What you sell
Category, price band, core angles—no repeating yourself. Leo knows you sell earbuds and writes to real search behavior in that niche.
Competitors, reviews, listings, profit—the tedious work runs 24/7 while you focus elsewhere.
They learn your store; you make the calls.

Generic tools reset every session. Your AI Agents remember what matters—the longer you run, the sharper and more tailored the advice.
Category, price band, core angles—no repeating yourself. Leo knows you sell earbuds and writes to real search behavior in that niche.
Your 3–5 core rivals stay on Scott's radar. When a rival shifts, everyone else knows—Leo updates copy, Max re-runs margin—no re-briefing.
Margin floors, ad caps, risk appetite—Max and Scott price advice against your real constraints, not generic templates.
On day one they only know what you told them. By day 30 they know your cadence, rivals, and profit structure—so advice stops being one-size-fits-all and becomes specific to your store.
Four specialists · competitors · listings · reviews · profit · 24/7
Competitive intel · Always watching
Rivals cut prices and you’re last to know? Tell me who to watch—I monitor pricing, images, new ASINs, and review shifts 24/7, with clear follow/ignore guidance.
““ASIN B0CXXX just dropped ~8% and undercuts you by ¥12. Suggest matching ¥7 for 3 days. They also refreshed the hero image and added a ‘30-day returns’ badge—likely pushing harder; consider warranty messaging to counter.””
I fetch public data—no busywork for you
Reviews & sentiment · Reviews on watch
Bad reviews with no playbook? I watch the wall, flag what matters, draft replies, and tell you if it’s a product issue—copy, paste, send.
““Three negatives this week all cite ‘damaged packaging’—likely systemic. Draft replies are ready; for premium orders consider proactive spare parts (~¥12/ea), far cheaper than rank drag. Want to review wording?””
I fetch public data—no busywork for you
Listing optimizer · Optimize anytime + scheduled rechecks
Listings make or break conversion. Send your PDP links—I benchmark rivals, mine real search terms, and rewrite titles, bullets, and body so listings sell, not just “exist.”
““SKU-A192 is missing the high-volume phrase ‘wireless earbuds noise cancelling’—top 5 rivals all use it. I rewrote the title and five bullets; expect ~15–20% more impressions. Draft is ready—want a walkthrough?””
I fetch public data—no busywork for you
Profit analyst · On-demand checks + monthly recap
Sold all year but unsure if you made money? Share price, cost, and ad spend—I show true margin per SKU, what bleeds, and what to change.
““From your numbers: SKU-Y did ¥42,000 revenue but after ¥9,200 ads, ¥5,900 fees, ¥2,100 returns, and ¥800 storage, profit is only ¥3,100 (7.4%). Ads are the main drag—I listed three fixes.””
You paste numbers—I run the math
The crew is four people today. Who we build next is your call—tell us what hurts most in ops; we prioritize what gets the most votes.
✓ Got it—we’ll prioritize when demand is clear.
Quick answers about the AI Sales Team for cross-border sellers.
Tools answer when asked—then the thread ends. An AI Agent owns a job (e.g. “watch rival prices”), works on a cadence, and only escalates when you need to decide. It’s ongoing coverage, not a one-off chat.
Beta is free. After launch it’s monthly per AI Agent. Waitlist signups get 30 free days when we go live.
Scott, Mira, and Leo run on public signals—no sensitive uploads required. Max only sees numbers you paste and returns results—we don’t retain your data.
No—roles are split. Scott watches rivals, Leo owns listings, Mira reads reviews, Max runs profit. If Mira sees buyers praising “battery life,” Leo can move that into titles; if Scott sees a price cut, Max models whether you can follow. You always approve the final move.