Chad Rubin

The Amazon marketplace is a hostile battleground. Yet, some Amazon brands continue to thrive & make tons of dollars. How? They know stuff you don’t. Here are 21 truth bombs about selling on Amazon that'll turn the tides in your favor (against Amazon & your brutal competitors):

@mikefutia Seo

I just built a Claude Code SEO agent that replaces your $200/mo. Ahrefs subscription 🤯 One prompt → keyword gaps found, competitors analyzed, content written in your brand voice, rankings tracked weekly. All inside Claude Code. Perfect for DTC brands and agencies who know SEO matters but never have the bandwidth to actually do it consistently. If your SEO workflow looks like this — log into Ahrefs once a month, export a CSV, skim it for 5 minutes, close the tab, tell yourself you'll write that blog post next week, never do... This agent runs the entire loop for you: → Connects to Google Search Console and pulls your real ranking data → Finds your "gap zone" — keywords sitting at positions 5-20, one article away from page 1 → Uses Apify to scrape who's outranking you and breaks down exactly why they're winning → Interviews you once about your brand, customers, and positioning — then never asks again → Writes content in your voice — not generic AI slop that tanks after 90 days → Tracks rankings weekly and feeds what's working back into the next cycle → Optimizes your product listings for AI shopping — so you show up when someone asks ChatGPT for a recommendation, not just Google No $200/month tools you open once and forget. No freelancers writing content that sounds like everyone else. No manually checking rankings and forgetting to act on it. What you get: - Keyword cards with a specific action recommendation for each gap zone opportunity - A competitive breakdown — who's beating you and the exact fix for each keyword - A weekly content plan generated from your real GSC data - A brand voice profile Claude uses for every article it writes - Product listing optimization for AI shopping (ChatGPT, Gemini, Perplexity) — the new SEO nobody's doing yet Built 100% in Claude Code with Google Search Console. I put together a full playbook with the skill files, brand interview, and the exact weekly workflow. Want it for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)

LinkedIn and X is becoming a factory for this. A factory for 5-minute AI slop that takes everyone else 5 hours to review. I just saw someone post a 265-page AI-generated PDF and ask people to comment for it so the algorithm would amplify the post and help them get more followers. The output is bad. But the real problem is that other people pay for it with time. Someone presses a few buttons and spins up AI clickbait. Now it is on you to comment for it, open it, read it, check whether any of it is real. Then figure out whether there is even one useful idea buried under 265 pages of filler the person who posted it probably did not read. That is cost transfer. AI PDFs are cheap to produce and expensive to verify. The cleanup cost gets dumped on everyone else. And both LinkedIn and X rewards it. Comment for the PDF. Comment for the guide. Comment for the framework. Comment for the playbook. Most of the people asking for it will never read it. Yes, AI can create leverage. But when it creates review debt, it becomes negative leverage. If someone saves themselves an hour and hands you something that takes half a day to verify, no value was created. The work was just moved to someone whose time is more expensive.

I spent hundreds of hours on agentic AI over the last month. And I watched one send emails it never should have sent. This was not on day 1. This was... After rules. Testing. A stupid amount of attention. A lot of founders are about to burn serious time trying to be their own AI engineer while also running a company. It sounds smart but it's usually a bad trade. You are prompting it. Debugging it. Watching it. Retesting. Then cleaning up some mess from an agent named Alfred. So instead of getting leverage, you get another job. The cost your time. You think you are building an edge. Then your week disappears into broken workflows and cleanup. I went deep on purpose. Here's my take: Most business owners should not be building this stuff themselves. Founders should run the business. That is a big part of how we think about Profasee Ultra. Out-of-the-box AI for Amazon and multi-channel ecommerce businesses. You and many other operators do not need another science project.

The biggest lie about AI is that it will make ambitious people work less. The exact opposite is happening. The most successful people I know are working more than ever. AI is working so well that they can't put it down. AI puts more weight behind the people already pushing. The pace feels insane because it is. The gap is widening. P.S. Late night. Parking lot. Walking with @chrisbrisson . Laptops out. Still building. Obsession does not clock out.

