Not a course. Not a build-your-own agent. The expert comes baked in.
Product Picked. Ad Spend Saved. Listing Fixed. Nailed and Done.
Connects to your real orders, ads and reviews — runs the expert playbook on your actual numbers. You approve every change.
No credit card. Official Amazon SP-API — read-only until you approve a change.
Three jobs. Same expert standard. A fraction of the time
Ranges measured against how an experienced operator runs each job by hand. Efficiency varies by catalog size and data volume.
Real output, not mockups
Bad picks fixed, spend saved, listings kept clean
What StoreClaw actually does when it catches each one and fixes it for you.
Product Niche Opportunity
6-factor verdict — trend, sales, competition, profit, supply, risk — backed by 7 discovery paths and real Amazon signals: BSR, Movers & Shakers, review barrier, FBA fees & fit, supplier availability.
Any red flag — IP risk, thin margin, no supplier — auto-downgrades the call to Wait or No-Go, before you commit budget.
Ad Budget Savings
The weekly search-term check most sellers skip — flags zero-sale keywords, batches them into one-click negatives, and prices bids off your real break-even ACoS (price, FBA cost, returns).
Watches ACoS spikes, morning budget burn, Buy Box loss and low stock — plus a TACoS view that shows whether ads are actually lifting your organic rank, not just spending.
Listing Optimization
One pass writes the full set — ≤75-character title, 5 bullets, 4–6-paragraph description, search terms, 5 A+ modules, 3–5 Q&A — with keywords laddered by field, not stuffed.
3-layer compliance scan (banned words, regulated claims, algorithm-flagged terms) scores it 0–100 with the fix for each flag, before Amazon's July 27, 2026 title rule catches it first.
Full Control, Always
Official Amazon SP-API, read-only until you approve — connecting your store never means handing over control.
Every catch comes with its evidence attached; pricing, listing and ad changes wait for your one-click approval before anything goes live.
Questions sellers actually ask
Connection uses Amazon's official OAuth — you authorize the scope, your data is used only to serve you (never to train models), and any write action (editing a listing, adding negatives) requires your explicit confirmation. The difference from generic AI: ChatGPT gives generic advice; StoreClaw reads your real store data and analyzes yesterday's actual GMV, your real ACoS, your real return rate — so every recommendation is grounded in your business, not industry averages.
StoreClaw won't stop Amazon from raising fees — but it makes sure you always know your real numbers. Its pricing & profit engine builds your full cost stack (referral, FBA, storage, inbound, PPC, returns) and calculates your break-even price, safe floor, and target-margin price before you set a number. It also attributes revenue swings to the real driver — units, mix, discounts, or refunds — so you see exactly where margin is leaking instead of guessing.
StoreClaw's Amazon ad intelligence runs the full loop: analyze → diagnose → alert → act. It surfaces your wasted spend (which search terms burn money with zero conversion, and how much per week), calculates your break-even ACoS from real costs, and lets you push high-converting terms into manual campaigns or batch-add negatives with one confirmation. It also watches TACoS — so you know whether ads are actually lifting your organic sales, not just inflating spend.
That's exactly why StoreClaw focuses on the organic foundation ads can't replace. It finds the ranking and trending keywords across 9 Amazon marketplaces, builds keyword-driven listings that place the right terms in the right fields (not keyword-stuffed), and checks your search visibility — including a pre-check for Amazon's 2026 ≤75-character title rule so your keywords don't get auto-rewritten. Stronger organic ranking means less pressure to buy every click.
Honestly, no tool can guarantee that — suspension decisions sit entirely with Amazon. What StoreClaw does is reduce the risk you create yourself: before you publish, its listing compliance scan flags prohibited claims, regulated/medical wording, and algorithm-penalty patterns (like keyword stuffing) and gives you compliant rewrites. It's about closing the self-inflicted gaps you can control — not a promise about Amazon's decisions.
Yes — that's its core job. StoreClaw acts like a full operations team in one AI: it runs your sales, inventory, product, and health analysis with actual computation (not guesswork) and delivers ready-to-read reports. Set it once and it runs on a schedule — daily briefings, low-stock warnings, ACoS and Buy-Box alerts — pushed straight to Slack, Feishu, or WeCom, so signals reach you without you babysitting dashboards.
StoreClaw can't block fraudulent buyers — that's on Amazon's tools — but it attacks the returns you can fix. Its review insights engine reads your reviews and classifies each issue by root cause (product defect / expectation gap / misuse / fulfillment), so you know whether to fix the product, the listing, or the images. Its product analysis flags your return-risk and reputation-risk SKUs early, and it separates real "purchase barriers" from complaints — so you cut the expectation-gap returns that drive a big share of the damage.
Absolutely — StoreClaw is built cross-platform. The same AI that runs your Amazon operations also connects Shopify, TikTok Shop, and more, so you manage every channel from one cockpit instead of switching tabs all day. It can even compare true net profit of the same product across channels, so you diversify based on real numbers — not a leap of faith.
You could spend weekends prompting an agent into existence.
There's a whole industry teaching sellers to wire up their own AI agents:
StoreClaw's Skills were built by operators who've actually run Amazon stores —
Or connect your store and see your first real number in 5 minutes.