Most AI product images still look like AI product images. Wrong labels. Hallucinated packaging. Sizes Amazon quietly suppresses.
We just wrapped a session yesterday with John Aspinall (Velocity Sellers / Aspie AI), and he gave away his AI system — Amazon-ready hero images, full 6-image stacks, Premium A+ modules, social ad packs, and video. All of it inside the ChatGPT Codex and Grok.
A few things he showed (all in Youtube replay above):
Product URL + one photo → a complete 6-image stack in about 13 minutes, with strategy doc, competitor research, and a QA check that auto-regenerates anything that fails
How to lock in what "good" looks like, then roll that exact stack across every flavor, color and scent in your catalog — with accurate packaging
Premium A+ built for desktop and mobile, then rolled out flavor by flavor
One product shot turned into 20+ social variations across Meta and Pinterest
Grok Imagine for animated labels, pours and spins for Sponsored Brands Video
👉 Watch the replay above
If you want to actually build this with John in four live 2-hour Wednesday sessions, real ASIN, finished assets every week, plus the skills themselves to keep, click here
STUMP BEZOS
For many kids, class is back in session or about to be. How much will be spent this year on Back-to-School items in the USA?
[ Answer at bottom of email ]
👀 AI HASN’T REPLACED AMAZON SEO. IT SITS on TOP of it.
If you’re not a Billion Dollar Seller Club member, you are missing out. You can try it for just $9. Here’s a partial summary from what happened yesterday inside the club:
Panel: Kevin King · Oana Padurariu · Evgeni Petrov · Andrew Bell
AI hasn't replaced Amazon SEO. It sits on top of it. A9 still builds the candidate pool, and Alexa for Shopping re-ranks that pool using personalization, context and the shopper's persona. So classic optimization still matters, and everything below is additive, not a rebuild. We're still in the early-adoption phase, which is exactly where YOUR edge is.
Do This Now (ranked by effort-to-payoff)
1. Add bullet points 6 through 10. Alexa for Shopping consistently reads up to the 10th bullet on the product page. Most sellers stop at 5 because that's the old best practice. Amazon started rolling out 8 to 10 bullets about a year ago.
It varies by category (some cap at 8), and it's showing up for 3P sellers, not just 1P. Go into your account today and see how many it lets you add. Andrew: this alone is an immediate advantage on "answerability" over competitors.
2. ONLY INSIDE BDSC
3. Rewrite for inference, not keywords. Don't stop at the feature. Chain it: feature, then benefit, then who it's for, then emotional payoff. Humans infer the missing links. AI does not.
Weak: "easy-to-clean upholstery"
Strong: easy-to-clean upholstery → simplified spill and mess cleanup → reduces everyday maintenance → useful for households with children or frequent guests
Another: genuine leather + strong frame → increased durability → suitable for frequent long-term household use → long-term everyday value
4. ONLY INSIDE BDSC
5. Run your images through AWS Rekognition. It's free. Create an AWS account, upload your main image, and read the labels back. That's approximately what Amazon sees.
Why it matters: Amazon's AVEN system (per a science paper Oana found about 18 months ago) reads the product itself in the image, not just OCR'd text. If your backend says "V-neck tee" but the image shows a crew neck, your relevance score for "V-neck" drops. Images can contradict, and override, your text.
6. Build a real avatar from data you already own. "Moms, 25 to 35" is a demographic, not an avatar. Pull these and feed them to a top-tier LLM model with a detailed brief (several paragraphs, not a one-line prompt) asking for five named, storied avatars:
Brand Analytics → Demographics (age bands, gender, income, marital status)
Market Basket Analysis (what they co-purchase, which is how Amazon defines product relationships)
Product Opportunity Explorer (niche and objections)
Search Query Performance (long-tail terms you do and don't convert on)
7. ONLY INSIDE BDSC
8. ONLY INSIDE BDSC
9. ONLY INSIDE BDSC
10. Pull your own Amazon data report. Kevin's came back as a 742-page PDF: every video watched and where he paused, every cart add and removal, back to 1999. Useful for understanding just how deep the personalization data goes. US only, blocked in Europe under GDPR. Get yours here
Watch the full 90 minute conversation (and more) inside BDSC here
The AI Agent That Grows Your Business
Titan AI connects to Seller Central, makes your images and video ads (Higgsfield), and works inside Asana, ClickUp, Gmail, Drive and 1,000 other tools, plus Claude and ChatGPT.
The difference is it has a strategic brain.
It reads the Seller Central reports the API doesn’t have and makes the strategic recommendations that grow sales and profit (not just automates VA work).
You approve, it executes. Get 14 days free access here
🔭 YOU GOTTA SEE THIS
What happens when AI scammers clone your brand, create 277 deepfake channels, and steal nearly 1 billion views?
In this episode of Marketing Misfits, hosts Norm Farrar and Kevin King chat with Manuel (Manny) Suarez, CEO of AGM Agency and President of Natural Slim. Manny Suarez breaks down his grueling 6-month legal war with YouTube to shut down the imposters and save his late father's 9-figure legacy.
But the story doesn't stop there. Manny reveals how he bootstrapped his company with just $20,000, dominated the underserved Latino market, and grew to over 50 million social media followers.
Plus, he shares a game-changing "god-mode" AI workflow, syncing Claude and ChatGPT through shared cloud folders, that will completely transform how you operate your business.