🌶️ Take: Here’s what I actually care about: token spend per employee. That is the new productivity metric. h̶e̶a̶d̶c̶o̶u̶n̶t̶.̶ ̶h̶o̶u̶r̶s̶ ̶w̶o̶r̶k̶e̶d̶.̶ ̶m̶e̶e̶t̶i̶n̶g̶s̶.̶ ̶d̶a̶s̶h̶b̶o̶a̶r̶d̶s̶.̶ Token spend per employee. Because the question is not: “How much are we spending on AI?" That is old world thinking. The real question is: “How much more output are we buying per employee?” That is the shift. If tokens make someone 10x faster, you do not try to save money on tokens. You spend until the math breaks. Because if one operator can burn $20k in tokens and generate $500k in output, the risk-adjusted return is insane. tokens are not software spend. tokens are labor leverage. Huge difference. Low token spend = low leverage = low output. So when a company brags that its AI bill is low, that is not a flex. It usually means the team is barely using the tools. Meanwhile, your competitor is putting serious compute behind their people and compounding faster every week. That is why the highest-output companies of this era are the ones that turn compute into execution the fastest. That is the metric. Token spend per employee. P.S. Profasee Ultra is built for this. A way to put serious compute behind Amazon operators.

@mikefutia SEO

I just built a Claude Code SEO agent that replaces your $200/mo. Ahrefs subscription 🤯 One prompt → keyword gaps found, competitors analyzed, content written in your brand voice, rankings tracked weekly. All inside Claude Code. Perfect for DTC brands and agencies who know SEO matters but never have the bandwidth to actually do it consistently. This agent runs the entire loop for you: → Connects to Google Search Console and pulls your real ranking data → Finds your "gap zone" — keywords sitting at positions 5–20 → Scrapes who's outranking you and breaks down exactly why they're winning → Interviews you once about your brand, customers, and positioning → Writes content in your voice — not generic AI slop that tanks after 90 days → Tracks rankings weekly and feeds results back into the next cycle No expensive tools you barely open. No freelancers writing content that sounds like everyone else. No manually checking rankings and forgetting to act on it. What you get: - Keyword cards with a specific action for each gap zone opportunity - A competitive breakdown showing who's beating you and the exact fix - A weekly content plan generated from your real GSC data - A brand voice profile Claude uses for every article it writes Built 100% in Claude Code with Google Search Console. I put together a full playbook with the skill files, brand interview, and the exact weekly workflow. Want it for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)

Imagine going to prison in 2019 and getting out today. The world you left is gone. No ChatGPT. No Claude. No AI agents. No machines writing, coding, researching, and executing at scale. Now that is the norm. And this is only phase one. The last 5 years were software. The next 5 years are AI moving into the physical world. Warehouses / Factories. Logistics. Construction. Healthcare. Labor. You can already see it in ecommerce. Brands on Amazon are starting to shift from people doing the work to agents doing the work with Profasee Ultra. But you do not need a prison sentence to miss this... You just need to stay comfortable. AI has become the operating system for reality.

I spoke with an AI consultant today who builds out openclaw for brands. I demo'd him Profasee Ultra. You could see the moment the entire conversation changed. Because what we built replaces what he sells. He charges about $5,000 a month to build custom AI workflows. But here’s the problem: AI does not want to be a consulting project. AI wants to be a product. Companies don’t want someone to build agents. They want to hire an agent. Log in. Pick PPC Agent. Pick Pricing Agent. Pick Inventory Agent. Turn it on. Done. No project plan. No roadmap. No invoices. No six-week implementation. Just outcomes. This is the shift happening right now: We are moving from “We build AI for your company” to “Your company runs on AI.” One is services. One is software. One charges retainers. One replaces agencies and headcount. And when this shift happens, industries don’t slowly decline. They disappear. The future is not custom AI. The future is AI that just works. Out of the box. Like hiring an employee. Just my $0.02 for the day

In 2007 an open source ecommerce platform launched that most ignored. By 2018 Adobe acquired Magento for $1.68 billion. The early adopters who bet on Magento before anyone cared.... They became the biggest agencies. The biggest dev shops. The biggest integrators. The biggest ecommerce stores. We're at that same EXACT moment right now. Open Claw is the Magento of agentic AI. Open infrastructure for agents that don't talk. They work. And the builders who move on it now will look like geniuses in 3 years. Most sellers are watching. Some are building. We chose to build. Profasee Ultra is a platform with AI agents that run your Amazon business autonomously. PPC. Repricing. Demand forecasting. Listing optimization. Reimbursement recovery. Supply chain. All coordinated by an AI COO named Claudia. Agents that act. Humans that approve. The sellers who adopt agentic AI early will build businesses that print money.

