appreciate your time. Yeah, thanks for having me. Hey, everybody. As I mentioned earlier, check out the latest episode for one from this morning. New episode comes out tomorrow. Tactical knowledge every day on the newsletter. And as I always say at the end of this, do something imperfectly and something perfect will happen along the way. Until then, stay high voltage. I'll see you guys later. Brett Farmilo showed us how to make your brand visible to artificial intelligence. It's not about chasing trends. It's about changing how you structure your data so algorithms can read and cite you. If your site is not ready for this, you are invisible to the next wave of shoppers. You do not need more e-commerce noise. You need clarity. Get the five e-commerce updates that matter. What changed and what to do next. The Voltage e-commerce brief is free every Tuesday and Friday. It cuts through the clutter so you can act fast. Go to VoltageDM.com slash newsletter to join now. This is your shortcut to staying ahead of the curve. We will see you back here tomorrow. Until then, stay high voltage.