Lock your listings b4 someone redecorates them

This This is the Billiondoll Sellers podcast. Your go-to source for cutting edge strategies and success stories from the world of Amazon and e-commerce. Buckle up and get ready to take your Amazon business to new heights. Don't forget to subscribe to the Billiondoll Sellers Newsletter. Welcome your host. >> Welcome your host, Kevin King. >> Hey everyone, and welcome to the Billiondollar Sellers podcast. I'm your host, Kevin King, and today is Monday, June 15th, 2026. We got a packed episode today. So, uh, let's jump right in. The big story today is about Aented Commerce. And, uh, I think this is one of those things that every Amazon seller needs to get their head around because your next buyer might not actually be a person. We've also got some really eye opening stats on Chad GPT shopping, Tik Tok shop concentration, Prime Day prep tips, Jeff Basos's new $41 billion startup, and the software tool of the day is one you should go turn on right now before somebody messes with your listings. Plus, we just dropped 24 new BDSC moneymaking strategy examples, and there's a link in the show notes if you want to check those out. All right, here's your stunt Bezos question for today. Elon Musk is now the world's first trillionaire. So, here's the question. How long would it take someone to count to 1 trillion? Think about that and I'll give you the answer at the end of the show. All right, let's get into it. Um, so there's a German startup called Shop Aentic and they just raised about €2 million to build what they're calling a native Aentic commerce system. So instead of giving you another dashboard with a million settings and buttons and tabs, their idea is to give merchants a squad of specialized AI agents that each handle one commerce job end to end. One agent cleans your product data, another one makes decisions, another handles distribution, and another one helps you sell through AI channels. You, the merchant, you still prove the important stuff, but the machine does the heavy lifting. Now, that sounds cute, but here's the bigger picture. For 30 years, e-commerce platforms were built around how humans buy. Desktop, mobile, social, omni channel, voice, you know, the interface kept changing, but the buyer was always a person clicking and scrolling and comparing and checking out. Agent commerce changes the buyer. Yeah. The shopper might be Chad GPT or Gemini or Quad or Alexa or some personal shopping agent sitting on somebody's phone or smart speaker or you know even a car dashboard. The human still makes the final call at least for now. But the fetching and filtering and comparing and recommending that's increasingly done by software. So the game isn't just about whether you can convince a customer or not anymore. It's also can I convince the customer's agent and uh the founders of shop aentic Alexander Rainorf and Kai Thomas Krauss. These aren't random AI tourists who discovered e-commerce last Thursday. Their background runs through Magento, new store, commerce tools, logistics, SAS commerce, all the backend plumbing that most sellers never see but depend on every day. And that matters because Aente Commerce isn't a chatbot problem. It's a plumbing problem. The old systems were built for humans, right? Dashboards, buttons, tabs, titles buried eight menus deep, pretty product pages, image carousels, and rich brand pages. A human can fight through all that, but an agent doesn't want to. Agents want things like clean product data, plain answers, availability and pricing, attributes and materials, dimensions, reviews, but also return policy, fulfillment speed, schema, feeds, or APIs, the boring stuff. And here's where it connects to Amazon sellers. The economist is actually testing two versions of the internet right now. One for humans, full of glossy pages and rich layouts, and another one stripped down for AI agents with clean structures and plain text. That's the move. Not human pages or bot pages, both. And looking at the Genai traffic data, it's wild. Chad GPT still leads at about 53%. But it's down almost 24 percentage points from a year ago. Gemini had the biggest gain, up over 18 points to about 27%. And Claude's quietly climbing, too, up about seven points to almost 9%. So, what does this mean for your Amazon brand? Your listing still has to stop a human thumb. Your images still have to sell, and your A+ content still has to build trust. But behind the pretty version, you need the machine version, too. Most sellers still write listings like are trying to impress a rushed human. The next layer is RAM. So, an AI agent can retrieve and verify and compare and explain your product without guessing. And that's the AEO game. Answer engine optimization. It's not replacing SEO. It's adding another referee. SEO helps you rank where human search. AEO helps you show up where agents answer. So make sure answers exist in clean text somewhere in AI can read your bullets, description, A+ modules, brand store, FAQ content, as well as off Amazon landing pages, blog posts, support docs, schema markup, and product feeds. Don't abandon the pretty version though. Humans still