Pod Insights The GaryVee Audio Experience How to Shop with AI and What 'Agentic Commerce' Means for Your Business About this episode In this episode of The GaryVee Audio Experience, I sit down with Naveen, founder of Glance, at Cannes 2026 to talk about agentic commerce — the first time in 30 years the user interface of how people buy things is going to change. We discuss why agents will quietly handle the categories you don't care about so you have more time for the ones you love. I also explain why brands that aren't structuring their websites and content to be read by agents will have no opportunity of being bought.
You'll learn about:
• What Agentic Commerce Really Is
• Why the UI of Shopping Is Changing
• How Brands Get Found by Agents
• The Late-90s Google Moment Again
• Why You Should Participate Early
Transcript 0:00 Speaker 00 Hey everybody, it's Gary Vaynerchuk, marketing for the Now Can 2026. And I'm just gonna be transparent because it's how I like to roll. This is the interview that I'm most excited about, that I'm doing this weekend, because it's actually contemporary. It's actually not looking at yesterday. It's focusing on today, and equally important, everybody's tomorrow. This is the Gary Vee Audio Experience. First, please introduce yourself to all the people that'll be watching this over the next several years on the internets. Where you're from, and what you guys do, and then I'll go into the questions.
0:34 Speaker 01 Firstly, thank you for inviting me here, Gary. Excited to be on your show all the time.
0:40 Speaker 00 Thank you very much.
0:41 Speaker 01 Firstly, I'm Naveen. I founded two companies, Inmobi, which is an advertising platform, and I founded Glance, which is actually an agentic commerce platform. And that's the one that we've launched in the US. It's killing me crazy. We really want to change the way the world shops.
0:59 Speaker 00 Yes.
0:59 Speaker 01 And that's what we're going to do.
1:01 Speaker 00 So, agentic commerce, the way the world shops, I think that people that I would say are more Silicon Valley forward, when you deliver that sentence, they understand.
1:14 Speaker 01 Yeah.
1:14 Speaker 00 I think people that are more Madison Avenue forward, which is where we are, as you know, do not understand that as well.
1:21 Speaker 01 Yeah.
1:22 Speaker 00 You know, my start in all of this was launching an e-commerce site in 1997.
1:28 Speaker 01 Yeah, I heard about that one.
1:29 Speaker 00 And so, that, I've been in commerce pretty much from a very early stage of internet commerce. Where Glance is taking and where the market's going is very exciting for me, because it's the first time in 30 years that the user interface of how people buy things is gonna change.
1:49 Speaker 01 Yeah.
1:50 Speaker 00 That is a substantial thing.
1:51 Speaker 01 Yeah.
1:52 Speaker 00 For the people that are watching on LinkedIn right now, for the people that are gonna read this when I transcribe it to Substack, break down in layman's terms, and then, because I know you're capable, jump up to 201, 301 talk on this whole agentic commerce play.
2:10 Speaker 01 My best.
2:10 Speaker 00 Please.
2:10 Speaker 01 So he- here's what, here's what the world of commerce is look like, right? We, you know, when I wanna buy something, I go talk to a friend of mine. I talk to a partner of mine. Uh, you know, I show it to somebody. I go do research online. All of these, just to like, find what product to buy.
2:27 Speaker 00 Yes.
2:28 Speaker 01 Then, once I've found what product to buy, I then go online and look for the best place where I am not being pleased. I am paying
2:35 Speaker 00 Price, yes.
2:36 Speaker 01 Low price for the same product. So I spend a lot of time, we call that research.
2:41 Speaker 00 Yes.
2:42 Speaker 01 That's not really research. We just wanna find out what to buy, and then where to buy, and how much to pay.
2:47 Speaker 00 That's right.
2:48 Speaker 01 Now, all of that should not be done, uh, in, in today's era, should not be done by yourself in this broken manner. What we'll try to do is to bring all of that together, and we call that gluns. What that means is, the intelligence of the world should be able to tell what, what products Gary needs.
3:07 Speaker 00 Yep.
