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AI app

Productsup

Enterprise feed management platform that imports product data, optimises it and exports channel-ready feeds to 2,500+ advertising, marketplace and AI channels.

  • Product Feed Management
  • Enterprise pricing

Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing

ecommerceguide summary

Productsup imports product data from any source and file format, applies optimisation rules and exports channel-ready feeds to over 2,500 advertising, marketplace and AI channels, including Google Shopping, Amazon, Meta, TikTok and Google's Gemini-powered AI Mode and Microsoft Copilot. AI Automapper matches product attributes to channel requirements, and AI Data Services generate copy, translate text and adjust ads for channel specs. Pricing is quoted per company, based on SKUs, feeds, modules, sync frequency, seats and countries.

Why it stands out

Productsup states it processes two trillion products per month and covers 170 global markets from one feed platform.

What Productsup does

ecommerceguide editorial
  • Exports product feeds to 2,500+ advertising, marketplace and AI channels
  • AI Automapper maps product attributes to each channel's requirements
  • AI Data Services generate copy, translate text and adjust ads
  • Image Designer adds pricing, features and promotions to product images
  • ROI tool imports Google Analytics data for product-level performance reporting
  • A/B tests product content across channels with analyser tests for ROAS, CPC, CTR
  • Managed Services option: feed managers run optimisation and performance analysis
  • Custom pricing quote; no published entry price or free trial

Capabilities named on the vendor's page

  • AI enrichment
  • AI shopping feeds
  • Taxonomy mapping
  • Error diagnostics
  • Image editing
  • Order syndication
  • Rules engine
  • Title testing

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Consumer electronics brand advertising on Google Shopping and Amazon

    Each channel requires different taxonomy and attribute formats for the same catalogue

    Intended outcomeAI Automapper matches product attributes to channel requirements and Productsup exports a tailored feed per channel.

  2. Home goods brand selling across Meta and TikTok

    Product titles and descriptions need local language versions and channel-specific ad formats

    Intended outcomeAI Data Services generate copy, translate text and adjust ads to each channel's specifications.

  3. Retailer preparing its catalogue for AI shopping surfaces

    The same Google Merchant Center feed drives Shopping, Gemini-powered AI Mode and Copilot results

    Intended outcomeProductsup structures and enriches that feed so it meets the data requirements of those AI experiences.

Who it suits

ecommerceguide editorial

Best for

You syndicate a large catalogue to many advertising, marketplace and AI channels and can work with a quoted enterprise subscription plus optional managed feed services.

Probably not for

You need published per-month pricing or a free trial, as Productsup quotes a subscription based on SKUs, feeds, modules, seats and countries.

Business size
EnterpriseProductsup describes the platform as built for enterprise scalability and large-scale ecommerce, with pricing quoted per company.
Verticals
Marketplaces

Productsup pricing

From the vendor

As published by the vendor. Prices change, so confirm on the vendor's site before buying.

Model
Enterprise pricing

Works with

Store platforms

  • Custom API / FTP

Cart and platform connectors named on the vendor's site.

Selling channels

  • Amazon logoAmazon
  • Criteo
  • Google
  • EU marketplaces
  • Meta
  • Microsoft

Channels the vendor says it can publish feeds to.

Often used alongside

ecommerceguide editorial

Categories and use cases

Sources

ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.

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