Most people will not build their own software. But that’s not the point either. AI turns every developer into ten developers. Every single kid with a laptop into a legitimate competitor. The customer never builds the hammer. But when a thousand new shops can build hammers overnight, the hammer goes from $20 to $2. Most are focusing on the wrong side of the equation.

A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo... Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all. So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design. They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job. Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before. Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.

Jeff Bezos said: "Your margin is my opportunity." Most Amazon sellers heard that and worried about Amazon. The real threat? The seller next to you who just replaced half their team with AI agents. I've been in this space 15 years. Built and exited the largest Amazon seller conference Prosper. Built Skubana, the largest inventory software that got acquired. And the gap I see right now between sellers who "use tools" and sellers who "run agents" is the biggest shift since FBA launched. Here's what the top 1% of 7-figure Amazon sellers are doing differently: 𝟭/ 𝗧𝗵𝗲𝘆 𝘀𝘁𝗼𝗽𝗽𝗲𝗱 𝗯𝘂𝘆𝗶𝗻𝗶𝗴 𝘁𝗼𝗼𝗹𝘀. 𝗧𝗵𝗲𝘆 𝗵𝗶𝗿𝗲𝗱 𝗮𝗴𝗲𝗻𝘁𝘀. Tools show you data. Agents act on it. The difference isn't speed. It's leverage. An agent monitors, decides, and executes while you sleep. 𝟮/ 𝗧𝗵𝗲𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗱𝗿𝗮𝗶𝗻 𝘁𝗵𝗲𝗺. The average 7-figure seller makes 50+ pricing and ad decisions a day. Most are reactive, emotional, and late. The top operators? Their agents handled it before breakfast. 𝟯/ 𝗧𝗵𝗲𝘆 𝘁𝘂𝗿𝗻𝗲𝗱 𝗽𝗿𝗶𝗰𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗮 𝘄𝗲𝗮𝗽𝗼𝗻. Static pricing in 2026 is like running Google Ads with one keyword. Dynamic, AI-driven repricing captures margin most sellers don't even know they're leaving on the table. 𝟰/ 𝗧𝗵𝗲𝘆 𝗯𝘂𝗶𝗹𝘁 𝗮𝗻 𝗔𝗜 𝗼𝗿𝗴 𝗰𝗵𝗮𝗿𝘁. Not a dashboard. An actual team of AI agents. One for pricing. One for PPC. One for demand planning. One for strategy. Each with a job. Each working 24/7. This is the new operating model for Amazon brands. That's exactly why I built Profasee Ultra. Not another tool. An AI agent team for your Amazon business: → Oracle: dynamic pricing that maximizes margin → Marko: PPC execution that kills waste in real time → Bruno: demand planning so you never stock out → Claudia: strategy and P&L intelligence across your catalog Each agent works autonomously. You stay in control with guardrails and approvals. Profasee Ultra is application-only. We're looking for Amazon private label brands doing $500K+ that want to operate like a company with 10x their team. Apply → profasee.com/ultra Spots are limited. We onboard in cohorts so every brand gets white-glove setup.

@Peter_Quadrel AI

NanoBanana 2 just made your static ad agency obsolete. And I just open sourced the entire tool. Drop your product page URL. It pulls your logos, product images, fonts, colors, and brand voice automatically. Builds a full brand guide for you. Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches. It dynamically matches the best templates to your brand and brief. Here's what makes it different: → Instant resizing Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text. → Highlight-to-edit See an issue? Highlight the area and tell it what to fix. → Multiple brand profiles Run different brands or segments from one tool. → Auto persona building from real customer reviews → Multiple QC loops on briefs and final assets Catches AI-isms before you do. → Upload your own templates or use ours Runs locally. Just needs your Claude and Google API keys. This is the lite version of what we use internally. You get the full finished tool AND the open source code to make it your own. Creatives still design the system, this handles iteration and scale. Want a copy to download? 1. Like this post 2. Comment "AI" Will DM you the tool along with a tutorial shortly after.