If you want advanced, practical AI workflows, including how to make Claude and ChatGPT collaborate via a shared memory drive, this episode is an absolute masterclass.
🌎 INTERESTING STATS
🎂 HAPPY BIRTHDAY to BILLION DOLLAR SELLERS NEWSLETTER
Today marks the three year anniversary of publishing this newsletter twice per week, never missing a single Monday or Thursday in that time. 312 editions so far. All curated and put together by Kevin King (not a VA or assistant).
It’s evolved over time, and more than 97,628 sellers have signed up over that time to receive it.
Sellers often tell me at events they love the subject lines, because they almost always want to open the email. So in celebration of 3 years, here are 10 of my favorites:
Naked Girl on Balcony (August 28, 2023)
50% of your ad money is wasted (April 9, 2026)
90% of these Amazon sellers are in danger (Sept 4, 2025)
Rufus is dead. Long live Alexa (May 14, 2026)
Your margin is my opportunity - Jeff Bezos (May 7, 2026)
Lock your Amazon listings b4 someone redecorates them (June 15, 2026)
Does this Amazon Rufus image hack work? (July 31, 2025)
Wake-up call for Helium 10, Jungle Scout, Data Dive (May 25, 2026)
Easy fix to increase BFCM sales by 20-29% (Nov 11, 2025)
If you sell off Amazon, Google says do this NOW (May 28, 2026)
🛠️ BDSN SOFTWARE TOOL of the DAY 🛠️
1,500,000 emails your competitors already wrote for you
I keep hammering that email should be 25–40% of your revenue. What nobody mentions is that the hardest email to write is the first one, staring at a blank Klaviyo template on a Tuesday trying to invent a welcome flow out of thin air.
Inboox.ai is a searchable swipe file of 1.5 million+ real emails from 10,000+ fast-growing Shopify brands, with roughly 10,000 new ones landing every day.
The volume isn't the useful part. The filters are. You can search by journey stage (welcome, abandoned cart, post-purchase) and by promotion type (flash sale, free gift, early access).
Follow a competitor and it keeps collecting their campaigns as they send. Which means last year's entire Black Friday sequence is sitting there in order, and with Q4 booking up that's the most valuable thing on the platform right now.
Every email comes with an AI breakdown of the subject line, layout and CTA logic. If a brand you want isn't in there, you can request it.
Heads up: this is DTC and Shopify, not Amazon. It won't fix your listing copy. It helps the owned channel you build beside Amazon. And the AI "here's what worked" analysis is informed opinion, not performance data.
Check it out: inboox.ai
🛍️ SHOPIFY is NOT A SOFTWARE COMPANY FIRST
This is based on analysis from Scot Wingo.
Most founders file Shopify under "software company." Scot Wingo makes the case that this is backwards, and the numbers back him up hard.
Shopify runs two revenue lines. Subscription Solutions, the monthly plan you actually pay, did $802 million last quarter. Merchant Solutions, the money it takes on your transactions, did $2.9 billion. That's 78% of the company. The software everyone thinks of as the product is the smaller half by nearly a factor of four.
Inside Merchant Solutions, Wall St. analysts put Shopify Payments and currency conversion at roughly 82% of the line. Everything else splits what's left: app store fees, shipping rev-share from USPS/UPS/FedEx/DHL, POS hardware, ads, and other financial products.
So the lion's share of the lion's share is one thing. Processing your checkout.
Here's why it compounds so fast. GMV hit $116 billion in Q2, up 32%, the fifth straight quarter above 30%. But the share of that volume running through Shopify Payments is climbing at the same time, from roughly 60% two years ago to 68% today. Gross payments volume is now $78 billion a quarter.
Two numbers compounding on top of each other is always a winning formula. Take something growing 30% and multiply 8 points of penetration on top of it, and you get what Shopify got: Payments volume roughly doubled from Q1 2024 to Q2 2026, and it's the engine behind the entire 2026 run.
Why this should change how you read Shopify's moves. Every announcement makes more sense once you know where the money is. Shopify doesn't win when you subscribe. It wins when you transact.
That's why it will keep bundling features, subsidizing software, and racing to plug into every agentic checkout surface it can reach, from ChatGPT on down. Volume is the business.
And on your side of the ledger: your real cost of running on Shopify isn't the plan fee. It's the take rate. Shopify pulled about 3.2 cents of revenue for every dollar of GMV last quarter. Model that number, not your monthly bill.
💩 GURU BULLSH*T METER
My number 1 pet peeve in the ecom space is when purported “gurus” spit out bulls*t and mislead people with bad info. Some of it is their own ignorance, some of it is AI doing the writing and they don’t check it.
Like Ron & Ash. Two supplement guys who have a newsletter for sellers. Their issue that came out yesterday is full of bad info. There is no such thing as an A10 algorithm, and Rufus has been phased out in favor of Alexa Shopping, yet they write about it like it finally got rolled out.
Be careful who you listen to and who you follow for business advice as a seller. There’s tons of fakers and misinformation out there.
🔥 MORE HOT PICKS 🔥
🥃 PARTING SHOT
"There is time enough for everything, in the course of the day, if you do but one thing at once; but there is not time enough in the year, if you will do two things at a time."
✌🏼 Have a great weekend.
See you again on Monday.
The answer to today’s STUMP BEZOS is
$43.3 billion ($864 per family), will be spent on back to school
