SellerGPT vs SellerAmp SAS

The short version

SellerAmp and SellerGPT get lumped together because both have “profit calculator” somewhere in the pitch. But they sit on opposite sides of the one question that decides your day: do you already have a deal in front of you, or are you still hunting for one?

SellerAmp answers the first. Paste an ASIN, or scan a barcode in the clearance aisle, and in about two seconds you get rank, price history, an all-in profit and ROI number with your buy cost plugged in, and — the part that actually saves you money — the gating, hazmat, and IP-complaint flags that stop you from ordering 40 units of something you can't list. It's fast, it's accurate, and after a couple weeks it lives in muscle memory.

What it won't do is find the deal. That's still on you: the clearance run, the storefront you refresh every morning, the supplier sheet you paste in somewhere else. SellerGPT is built around that second job. You hand an AI agent your numbers — ROI floor, minimum profit, BSR ceiling — and it works retailer catalogs on its own, confirms each source price against the live product page, and sends you only the ones that clear. So the real decision is boring but honest: if you can't yet tell a good deal from a bad one, buy SellerAmp and learn the math. If you know the math cold and just don't have enough deals in front of you, that's the gap SellerGPT fills.

What actually matters when you pick between them

Ignore feature lists for a second. Four things move the needle for an arbitrage seller: whether the tool finds leads or only grades them, whether its price and rank data is current enough to trust with real money, what it costs against the thing it replaces, and how much manual work is still left after you've used it. Everything else is noise. SellerGPT is our product, so treat the last section as a sales pitch if you want — but where SellerAmp is the better buy, I'll say so plainly, because pretending otherwise would just cost you a refund and me your trust.

Where SellerAmp shines

SellerAmp SAS has been a fixture in the OA and RA community for years, and it earned that the hard way. The core strength is speed of manual analysis. Scan a barcode with the mobile app in a store, or paste an ASIN at your desk, and within a couple seconds you've got sales-rank history, a Keepa-style price chart, a full profit calculator with fees and your cost worked in, and the eligibility and IP warnings that catch a bad buy before it becomes dead inventory in your garage.

If you do retail arbitrage in-store, the mobile scanning workflow alone justifies the subscription. Walking a TJ Maxx or a Walmart clearance endcap with SellerAmp in your hand is a genuinely good loop, and SellerGPT does not replace it — we don't do in-store scanning at all. Credit where it's due.

The limitation is baked into what it is: SellerAmp grades the deal, it doesn't go get it. You still need a source before it's useful. That's not a knock — it's an analysis layer, and it's an excellent one. It just means the “where do I find products?” problem is entirely still yours after you've paid for it.

Where SellerGPT is different

SellerGPT's sourcing engine is an agent, not a filtered search box. You set your ROI, profit, and rank criteria once, and it works through retailer catalogs the way a diligent VA would if a VA never got bored — checking each product against your bar, cross-referencing pack size and variant with an AI matcher so you aren't comparing a 3-pack of body wash on the source site against a single-unit Amazon listing, and confirming the source price on the live retailer page before anything reaches you.

That pack-count check is not a small thing. The most expensive mistake in OA isn't a bad rank read — it's buying what you think is a 12-pack at a per-unit price that's actually for one bottle, because the scraper matched the wrong listing. I've eaten that loss. Catching it before the lead lands is most of the value.

Amazon-side data — BSR history, review counts, price trend — comes from Keepa, the same backbone the serious tools (SellerAmp included) build on. When something clears, you get a Telegram ping with the source link, buy cost, and margin already done. There's a Chrome extension for when you want to check a product by hand, and access includes coaching and community through Ecom Hustlers.

The honest catch: SellerGPT is not a barcode scanner you point at a shelf. It's built for online sourcing against retailer catalogs, running in the background instead of sitting in your palm while you walk an aisle. Different tool for a different half of the job.

Feature comparison

Pricing

SellerAmp is refreshingly simple to price: three tiers at $19.95, $29.95, and $49.95 a month depending on feature depth and scan volume, with a 14-day free trial to kick the tires. Self-serve, no call, no application. If the $20 tier does what you need, that's an easy yes.

SellerGPT doesn't publish self-serve pricing yet. Access runs through a short intro call instead of a signup page — partly because the AI sourcing engine is still members-only, and partly because I'd rather tell you whether it makes sense for your sourcing volume than take your money and let you find out. Want the numbers? See plans from the homepage.

Who should buy which

Buy SellerAmp if you already have reliable sources — supplier relationships, a clearance-retailer rotation, a storefront-tracking habit — and your bottleneck is confidence: making sure each deal is actually profitable before you commit cash. It's inexpensive, it's proven, and if in-store RA is part of your week it's the clear pick, full stop.

Buy SellerGPT if your bottleneck is volume — if you're burning two hours a day scrolling retailer sites hoping to trip over something worth buying. That's the specific chore it exists to delete. One caveat worth saying out loud, because the ads won't: OA margins in 2026 realistically run 10–20% net after fees, not the 50%+ ROI screenshots you'll see in someone's course funnel. A tool that hands you more already-qualified leads per hour is worth more than one that only confirms the lead you found yourself was fine — but neither one bends the underlying math.

Frequently asked questions