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How to Shop with AI and What 'Agentic Commerce' Means for Your Business

9m 28s

How to Shop with AI and What 'Agentic Commerce' Means for Your Business

In this interview, Gary Vaynerchuk speaks with Navin, founder of the agentic commerce platform Blons (branded as Glance). Navin explains that agentic commerce revolutionizes online shopping by using AI agents to automate the entire process: researching products, finding the best prices, and even showing how items look on the user or in their home through visual outputs. This eliminates the need for consumers to manually search across multiple sites and price-compare, especially for categories they don't enjoy shopping for. Gary highlights that this technology doesn't remove the joy of shopping for enthusiasts; instead, it automates mundane purchases, freeing up time for more meaningful activities. A critical insight is that brands must now optimize their digital presence for AI agents, just as they once did for search engines, or risk being overlooked as agent traffic grows. Navin notes that Glance is the global leader in this space, benefiting from a first-mover advantage where more usage improves the model for both consumers and enterprises. The conversation underscores a shift toward a more efficient, personalized, and visually driven shopping experience.

Transcription

1958 Words, 10076 Characters

English
Everybody's Gary Vaynerchuk, marketing for the now, Cannes 2026. I'm just gonna be transparent 'cause 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 GaryVee audio experience. (air whooshing) First, please introduce yourself to all the people that'll be watching this over the next several years on the internet, where you're from and what you guys do and then I'll go into the questions. - Firstly, thank you for inviting me here, Gary. I'm excited to be on your show all day. - Thank you. - All the time. - Thank you very much. Firstly, I'm Navin. I founded two companies in Mobile, which is an advertising platform and I founded Blons, which is actually an agentic commerce. - Yes. - Slime from. And that's the one that we've launched in the US. It's killing you crazy. - We're really gonna change the way the water shops. - Yes. - And that's what we're gonna do. - 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. I think people that are more Madison Avenue forward, which is where we are, as you know, do not understand that as well. - Yeah. - Yeah. - You know, my start in all of this was launching an e-commerce site in 1997. - Yeah, I handle that one. - 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, 'cause it's the first time in 30 years that the user interface of how people buy things is gonna change. - Yeah. - That is a substantial thing. - Yeah. - 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 201301 talk on this whole agentic commerce play. - I'm gonna try my best. - Please. So, here's what the world of commerce is look like. We, you know, when I wanna buy something, I go talk to a friend of mine. I talk to a partner of mine. You know, I show it to somebody. I go to research online. All of these just to like find what product to buy. - Yes. - 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 for. - Price. - Yes. - No price for the same product. So, I spend a lot of, and we call that research. - Yes. - Okay. - That's not really research. We just try to find out what to buy, and then where to buy, and how much to pay. - That's right. - Now all of that should not be done in today's era, and that should not be done by yourself in this broken manner. What we try to do is to bring all of that together, and we call that guns. What that means is the intelligence of the world should be able to tell what products get in each. - Yeah. - Okay. - You know, I don't need to, like, you don't need to go talk to me, of course. - But what if I love your beautiful blue product shoes? What about that, sir? (laughing) - All right, here you go. - I didn't need any machine to tell me that. - Yes. - But sometimes. - But sometimes you do, sometimes. - And that's actually the point I'm just gonna jump in. People always think in, "Or, this is gonna be ant." 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. - Absolutely. - Get me the fuck out of it. - And they, you remember everything you have ever told it. So the context window is really long. - Correct. - By the way, the place which you really touched upon, which is really important is, it is not text-based. - Correct. - If you use DVD, 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. - Yes. - Because what you do today is you wear a product, you go show it to a friend of yours and say, "How do I look at this?" - Yes. - Well, let us do this for you. - Yes. - So effectively, we choose the product for you. We show it how it looks in the environment that you want to see it either on 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 is the agent buying it for you as well. - Agent is assisting in the buying. We don't want the agent to complete the buy process. - What if the human wants it? - Or then it will get it in the way. - Because that's what I want. - That's it. - I literally actually just want to show up to my home every day, have stuff. - Yeah. - And if you automate it and say, "Give it a budget," this is buy it for you. - What about long term? Do you think because of this world we're about to live in, do you think those product shoes, for example, will start to become inner, 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. - It's a great idea, man. - I just said, "You go ahead." - What do you think? I just got here by my looks. (laughing) But that's a great idea, but I'll tell you what really happens. You know, we know how many brands do you know? - In the world, me, what do I think? 100? - 100? - Yeah. - How many brands do you think there exists out there? - Millions. - Millions? - You don't know the remaining. - Of course, of course. Machine knows them. - Of course. - So therefore what has started 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. 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. 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. - Bang on man. - Right brother? A lot of people will demonize this because many love shop, I mean Hannah, Park, she loves to shop. But does she love to shop for every category? Of course not. No human does. Thoughts. - 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. Of course. 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. - Yes. - Better for sustainability, better for climate. You're gonna save more money and you're gonna have a lot of more time on your hands. - Yeah, understand. 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? - There are two things. I think one, people have yet to essentially understand that agents can actually be visually nature. And that's something that we're trying to showcase to say it's visuals, it's not text-based. - Sure. - Text-based are used in different use cases for it. The second is every brand has to essentially start in training their systems to be learned by the agents. - That's right. - So if you stay behind on that, the agent to agent protocol is gonna become more important in the next 24 months. - Everybody, oh geez, listen to me carefully. Do you remember back in a 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. - That is bang on. And by the way, the agent traffic is already or taking human traffic. - Of course, friends. - That's gonna just like be the case. - The computers are gonna win, I'm sorry. Suck it up. - Yeah, that's true. - But participate in it in a way that - Well that's right, activate it, right? - Yes, and by the way, it's great for the businesses, it's great for consumers. - All right, one last moment, 'cause 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? - Yeah, you just go down a little or glance out. - Yep. - For us, 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. - So you got a first mover advantage? - Usually. And the beauty of this is the faster you train the model, the better it works for you. So to get onto that band bag and early weather, you're a consumer, R, A and Enterprise, because the more you say-- - Two-sided marketplace, right? Be found by the agents, be a consumer, that's got a better shopping spirit. - Exactly, and the more you use it, the better it gets for you in both sides. - My friend, congratulations. - Thank you, man. - We'll see you next time. Thank you, everyone. 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.