3:07 Speaker 01 Okay? You know, I don't need to like, you don't need to go talk to me, you can, of course. But
3:12 Speaker 00 But what if I love your beautiful blue Prada shoes?
3:14 Speaker 01 There you are.
3:15 Speaker 00 What about that, Sarah?
3:18 Speaker 00 Go ahead, keep going.
3:18 Speaker 01 I, I didn't need any machine to tell me that you were good.
3:21 Speaker 00 Yes. But sometimes.
3:23 Speaker 01 Sometimes, you do, sometimes.
3:24 Speaker 00 And, and that's actually an important point, I'm just gonna jump in.
3:26 Speaker 01 Yeah.
3:27 Speaker 00 People always thinking, or, this is gonna be and.
3:30 Speaker 01 Yes.
3:30 Speaker 00 Someone listening right now, if you want to window shop, if you enjoy that, knock yourself out. I can speak firsthand, I want to do zero of that. I want my agents to buy absolutely everything for me at the best price, based on my prior behavior.
3:44 Speaker 01 Absolutely.
3:45 Speaker 00 Get me the fuck out of it.
3:46 Speaker 01 And they will remember everything you have ever told it. So the context window is really long.
3:52 Speaker 00 Correct.
3:53 Speaker 01 By the way, the place which you really touched upon, which is really important is, it is not text based, right? If you use P P D, etc., it's all text based. It is impossible to say, hey, go buy these blue shoes, and they look like this, I don't know what that means. So the output for us is images. It is generated products. It is the product, by the way, on how it looks in you.
4:15 Speaker 00 Yes.
4:15 Speaker 01 Because what you do today is you wear a product, you go show it to, you know, a friend of yours. and say how do I look in this?
4:21 Speaker 00 Yes.
4:21 Speaker 01 Well, let us do this for you.
4:23 Speaker 00 Yes.
4:23 Speaker 01 So effectively, we choose the product for you. We show it how it looks in the environment that you want to see it in, either on you or in your home or whatever. And then we tell you where it's the best place to buy it. All of that is done by the machine, so the agent will do this for you.
4:37 Speaker 00 Is the agent buying it for you as well?
4:38 Speaker 01 Agent is assisting in the buying. We don't want the agent to complete the buy process.
4:43 Speaker 00 What if the human wants it?
4:44 Speaker 01 Or then it'll get it.
4:45 Speaker 00 Yeah, because that's what I want.
4:46 Speaker 01 That's it.
4:46 Speaker 00 I literally actually just want to show up to my home every day, have stuff.
4:50 Speaker 01 Yeah.
4:51 Speaker 00 And if.
4:51 Speaker 01 If you automate it and say, give it a budget, it'll just buy it for you.
4:55 Speaker 00 What about long term? Do you think because of this world we're about to live in? Do you think those Prada shoes, for example, will start to become like AI and Internet of Things enabled? Where it understands that you've worn it enough that it's wearing down, but you love them? And it itself will reorder itself?
5:13 Speaker 01 Great idea, man. I think of it.
5:15 Speaker 00 What do you think? I just got here by my looks?
5:49 Speaker 01 But that's a great idea. But I'll tell you what really happens. You know, we know, how many brands do you know?
5:54 Speaker 00 In the world, me? What do I think? A hundred?
5:56 Speaker 01 Hundred?
5:57 Speaker 00 Yeah.
5:57 Speaker 01 How many brands do you think there exist out there?
6:00 Speaker 00 Millions?
6:01 Speaker 01 Millions. You don't know the remaining?
6:03 Speaker 00 Of course.
6:03 Speaker 01 Of course. Machine knows them.
6:05 Speaker 00 Of course.
6:06 Speaker 01 Therefore, what starts to happen is the machine goes and looks up that, you know, 10,000th brand in the world that you are not aware of, but it's best for you.
6:15 Speaker 00 I want everyone to hear what I'm about to say. Because I know the demonization of incredible technologies is the flight of man. I want everyone to hear this. If you love shoe shopping, this doesn't stop it.
