AI Storefront Stalking: A Daily Digest of Competitor Finds

I wrote about seller storefront tracking earlier this year: why a competitor's restock is the most honest signal on Amazon, and how to reverse-source from the stores that already proved what sells. That post covers the why. This one covers the part most sellers quit on, which is reading the feed every single morning.

Tracking twenty stores produces a lot of rows. Some days you scroll through them all. Some days you skip it, and those are the days a good find sells out at the source. An AI assistant connected to your tracked sellers fixes that. You ask one question and get the new finds, filtered and short.

What changes when an AI reads the feed

The data stays the same. Arbitrage Stalker watches the storefronts you track and logs each new product a seller adds. In the app, that is the Lead Feed. Through the Arbitrage Stalker MCP server, the same feed becomes a tool called storefront_feed that Claude or ChatGPT can call.

The difference is the interface. Instead of opening the app and setting filters, you type "what did my sellers add since yesterday, under $40, no Amazon on the listing?" and get back the matching rows with rank, buy box price, offer counts and a monthly sales estimate.

You can ask follow-ups in the same chat. Check eligibility on everything that came back. Get profit at a buy cost. Save the good ones to a list. The assistant chains the tools and you read one answer.

The daily digest: what's new since my last run

The question I ask most is "what did my sellers add since yesterday?" Getting a clean answer every day takes one detail: found_since.

How found_since works

storefront_feed accepts a found_since date and returns only products found at or after it. Each response also carries a latest_found_at value. Start the next run from that value and sort oldest first, and you see each new find once, with no repeats and nothing skipped between runs.

In a chat, you do not have to track that yourself. Ask "what's new since my last check?" and the assistant handles the date. If you script it against the REST bridge, you store latest_found_at and pass it back each morning.

Filters worth using

The feed takes filters, so the digest only shows what you would buy:

• Brand: only the brands you can sell or want to sell.
• Category: "Toys" or "Beauty", or part of a category name.
• Price: a minimum and maximum buy box price.
• Rank: a BSR ceiling, so slow movers stay out.
• Hide Amazon: leave out listings where Amazon sells.
• Seller or monitor: one store, or one group of stores.

New finds only is the default. The catalog a seller had when you first started tracking them stays out unless you ask for it, because those are not new finds.

Example prompts for the digest

• "What did my sellers add since yesterday? Under rank 100,000, $15 to $60 buy box, no Amazon."
• "Show only new finds in Toys from my Seasonal monitor."
• "What did seller A13HBC3ALIRHY6 add this week?"
• "Which products from my tracked sellers went back in stock?"

No ROI until you give it a cost

A feed row has a buy box price and the feed's max cost, but no buy cost, because the assistant has no idea what your source charges. To get profit, give it a cost: "run profit on the top five at $11 each." That goes through calculate_profit, the same calculator behind the app, with your saved prep and inbound costs.

Roster yield: which stores earn their slot

Tracking slots are limited, so a store that never adds anything costs you a slot you could give to a better one. list_tracked_sellers returns your roster with new_products_7d and new_products_30d for each store.

Ask:

• "Which of my tracked sellers is producing?"
• "Sort my stores by 30-day yield, lowest first."
• "Which stores added nothing in 30 days?"

A store with zero new products in 30 days is a wasted slot. Pull that list once a month and swap the dead stores out. A seasonal store can go quiet for months and wake up in Q4, so look at what it carried before you cut it. The yield numbers make the call fast. The judgment stays with you.

Adding and removing stores from the chat

Found a seller worth watching? Paste the seller ID or the Amazon storefront link into the chat:

"Track A13HBC3ALIRHY6 and put it on my Seasonal monitor."

The assistant calls track_sellers, adds the store, files it under that monitor and tells you how many store slots you have left. Removing works the same way with untrack_sellers. Both change your account, so the assistant confirms before it runs them.

If you want help finding stores worth tracking in the first place, I wrote a full walkthrough on reverse sourcing on Amazon, including how to read a competitor's catalog before you commit a slot to it.

Monitors: which finds get alerted, and where

A monitor is a group of sellers. It decides which finds trigger an alert and where that alert goes. list_monitors shows them. manage_monitor creates, edits and pauses them.

One rule trips people up: a monitor never controls scanning. Pausing a monitor only stops its alerts. The sellers on it keep getting scanned, and their finds keep showing up in the feed and the daily digest.

Separate monitors work well for separate jobs, like a seasonal group you only want alerts from in Q4 and a core group you want alerts from every day. The digest prompt can filter by monitor name, so "what did my Seasonal sellers add since yesterday?" works without extra setup.

Restock watches on retailer pages

There is a second kind of watch for the sourcing side. Ask the assistant to "watch this product page for a restock" and it checks a retailer page on a schedule, logging price drops and restocks against the ASINs you link. Most Shopify brand stores work. Kohl's, Walmart and Jellycat block automated checks, and the assistant tells you so when you set up the watch. The restock alerts page covers how alerts work in the app.

A morning routine with the digest

1. Ask "what did my sellers add since yesterday?" with your usual filters.
2. Ask it to check eligibility on everything that came back. BUY rows stay, APPLY rows go on a separate list with their approval links.
3. Ask for profit on the BUY rows at the buy cost you see at the source.
4. Save the keepers to a list.
5. Once a month, ask for roster yield and swap out dead stores.

Steps one through four run in one chat. For more copy-paste prompts across sourcing jobs, see 35 prompts for Amazon arbitrage.

What the digest cannot tell you

A find from a tracked seller is a signal. It proves a seller with real money on the line thought the product was worth listing. It does not prove the deal works for you.

Other sellers may watch the same store

A strong storefront draws attention. If a store is easy to find from a popular listing, you are probably not the only one tracking it. Check the offer count on each find before you buy, and expect the buy box to get crowded on products several sellers jump on at once.

The seller's cost is not your cost

The seller you track may have bought at a clearance price you cannot get, or through a distributor account you do not have. source_radar shows the retailers seen carrying that product or brand, so you can see where it might be available. Your buy cost decides the deal, and the calculator needs a real one.

Your account decides eligibility

A product your competitor can list may be gated on your account. Run eligibility on the digest before you shop, so you do not spend an hour sourcing products you cannot sell. The AI checks against your own connected Amazon account, and it hands you Amazon's approval link on gated rows instead of applying for you.

Set it up

1. Create an Arbitrage Stalker account and track a few storefronts. Every paid plan includes the MCP server, and the pricing page has the plan details.
2. Add https://app.arbitragestalker.com/mcp as a custom connector in Claude or ChatGPT, sign in and click Allow. The connector setup guide has the exact clicks for each app.
3. Tomorrow morning, ask what your sellers added since yesterday.

The storefront monitoring page explains how the scanning works behind the feed. The AI reads the output, and you keep making the buy calls.