Podcast Summary

Key Points:

  1. Navin founded two companies
  2. Agentic commerce uses AI agents to handle shopping—researching products, finding the best prices, and showing visuals—saving users time in categories they don't care about.
  3. The system is visual, not text-based; it generates images of products on users or in their environments to assist decision-making.
  4. Gary emphasizes that agentic shopping doesn't eliminate shopping for those who enjoy it; it frees up time by automating disliked categories.
  5. Brands must structure their digital content for AI agents to read, similar to optimizing for Google in the late 1990s, or risk being invisible.
  6. Glance is currently the global leader in agentic shopping, with a first-mover advantage that improves as more users train the model.

Summary:

In this interview, Gary Vaynerchuk speaks with Navin, founder of the agentic commerce platform Blons (branded as Glance). Navin explains that agentic commerce revolutionizes online shopping by using AI agents to automate the entire process: researching products, finding the best prices, and even showing how items look on the user or in their home through visual outputs. This eliminates the need for consumers to manually search across multiple sites and price-compare, especially for categories they don't enjoy shopping for.

Gary highlights that this technology doesn't remove the joy of shopping for enthusiasts; instead, it automates mundane purchases, freeing up time for more meaningful activities. A critical insight is that brands must now optimize their digital presence for AI agents, just as they once did for search engines, or risk being overlooked as agent traffic grows. Navin notes that Glance is the global leader in this space, benefiting from a first-mover advantage where more usage improves the model for both consumers and enterprises.

The conversation underscores a shift toward a more efficient, personalized, and visually driven shopping experience.

FAQs

Agentic commerce is a system where AI agents help you find and buy products by using visual outputs, showing how items look on you or in your environment, and finding the best price, without you having to do the research yourself.

It automates shopping for categories you don't care about, like groceries or shampoo, freeing up time for you to focus on categories you enjoy, like fashion.

No, it enhances their experience by handling unwanted shopping tasks, giving them more time for the shopping they love.

First, people don't realize agents can be visual, not just text-based. Second, brands must train their systems for agent-to-agent protocols to stay relevant.

Similar to optimizing websites for Google in the late 90s, brands need to make their content readable by agents to ensure they are discovered and bought.

Glance is the number one player in agentic shopping globally, with a first-mover advantage where faster training of the model improves its performance for both consumers and enterprises.

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