buy with emotion and trust still comes from brand proof, reviews and reputation. Instead, build for both internets, one for the human scroll and one for the machine read. And uh one more thing on the payment side, Shopagentic is also watching machine payments, stable coin rails protocols called NPP and X42. That sounds nerdy, but when agents start buying from agents, they need ways to authenticate and transact and settle without a human typing a credit card number every time. Checkout might stop being a page. It might become a protocol. E-commerce is shifting from pages people browse to systems agents query. Your next buyer may not have eyes but will have standards. There's a YouTube video by Retail Gentic with the Shop Adventic co-founders if you want to go deeper. Links in the show notes. All right. Uh let's talk about some interesting stats. So first up, Chad GBT advertisers are booming. According to similar, active Chad GPT advertisers jumped 46% in just one week, going from about 2600 to almost 3,800 between late May and early June. And then there's this really interesting data on how consumers are actually using Chad GPT to shop. 31% of shopping queries on Chad GPT are product discovery. Then 22% are comparison shopping. 23% are single product evaluations. Uh 13% are actual purchase queries. and 16% are post-purchase stuff. So, it's not just, "Hey, Chad GBT, what should I buy?" People are actually using it before the purchase, during the purchase, and after the purchase, the full loop. Instead of typing college dorm essentials into Google, for example, someone's telling Chad GPT, "My son is starting college in the fall. He's living at a small dorm in the Northeast, and I want to make sure he has what he needs without over buying." Now, that's way more context than any keyword ever gave a search engine. So, here's one I think a lot of people aren't going to want to hear, but uh it's important. Tik Tok shop launched on this idea that content-driven discovery would let anyone win, right? Bypass the search and ad payw walls that define marketplaces like Amazon. But early data from marketplace pulse on almost 100,000 US sellers shows the opposite happened. The top 1% of sellers, that's fewer than 900 sellers drive 60% of tracked US GMBB. And the top.1% that's fewer than 90 sellers each averaging more than hund00 million in lifetime sales account for over a quarter of it. The bottom half of sellers contribute about.1% combined. Holy cow. By comparison on Amazon takes about 1.6% of sellers to generate half of third party GMBB. So Tik Tok's concentration actually runs deeper than Amazon's. And platform curation makes it worse. Badges like official store and gold star steer visibility toward proven sellers and then the platform piles on. If you got an official store badge, you're moving about 40 times the volume of an unbagged seller. Gold star gets you about 18 times. So the big get bigger. So the takeaway is removing the payw wall and discovery didn't flatten outcomes, it sharpened them. On Amazon, the gate is operations and capital. On Tik Tok shop, the gate is going viral and uh that's just as hard to crack. So giving everyone a shot at discovery didn't spread the wealth around. They actually concentrated it even more. All right. Now let's take a look at a software tool of the day. And this one you got to go do this today. So go look at your live detail page right now. Brands are finding images on their listings they never uploaded. Amazon's AI or competitor is pulling visuals in on its own. Could be synthetic, could be lifted from a related as could be a competitor's product. The brand never approved it. It just shows up and your customers see it before you do. That's the wakeup call. Here's the fix. The tool is called Brand Catalog Lock. It's a brand registry feature that locks your title, hero image, bullets, and description. Once it's on, unauthorized sellers and outside contributors can't touch those four fields. Only your authorized reps can make changes. It's been live since 2025. It's free. Setup takes about 5 minutes, and almost nobody has it on. So, here's how to activate it. Log into Brand Registry. Find brand catalog lock under your brand's catalog protection settings. Then select your brand. Apply it across your asens. Enable the lock. Then go back to the lot detail page and confirm and held. 5 minutes free. Done. Now one caveat. So you go in with eyes open. The lock is built to stop unauthorized third parties. It's not a blanket shield against every change Amazon's own systems make, which is exactly why you still got to check your live page on a schedule. You paid real money for that photography in that copy. lock it down. All right, so let's talk Prime Day because uh it's basically next week at this point. This section comes from John Durkits. He's a BDSS Dream 100 member and he writes the best of Amazon newsletter. If you sell on Amazon, you're not subscribed to that. Fix that. There's a link in the show notes. So, Amazon always waits until the last minute to drop the real Prime Day dates, and by the time you know it, most of your prep is already locked. Your inventory is already at the