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Generating Product Descriptions

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Writing B2B and B2C versions of the same description across thousands of products is work that scales badly. In Pimberly, two Pimbles are run against a product, one for each audience, using a query builder where attributes and digital assets are pulled into the prompt and the model is chosen rather than fixed. The generated content is written back to its target attribute and carries the same approval controls as a manual edit.

With Pimberly’s Pimbles, you can:

  • Run a Pimble against a single selection or a filtered set of products, for bulk generation
  • Apply two Pimbles at once — one for B2B content, one for B2C — each writing to its own target attribute
  • Pull attributes and digital assets into the prompt through the query builder, rather than defining it from scratch each time
  • Choose the model per Pimble — ChatGPT, Claude, Gemini, or a connected custom model
  • Validate the request before anything is generated
  • Route generated content through the same approval workflow as a manual edit, where a human review is wanted

See how it works in the video below:

More like this…

Configuring Product Types

Feeds and Imports - Mapping and Transformation

Deep Multi-Tier Product Structures

Taxonomy - Surfacing Attributes by Level

See more videos

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Configuring Models and Testing Pimbles Generating SEO, AEO and GEO Content with Pimbles AI
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