AI Amazon listing optimization that ends in a verdict.

Paste your product into a generic AI listing generator and you get fluent, plausible, interchangeable copy. The problem isn't the writing — it's what the writing doesn't know:

• It hasn't read your reviews — so it can't answer the objections that actually stop your shoppers from buying.
• It hasn't seen your competitors' listings — so it can't position against what shoppers compare you to in the same search results.
• It doesn't know your numbers — so it can't tell whether the listing even has a copy problem, or whether the real leak is the main image or price presentation.
• It never checks the result — copy goes live and nobody measures whether conversion moved.

In Keplo, listing content starts from a research dossier built for that specific ASIN and marketplace:

• Review mining — what buyers praise, what they complain about, and the exact language they use for both (yours and your competitors').
• Competitor set — how the listings you actually compete against position, price and present themselves.
• Search context — the queries that matter for the ASIN and what currently wins them.
• Your data — where this listing converts against its market, and which lever the gap points at.

The AI writes from that dossier — so the title leads with what actually differentiates you, bullets answer the objections that appear in reviews, and A+ content closes the questions shoppers really have.

• Titles — clear before clever: the shopper must instantly confirm fit, with the search terms that matter placed naturally, within Amazon's length and formatting rules.
• Bullets — benefit-led, objection-answering, scannable on mobile.
• A+ content and Brand Story — module-by-module briefs and finished designs that answer real objections instead of decorating the page.
• Images — the gallery is half the listing; the studio produces those too (see AI image creation).
• Backend search terms — covered without stuffing; indexing is a hygiene item, not a strategy.

Every piece ships through expert review — 13 years of Amazon CRO practice — and your approval. Nothing goes live because a model liked it.

A listing change is a hypothesis until the data says otherwise. Each change Keplo ships is measured against a baseline — via Amazon's A/B testing (Manage Your Experiments) where the ASIN is eligible, or a controlled before/after read where it isn't — and gets an explicit verdict: proven or killed.

That's the difference between "we refreshed the listing" and "the new listing converts better, and here's by how much." Past client verdicts include a supplement brand at +98% CVR after a full rebuild — real results from the record, not a promise for yours.