Here's the uncomfortable truth. Your best people are running at 1/10th of their capacity. Not because they are lazy. Not because they lack talent. They are buried in: syncs. spreadsheets. slack threads. fragmented software. And this coordination tax is KILLING your business. Nobody is talking about it honestly. The new 7 and 8 figure brand doesn't have a PPC team. Doesn't have a demand planner. Doesn't have a supply chain manager reviewing reorder points at 6am. They have agents. Not chatbots. Not dashboards with AI sprinkled on top. Actual agents that execute. That coordinate with each other. That act on your behalf while you sleep. This is what we built at Profasee Ultra. 6 AI agents and more coming online. Each one replaces a function you're either paying $5,000-$10,000/month to an agency for, or you're doing yourself at 11pm when you should be with your family. They analyze. They act. You approve. There is a MOUNTAIN of operational busywork that no human should be doing manually in 2026. AI agents don't just cut costs. They give you leverage you never had. Are you gonna uncap your team first, or will your competitor?

@CoenHees @InstantHQ Would be great to do dinner in Miami

Just traded Amsterdam for Miami. The first chair has arrived. A new base as we continue expanding @InstantHQ in the U.S. If you’re building in commerce, AI, or Shopify in Miami (or know someone), let’s connect.

No-bullsh*t, unfiltered takes from The Prosper Show 2026 🍿 Nod to Liz Downing. 10th year of Prosper. All the weight on one person. Heavy is the head. Kudos. What made Prosper special was the brand first. Not EBITDA. EBITDA followed. I hope that stays the north star. Now let’s dive in 🤿 🎤 The exhibit hall smelled like death. Duplicative vendors. Exhibitors in pain. Margin compression. Tariffs. Amazon’s ever-increasing take rates. 🎤 Biggest driver pulling people to Prosper? Fear. FOMO of missing the booth next to a competitor. Fear of not being in the room when something serendipitous happens. Don’t underestimate it. 🎤 The software stack is being replaced by the agent stack. SaaS tools that do one thing will be eaten by AI agents that think, act, and adapt. We’re building this at Profasee Ultra. SaaS for Amazon isn’t dead yet, but will be… 🎤 Too many companies slapping ‘AI’ on their website. Try prompting their software in their booth. First response looks fine. Second contradicts the first. Third makes no sense. Half-baked tech just to say they have AI. Evaluating a vendor? Ask hard questions. The real ones hold up. 🎤 Amazon SaaS companies are the new copycats. Private label 3.0. Same undifferentiated offerings, same race to the bottom. Moats have disappeared. Market is matured. The SaaS/Agency space will heavily consolidate. 🎤 No sign of brand aggregators anywhere. Gone. These are smart people. But they treated Amazon like a simple math equation. Buy brands, bolt together, scale. Amazon is a far more complex formula. 🎤 Software aggregators still lurking with no clear direction. The playbook that worked in 2021 doesn’t work in 2026. Most haven’t figured that out yet. The tools that win next won’t look like the tools that won last. 🎤 Helium 10 and Jungle Scout weren’t there. Not exhibiting. Not showing up. They don’t understand the ICP. Everyone wants to move up market. That tells you everything. 🎤 We’re in a low-OpEx era on Amazon. Either grow revenue or use AI to amplify what you have. The technology to collapse four roles into one exists. AI should amplify humans, not replace them. 🎤 Communities and masterminds are the Trojan horse of conferences. Show up, blend in, quietly poach members. Sneaky business. 🎤 Best event? OpenClaw meetup on agentic AI put together by Brett Bohannon. Turned into a serendipitous dinner. No agenda. No slides. Just operators talking about what’s working. More of that. 🎤 This industry is underfunded. It doesn’t have the energy of something growing. It has the energy of something contracting. Consolidating. Thinning out. 🎤 The future of conferences lives in human connections, not endless PowerPoints. Seek out solid humans you respect. Learn from them. Share. Collaborate. Just my $0.02 for today.

The annual no-bullsh*t, unfiltered takes from The Prosper Show 2026. Popcorn's ready 🍿 Tombstones. The fading Amazon middle class. Fear. AI fakers exposed. I have thoughts. A lot of them. But I'm still digesting the meat 🥩 Full breakdown drops Monday. Don't miss it.

