Which Brands Can I Sell on Amazon? Sweep a Brand With AI

"Check every product from this brand and tell me which ones I can sell." Answer that by pasting ASINs into Seller Central one at a time and a brand with a few hundred listings eats your afternoon. Half the time the answer for every product is the same.

Ask an AI assistant connected to Arbitrage Stalker instead, and it runs a brand sweep. Below: how the sweep works, the two kinds of answers you get back, and how to go from "can I sell this brand" to a priced list of products you can list today.

Two kinds of brand restrictions

Amazon restricts brands in two different ways, and the difference decides how much work you do.

One brand gate

Some brands lock every product behind a single approval. You apply once for the brand, and if Amazon approves you, the whole catalog opens up. Checking each product in a brand like that tells you the same thing hundreds of times.

Mixed, product by product

Other brands are gated on some ASINs and open on others. Some products need an approval request, some are clear to list, and some have no self-serve path at all. For these brands you need the per-product answer, because that is where the sellable products hide.

I broke down how brand approvals work on the Amazon side in Amazon brand approval and restricted brands. The sweep below is how I find out which kind I am dealing with before I spend any time.

Step 1: brand_eligibility samples the best sellers

The first call in a sweep is brand_eligibility. It takes a brand name, samples that brand's 20 best-selling products by default, checks eligibility on each one against your own Amazon seller account, and rolls the verdicts up into one answer for the brand.

Two real runs show the difference:

• Carter's came back as one brand gate. All 19 sampled products with a verdict were APPLY, gated with an approval link. That means one application for the brand, and no reason to check the rest of the catalog.
• IKEA came back mixed. Of 20 sampled products, 2 were BUY, 17 were APPLY and 1 was SKIP. That brand is gated per product, so the sweep keeps going.

The rollup gives you one of a few verdicts:

• APPLY with brand_gate true: every sampled product is gated and Amazon offers an approval path. Apply once with the link.
• SKIP with brand_gate true: gated with no self-serve path. You need an invoice from an authorized supplier.
• BUY: the sample is clear, but check the exact ASINs before you buy.
• MIXED: gated per product. Move to the full sweep.
• UNKNOWN: too few verdicts so far. Ask again in a minute.

When the answer is one gate, you are done in a single call. That alone saves me more time than anything else in this workflow.

Step 2: search_products pages the whole brand

If the brand is mixed, the next step is getting every ASIN. search_products searches the products the platform already has data for, best sellers first, one row per ASIN, and pages through the brand with a cursor until it runs out.

The brand match is a contains-match by default, so a search for "Carter's" also picks up variants like "Simple Joys by Carter's". The result lists which brand names matched. If one of them is unrelated, ask again with an exact match.

When the platform has little data for a brand, the AI can list the brand's catalog with find_products. That one costs 10 credits per call and has a daily cap, so the assistant uses it only when the cached data comes up thin.

Step 3: check_eligibility in batches of 100

With the ASIN list in hand, the AI passes them to check_eligibility, up to 100 per call. Each ASIN comes back with one of five verdicts, checked against your own seller account:

• BUY: clear to list.
• APPLY: gated, with Amazon's self-serve approval link included.
• SKIP: gated with no self-serve path.
• BAD_ASIN: the identifier is wrong. This is a typo, not a restriction, so fix the row instead of deleting the lead.
• PENDING: still being checked. The AI asks again for those.

ASINs checked in the last day answer instantly. Fresh ones get checked live inside the call up to a limit, and the rest queue and finish shortly after. A 600-ASIN brand sweep that is not one gate takes about ten minutes of eligibility checks for one seller account.

The results also come grouped by brand. If a brand turns out to be one gate partway through, the assistant tells you to apply once and stops checking that brand. For more on running eligibility across a whole list instead of a single brand, see how to check Amazon eligibility in bulk.

The tool never applies for you

check_eligibility and brand_eligibility are read-only. Neither one submits an approval request. They hand you Amazon's link and you decide whether to click it, because failed attempts count against you and an AI firing off applications would burn them. If you want to know how to give yourself the best shot when you do apply, read how to get ungated on Amazon.

Step 4: profit only on the BUY rows

A brand you can sell is still worthless if the products lose money. The last step runs numbers only on the products marked BUY, because pricing a product you cannot list wastes your time.

For each BUY row, the AI calls analyze_asin for the cached picture (rank, offers, fees, risk) and calculate_profit for exact net profit and ROI. The profit math runs through the same calculator behind the Arbitrage Stalker dashboard and applies your saved prep and inbound costs. Both tools are free. I explained why that matters, and why a chatbot guessing fees from memory gets ROI wrong, in why ChatGPT gets your FBA fees wrong.

You still need a buy cost. If you know what your source charges, give it to the assistant. If you do not, ask it to show the buy box price and the most you could pay to hit your ROI target.

What to type

You do not need to name the tools. Ask the way you would ask a VA sitting at your desk:

• "Check every Carter's product and tell me which ones I can sell."
• "Is IKEA one brand gate on my account, or is it mixed?"
• "Sweep the whole brand. Show me the BUY rows with rank under 100,000 and the profit at a $9 buy cost."
• "List the APPLY rows with their approval links, grouped by brand."
• "Any BAD_ASIN rows in that list? Show them so I can fix them."

The assistant follows the sweep order on its own: brand check first, then the catalog, then eligibility in batches, then profit on what you can sell.

Why this needs your account, not a chatbot

A bare chatbot cannot answer "can I sell this brand." It has no access to your seller account, and eligibility depends on that account. Two sellers can get different answers on the same ASIN. What a chatbot gives you instead is a list of brands it remembers as "commonly gated," which is out of date and says nothing about you.

The Arbitrage Stalker MCP connector checks against your own connected Amazon account. When you approve the connection, the Allow page lists what it can do: read your sellers, leads and product data, check what your Amazon account can sell, save products and manage monitors when you ask. It cannot touch your password, your billing or Seller Central.

Set it up

1. Create an Arbitrage Stalker account. Every paid plan includes the MCP server. The pricing page shows Scout at $29, Hunter at $59 and Predator at $239 a month.
2. Connect your Amazon seller account in the app, so eligibility checks run against it.
3. Add https://app.arbitragestalker.com/mcp as a custom connector in Claude or ChatGPT and click Allow. The step-by-step connection guide has the exact clicks.
4. Ask it to sweep a brand you have been eyeing.

Start with a brand you already suspect is gated. If it comes back as one gate, you saved yourself an afternoon in one question. If it comes back mixed, you have a list of products you can sell today, priced against your own costs.