FC's. Your deals are locked in. Your PPC budgets are mostly set and more sellers are choosing to sit it out entirely. That's been me for 3 years. But if you're betting the farm on Prime Day this year, here's what you should expect. John went back and pulled postevent data from Prime Day 2025, which is the first time Amazon stretched it from 2 days to 4. Activity peaked on day one at about 34% of total activity, declined through the middle days, and then partially rebounded on day four at about 23% as shoppers finalized their carts. Days one and two were heavy on browsing and click-throughs, thus discovering cross marketplace price comparison. Days three and four flipped to surging conversions and higher average order values as the pent-up demand finally hit. A lot of shoppers waited until the end. And here's a wild card. The day before Prime Day, July 7th last year, actually generated about 4% more orders than official day one in some data sets. Clicks during the buildup averaged 61% higher than during the event itself. Day one had balanced volume with clear evening peaks on Eastern and Pacific time. Days 2 through 4 had slower mornings and sharp spikes around 6:00 p.m. Pacific. So, here's what John recommends. First, frontload your deals and PPC budget to grab day one traffic. Second, adjust your pricing, even by a penny, to trigger Amazon's automatic push notifications to anyone with your item in their cart. And third, if you're in a day park, bias your budgets and bid adjustments toward the evenings of days 2 through 4. And uh real quick, I want to mention Stack Influence. So if you're looking to boost your Amazon rankings heading into Prime Day, Stack Influence lets you automate micro influencer products seating at scale. Top brands like Magic Spoon, Unulver, and Maruth Organics have used it to get to page one positioning and increase monthly revenue as high as 13x in as little as 2 months. You pay influencers only with products. You get full rights, UGC, and it's 100% automated. There's a link in the show notes to get 10% off if you sign up this month. All right, so this next one is big. Jeff Bezos just came out of stealth with a new startup called Prometheus, and this is his first CEO job since he walked away from Amazon in 2021. The company raised 12 billion in fresh funding at a $41 billion valuation. Backers include JPM Morgan, Black Rockck, Goldman Sachs, plus a big slug of Basil's own cash. The pitch is simple. Built for engineering and manufacturing what chat GPT built for words. Bezos calls it an artificial general engineer. Instead of training on the internet, Prometheus trains on the laws of physics and real world testing data pulled from manufacturers. The goal is to crush the time and cost of designing physical things. Skyscrapers, smartphones, jet engines, products sold on Amazon, you name it. He's running it with Vic Bash, a former Google exec, about 150 employees, a big GPU cluster, and even Basos admits comput is still hard to get. But bigger play is quieter. He's reportedly trying to raise as much as hundred billion dollars to buy industrial companies outright, run them on Prometheus models, and stack them into a Berkshire style portfolio that makes physical goods cheaper and faster. Manufacturing today means long lead times, expensive tooling, and slow iteration. If Bezos pulls this off, the cost of getting a physical product to market drops and the speed goes up. Cheaper prototypes, more SKs, faster launches. The same guy who reshaped how you sell is now aiming at how things get made. And speaking of keeping your edge, if you want to level up your e-commerce game right now, when you join BDSS, you get two free bonuses on the house. You get the complete BDSS 13 virtual summit learning dashboard. That's 31 speaker sessions, more than 50 tools demoed live, and over 200 action ready insights. And you also get the full ecom mastery AI replay library from Nashville with more than 40 elite 7 to9 figure experts. Both of those are yours free when you join for just $9. There's a link in the show notes. All right, before we wrap up, a few more hot picks for you. Pinterest is betting on creators with a new Amazon storefront integration. Reddit just announced the Shopify integration to capture high intent shoppers. There's a great piece out called Amazon isn't the problem, and I think a lot of sellers should read it. OpenAI just launched product feed ads in their ads manager beta, and Walmart and Target are both moving their summer sales events to match Amazon's dates. Links to all those are in the show notes. And here's your parting shot for today. This one's from James Clear. You don't need to solve every problem right now, only those that stand in your way. And finally, about that Stumb Bezos question from the beginning. How long would it take someone to count to 1 trillion? Well, it takes about 32 years just to count to a billion. So, count to 1 trillion. It would take roughly 31,500 years. Holy cow, that's a lot of counting. All right, that's all for today, folks. Have a great Monday, and I'll see you again on Thursday. This is Kevin King signing off from the Billiondollar Sellers podcast.