Case studies

How leading brands scale product content without scaling teams

From multilingual DIY retailers managing 25,000 annual products to healthcare providers, these success stories showcase how businesses transform their product content creation with TextBrew. Our clients have achieved up to 83% time savings while improving content quality, demonstrating how AI-powered automation can turn product descriptions from a bottleneck into a competitive advantage. Discover how different industries leverage TextBrew to create engaging, accurate, and scalable product content.

International DIY retailer scales multilingual product content creation by 6x

A leading DIY retailer needed to efficiently create and maintain product descriptions for 25,000+ new products annually across multiple languages while ensuring consistent brand voice and technical accuracy.

Industrial service provider enriches technical product catalog

A B2B industrial provider specializing in sealing and polymer solutions needed to enrich their PIM system with comprehensive product descriptions for items with missing or incomplete data.

Corporate gifting platform streamlines content creation

A leading corporate gifts provider, More than Gifts, needed to create engaging product descriptions for their sustainable product line while maintaining consistent professional tone and emphasizing product uniqueness and environmental responsibility.

Online pharmacy enhances product discoverability with advanced attribute tagging

A leading online pharmacy needed to create accurate product descriptions while ensuring compliance with strict healthcare regulations and guidelines. Additionally, they needed to improve their website's filtering and search functionality through better product attribute organization.

FAQs

Your TextBrew questions, answered. From getting started with a single EAN to scaling across thousands of products, these frequently asked questions cover everything you need to know about implementing AI-powered product content generation in your workflow.

How does TextBrew generate product content?

Using EAN codes, TextBrew gathers data from Amazon, bol.com and Google Shopping and your PIM, then uses AI to create unique, optimized content following your brand guidelines.

I'm concerned about using AI-generated content - doesn't Google penalize AI content in search rankings?

Google values high-quality content that serves user intent, regardless of how it's created - what matters is uniqueness, expertise, and value for users. TextBrew ensures this by transforming diverse product data into unique, high-quality descriptions that align with your brand identity and consistently demonstrate product expertise.

How does TextBrew handle copyright concerns?

TextBrew uses creative transformation of data rather than direct copying. Our AI generates unique content by analyzing and combining information from multiple sources.

What input is needed to start generating content?

Just EAN codes. Optionally, you can provide existing PIM data to enhance the output. Or if you want to only use your own data, you can.

Can TextBrew handle multiple languages?

Yes, supports content generation in multiple languages including Dutch, French, German, Spanish, Portuguese, Polish and English. Other languages on request.

How is the tone of voice controlled?

Through comprehensive tone settings including target audience, writing style, language preferences, and brand-specific terminology. Creation is easy, just paste a sample text from your webshop.

What types of output can be customized?

Title formats, USP structures, description length, specification count, and attribute formatting are all customizable.