Product Feed Setup | Coworkers.ai Docs

The Product Feed is the foundation of the Product Advisor module.
It provides all the product information your AI assistant uses to search, recommend, and answer questions about your catalog.

Once connected, the bot can automatically access product names, descriptions, prices, attributes, and images, so it can hold natural shopping conversations and display relevant products in a carousel.

Supported Feed Formats

Our platform supports several standard e-commerce feeds, ensuring smooth integration with most major platforms.

Google Merchant RSS

Google Merchant Guide →
Supports both required and optional metadata such as availability, condition, color, material, size, and shipping region. Ideal if your product catalog already feeds into Google Shopping.

Heureka Feed (Central Europe)

Heureka Feed Specification →
We read key product details (ID, name, description, price, etc.) and optional attributes (size, color, brand…).

Arukereso Feed (Hungary)

Arukereso Format →
Similar to Heureka, with equivalent fields for product info, manufacturer, category, and attributes.

Coworkers Product XML

A simplified XML format for shops that don’t use any of the above systems.
All fields in this format are mandatory.

Use this only if your platform cannot generate a Heureka, Arukereso, or Google Merchant feed.

XML

<PRODUCT>
  <IDENTIFIER>Unique product ID</IDENTIFIER>
  <PRODUCTNAME>Product name</PRODUCTNAME>
  <CATEGORY>Category > Subcategory 1 > ...</CATEGORY>
  <BRAND>Manufcaturer / Brand</BRAND>
  <PRICE>Price (without unit, float)</PRICE>
  <PRODUCT_URL>Product url</PRODUCT_URL>
  <IMAGE_URL>Image url</IMAGE_URL>
  <DESCRIPTION>Comprehensive product description</DESCRIPTION>
  <SEARCH_PRIORITY>Search priority. Lower number = Higher priority.</SEARCH_PRIORITY>
  <ATTRIBUTES>
    <ATTRIBUTE>
      <ATTRIBUTE_NAME>Name (eg. color)</ATTRIBUTE_NAME>
      <ATTRIBUTE_VALUE>Value (eg. white)<ATTRIBUTE_VALUE>
    </ATTRIBUTE>
  </ATTRIBUTES>
</PRODUCT>

✅ Next Step

Once your product feed is successfully connected and synced, proceed to configure your Agent settings to define how the Product Advisor communicates and recommends products.