AI employees for e-commerce stores
You've got 340 products and 60 of them still have the supplier's description. The competitor undercut you on your bestseller two weeks ago and you found out from a customer. An AI team writes, watches, and reads the numbers — you run the store.
An online store is a writing and watching business that thinks it's a shipping business: product copy, follow-up emails, competitor prices, and “what actually sold and why” all pile up behind fulfilment. KentoHQ gives you named AI employees who own those jobs on a schedule — descriptions drafted in your brand voice, competitor moves diffed weekly, your GA4 translated into decisions — every task machine-verified before it counts as done.
The problems this actually solves
- Half your catalog still has placeholder or supplier copy — brief the brand voice once, then feed product facts — Mia drafts descriptions in batches, in your voice, with the details buyers actually search for. You approve, you publish.
- Interested shoppers vanish and never hear from you again — Leo drafts the win-back and abandoned-interest emails — subject lines, the nudge, the objection-handler — as a ready sequence waiting for your approval. Your words, not template spam.
- Competitors change prices and positioning while you're packing orders — Victor diffs your named competitors' sites weekly — price cuts, new bundles, copied claims, launches — and files a bulletin only when something changed.
- GA4 tells you everything except what to do — Ana reads your GA4 and Search Console every Monday and answers the only questions that matter: what sold, what's trending up, where traffic dropped, and the one fix this week.
- Seasonal campaigns start the week they should have launched — Ruby drafts the ads plan and Leo writes the campaign copy weeks ahead — gift-guide angles, promo emails, landing copy — sitting approved and ready before the rush.
What your AI team does in a typical week
A batch of product descriptions each week in your brand voice — search-friendly, honest about materials and sizing, no adjective soup. Plus category-page copy and a buying-guide post.
Win-back drafts, restock announcements, and abandoned-interest sequences — written, subject-line tested against your past winners, queued for your approval. Nothing auto-sends.
Weekly diff of competitor pricing, bundles, and positioning. Silence means nothing moved; a bulletin means something did — with what it likely means for you.
Monday morning: what sold, which pages and searches drove it, what dropped, and one recommended action — plain English, not a dashboard safari.
One short note each morning: drafts awaiting your approval, competitor changes, anything Ana flagged. You decide over coffee, not at 11pm.
What it costs vs what it replaces
A store this size typically pays a freelance copywriter per description, an email person “when there's budget,” and a price-tracking tool — and the GA4 account goes unread. KentoHQ is one flat subscription (free in early access, no per-seat, no credit meter) doing all of it with verified output. If better copy and faster follow-up rescue a handful of sales a month, it has paid for itself.
Frequently asked
I'm not technical. Can I actually run this?
Yes — you brief agents in plain language, the way you'd brief a part-time hire: “here's our voice, here's what we never say, here are this week's products.” No workflows to build, nothing to install.
Will it identify who's browsing my store?
Honestly: no, not usefully for you. Visitor identification works at the company level only — it never names a person — which helps B2B businesses, not consumer shops. For a store, the value is the copy, emails, competitor watch, and analytics.
Does it plug into my store platform and publish products itself?
No — we don't claim platform integrations we don't have. Agents produce the work: descriptions, email drafts, ads plans, analytics readings, competitor bulletins. You paste and publish where you sell.
How does it keep 300 products in a consistent brand voice?
You set the voice once — tone, banned phrases, how you talk about quality and price — and agents keep long-term memory of it. Every approved batch teaches them; description 200 sounds like description 20.
What does “verified” mean?
An independent engine machine-checks every task before it counts as done — the draft actually exists, the report cites your real numbers, the competitor diff shows real changes. No “done!” that wasn't.
Put the catalog and the follow-up on the team — free →
See the whole team, how verification works, or all industries.