What the algorithm reads

Discoverability is decided at the data level.

Browse-node placement, attribute completeness and identifier accuracy determine where products surface. Weak item data does not rank low - it fails to enter the paths shoppers browse at all.

Browse-node mapping

Products place into the right nodes by rule, so they surface where shoppers actually look.

Identifier integrity

UPCs, EANs and ASIN matching validated across the catalog before submission.

Category-spec attributes

Required and recommended fields populated per category, across the full catalog.

Offer accuracy

Price and stock sync on schedule, protecting account health and the offer that wins the Buy Box.

How it works

Selling on Amazon in three steps.

01

Connect your store

Your full catalog imports automatically with variants, imagery and inventory.

02

Map to Amazon's spec

A maintained template covers categories, identifiers and required attributes; your rules refine them.

03

Publish and monitor

Validated listings push on schedule with feed health tracked in one dashboard.

1

catalog behind Amazon and every other channel you sell.

40+

channels one connection can feed.

0

listings suppressed for data a rule could have fixed.

Questions, answered

Amazon listing questions.

How does ASIN matching work?

Amazon matches your products to existing ASINs by identifier. Validated UPCs and EANs match correctly - malformed ones create duplicates or errors.

What suppresses listings?

Missing required attributes, identifier conflicts and stale offers. Validation and scheduled syncs address all three.

How do offers stay accurate?

Price and stock sync on your schedule, so your offer reflects what you can actually fulfill.

Other AI agents

Be readable everywhere shoppers ask.

No items found.

Make your catalog the answer

Light closer. Renders for AI agent type only, which spends its dark beat on the hero.

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