The agent-ready product data layer for ecommerce

Your products, ready for everything that sells them.

SKULayer takes the feed you already have, finds what's costing you sales, and serves a clean version to every channel. Automatically. Built for stores, and for the agencies that run them.

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Feeds that never fall over

A 100,000-SKU catalog processes in resumable chunks that retry themselves when a source wobbles. Runs finish, or tell you exactly why they didn't.

Rules in plain English

"Exclude anything out of stock under £10" becomes a versioned rule you can read, preview, and test. AI drafts it; you stay in charge of what ships.

Agencies are first-class

One workspace, every client, strict isolation between them and pooled SKU limits across the lot. Stop paying per-store prices for portfolio work.

Four steps, on repeat

  1. 1 · Connect

    Point SKULayer at your existing feed. CSV, TSV, JSON, or XML from any platform.

  2. 2 · Audit

    Every item checked against the disapproval triggers and quality drags that cost you impressions.

  3. 3 · Transform

    Your rules run in order, the same way every time. Preview the impact before anything ships.

  4. 4 · Serve

    Google XML and Meta CSV, always serving the last known-good version. An in-flight run never touches a live feed.

Built agent-ready from day one

Shopping is getting agents: assistants that compare, choose, and buy on your customers' behalf. They will judge you on the quality of your product data. SKULayer keeps that data in one clean, universal schema with an API in front of it, so when the agents arrive, you're the store they can actually read.

Find out what your feed is costing you

Fourteen days free. Connect a feed, run the audit, see what Google's been quietly punishing you for.

Run your first audit