6:30 Speaker 00 This allows you to do more shoe shopping because in the background it's buying groceries or shampoo, a category you don't care. What people do not understand about agentic shopping is it will do the shopping for you in the categories that you don't care, thus giving you more time to do the deep work that you want to do on the categories that you do. This is a really important point.
6:53 Speaker 01 Bang on, man.
6:54 Speaker 00 Right, brother? Like, a lot of people will demonize this because many love sho... I mean Hannah Park, she loves to shop. But does she love to shop for every category? Of course not, no human does. Thoughts?
7:06 Speaker 01 That's exactly right. And therefore the machine, give the machine the ability to go and shop for you, it'll look at products that you've never seen before.
7:14 Speaker 00 Of course.
7:14 Speaker 01 It'll look at brands that you've never even heard of. It'll look at price points that are unbelievable for you because the world has this. And therefore, less returns.
7:22 Speaker 00 Yes.
7:22 Speaker 01 Uh, better for sustainability, better for climate. Uh, you're gonna save more money and you're gonna have a lot of more time on your hands.
7:31 Speaker 00 Understood. Tell me something that has been either a misconception or people don't really grasp yet in the next 24 months in this space. Anything stand out when I ask you that on either side?
7:43 Speaker 01 There are two things. I think, one, people have yet to essentially understand that agents can actually be visual in nature and that's something that we are trying to showcase to say it's visuals, it's not text-based.
7:56 Speaker 00 Sure.
7:57 Speaker 01 Text-based are use... there are different use cases for it. The second is, every brand has to essentially start in, you know, training their, uh, training their systems to be learned by the agents.
8:08 Speaker 00 That's right.
8:09 Speaker 01 So if you stay behind on that, the agent-to-agent protocol is going to become more important than anything else.
8:14 Speaker 00 Everybody, oh geez, listen to me carefully. Do you remember back in the day when you had websites in the late 90s and then you woke up one day and realized, wait a minute, our website has to be read by Google so we show up on the first page? This is what this fine gentleman is describing. If you are not creating content for social, if your websites and your places that you show up digitally are not structured to be readable by these agents, you have no opportunity of being bought.
8:43 Speaker 01 That is bang on. And by the way, the agent traffic is already overtaking human traffic.
8:48 Speaker 00 Of cour- friends-
8:49 Speaker 01 That's gonna just like be the case.
8:51 Speaker 00 The computers are gonna win. I'm sorry.
8:52 Speaker 01 Yeah.
8:53 Speaker 00 Suck it up.
8:53 Speaker 01 Yeah, that's true. But participate in it in a way that-
8:57 Speaker 00 Well, that's right. Activate it, right?
8:59 Speaker 01 Yes. And by the way, it's great for the businesses, it's great for consumers.
9:01 Speaker 00 Alright, one last moment, because we're having fun here, but I think you deserve this. Then why glance over other things for people that want to be on the consumer side of this to consider it? And how do they find it? And how do they use it?
9:12 Speaker 01 You should go download Glance app-
9:14 Speaker 00 Yep.
9:15 Speaker 01 First. Second, we're the number one player in the agentic shopping world right now, globally. There's nobody even remotely close to what we are trying to do.
9:24 Speaker 00 So you've got a first mover advantage?
9:26 Speaker 01 Usually. And the beauty of this is, the faster you train the model, the better it works for you. So to get onto that bandwagon early, whether you're a consumer or an enterprise, because the more you-
9:37 Speaker 00 A two-sided marketplace, right? Be found by the agents, be a consumer, that's gonna have a better shopping experience.
9:42 Speaker 01 Exactly. And the more you use it, the better it gets for you on both sides.
9:45 Speaker 00 My friend, congratulations.
9:46 Speaker 01 Thank you, man.
9:46 Speaker 00 We'll see you next time. Thank you, everyone. Hey, everybody, if you enjoyed this podcast, please go back and look at the prior episodes. They're loaded. I appreciate your attention, and thanks for being part of this journey. See you later.
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