You want the real moat? Take every decision an agent makes and record the outcome. THEN feed those results back into the next cycle. This is a fact. The longer you run Profasee Ultra, the smarter it gets. Nobody else has your data. Nobody else has your decision history. Nobody else has 90 days of proven outcomes tied to YOUR account, YOUR margins, YOUR seasonality. When your agents get smarter, your cost per decision goes down. When cost per decision goes down, your OpEx collapses. When OpEx collapses, your margins expand. And then... Your competitors are still paying $8K/month for an agency that sends them a PDF. You're running Profasee Ultra for a tiny fraction of that. Agents that already know what works because they've been learning on your account every single day for the last six months. The person managing your ads should not be a person managing 14 other accounts who checks yours on Thursday. It should be an AI agent that runs your account every hour, records every outcome, and gets measurably better with every cycle. Not because it's "smart." Because it has data no one else will ever have. Yours. This is the part most sellers miss. They think AI agents are a tool. A thing you plug in. They're not. They're a compounding asset. Every week you're NOT running Profasee Ultra is a week of decision data you'll never get back. That data doesn't exist retroactively. You can't backfill it. You can't buy it. You either started building it or you didn't. Save money today. Build a dataset that makes your business harder to compete with tomorrow. My $0.02: ...the smartest Amazon businesses won't be the ones with the best people. They'll be the ones whose agents have been learning the longest.

@abhilashupdate Security, anti-hallucination defense, the works are built in

🦀🦀 Introducing Profasee Ultra 🦀🦀 I've spent the last few months heads down building something I've never seen done for Amazon sellers. Not an AI chatbot. Not another dashboard. AI agents that actually DO things in your account. Here's the difference that changed everything for me: ChatGPT, Gemini, Claude -- you ask, they respond. You still do the work. Profasee Ultra -- you ask, it ACTS. Bids adjusted. Forecasts updated. Waste blocked. While you sleep. A few things I learned building this: 1. You can't delegate this work. Not to a team. Not to an agency. If you want to understand what AI can actually do for your business, you have to spend time with it yourself. There's no shortcut. 2. Persistence is the skill. This stuff breaks. It runs into walls. The sellers who win with AI aren't the most technical ones -- they're the ones who don't quit when it gets frustrating. 3. The reframe is everything. Stop asking AI what to research. Start asking what it can DO for you. That one shift changes everything. So here's what we built: Meet the crew running my Amazon business 24/7: Marko -- your PPC agent. Kills wasted spend. Mines for profitable search terms. Adjusts bids automatically. Bruno -- demand forecasting and inventory. Knows before you do when you're about to stock out. Oracle -- repricing. Moves your prices based on competition and velocity. Claudia -- your AI COO. Oversees all of them and coordinates strategy. The question I kept asking while building this: What would it cost to hire four specialists who work 24 hours a day, never take a vacation, and dont take a lunch break? That's what this is. If you're spending $5K-10K/month on agencies, softwares and VAs to manage what these agents can handle -- I want to show you something. Drop a comment or DM me. Happy to walk you through it.

2015–2025: Amazon sellers built tool stacks. 2026: The winners will run agent stacks. Look at the typical Amazon setup today. Tools: Keyword tool PPC tool Repricer Reimbursement tool Analytics dashboards Then the people who operate them: Agency VA Employees Multiple tools. Multiple humans. Thousands per month to run one store. And what do most of those tools actually do? They show you problems. ACOS creeping up. Buy box lost. Listing hijacked. Price too high. Reimbursements missed. Then someone logs in. Clicks buttons. Fixes it manually. Sometimes you. Sometimes a VA. Sometimes an agency. That model worked when capital was cheap and labor was everywhere. That cycle is ending. The next Amazon stack is agents. Agents that: • adjust bids • change prices • forecast demand • detect hijackers • recover reimbursements They don’t show the problem. They fix it...immediately. No dashboards. No waiting. No manual fixes. Just constant execution while you sleep. This is why we built Profasee Ultra. AI agents that operate your store. PPC. Pricing. Forecasting. Listing protection. Reimbursements. Costs less than a single VA. Costs less than your tool stacks. Amazon IS a low-opex game. The sellers who figure that out first will own the next cycle.

@ReezyResells @amazonwithbrett Profasee Ultra does… profasee.com/ultra

@amazonwithbrett Are you using the API? Can those reports be pulled in by the tool?

Created the first open source skills marketplace for Amazon sellers. Give it a peek and if you have a skill, submit it for the community. skillcrate.dev