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How to Generate Perfect Product Descriptions for Your eCommerce with AI.

Creating attractive, unique, and audience-specific descriptions can be an exhausting and costly task, especially if you manage a large and constantly evolving catalog. Here, you will learn how to automate this process with AI.


In an eCommerce store, product descriptions are more important than they seem. A good description not only informs but also persuades, builds trust, and improves search engine rankings. However, creating attractive, unique, and audience-specific descriptions can be an exhausting and costly task, especially if you manage a large and constantly evolving catalog.

This is the content of the success story:

  1. Time savings and return.
  2. Simple configuration focused on results.
  3. Demo video: How it works in practice.
  4. Key benefits for your eCommerce.
  5. Strategic vision for your business.

That’s why Pleasepoint Generative Descriptions (GD) was created—a solution designed to automate this process by combining artificial intelligence and advanced personalization. Can you imagine generating hundreds of product descriptions in just a few minutes? With this tool, not only is it possible, but it is also the new standard.

Time savings and return.

One of the main advantages of Pleasepoint GD is that it eliminates the need to create descriptions manually. On average, each description is generated in 6 seconds, saving hundreds of work hours per year. This not only reduces operational costs but also frees content teams to focus on more strategic tasks.

Additionally, the tool perfectly adapts to any business’s needs. From global brands operating in multiple languages to small online stores looking to stand out, Pleasepoint GD offers flexibility to customize every detail according to the target audience, tone of voice, and product features.

Writing a product description manually requires time and effort, even for experienced copywriters. The average time to create a well-crafted description is around 20 minutes per product.

This time includes researching the product’s features, defining the right tone for the brand, optimizing the text for SEO, and ensuring it is clear and persuasive. If you work with a large catalog, this process can become very slow and costly, especially if you need to maintain consistent quality.

Average time with GPT.

Using tools like ChatGPT significantly reduces the time needed to generate a description. With well-defined prompts and a couple of iterations, the average time to obtain a description is usually between 3 to 7 minutes per product.

However, this solution still requires human intervention to adjust the text, ensure accuracy, maintain brand tone, and optimize for SEO. While it is faster than doing it manually, it still depends on human effort to refine the results.

Average time with Pleasepoint GD.



Pleasepoint Generative Descriptions takes automation to another level. With this tool, you can generate personalized descriptions in just 6 seconds per product. This includes brand tone adaptations, SEO optimization, and customization based on audience and language.



Moreover, it enables bulk generation for multiple products in minutes, virtually eliminating the need for manual intervention. This level of automation not only saves time but also ensures consistent, high-quality results.

Time savings calculation.

For a catalog of 100 products, the time savings are significant depending on the tool used. If each manual description takes 20 minutes, completing the catalog requires 2,000 minutes, or over 33 hours of work.

With ChatGPT, reducing the average time to 5 minutes per description, the total would be 500 minutes, about 8.3 hours.

However, with Pleasepoint GD, generating each description in just 6 seconds means the process takes only 10 minutes in total. Compared to manual work, Pleasepoint GD saves 99.5% of the time, and compared to ChatGPT, the savings are 98%, making it the most efficient solution for eCommerce.

Simple configuration focused on results.

The power of Pleasepoint GD lies in its ability to generate tailored descriptions based on a user-configured prompt. What can you adjust to make the descriptions perfect? Here are the main elements you can define:

  1. Brand description: Incorporate details about your brand’s personality, style, and values you want to reflect.
  2. Audience profile: Define who your ideal customer is. Are they looking for luxury, practicality, or innovation?
  3. Tone of voice: From professional and technical to friendly and conversational, the tool adjusts the tone according to your preferences.
  4. Product catalog: Specify key product features, from materials and colors to unique benefits.
  5. Text length: Decide whether you prefer short and direct descriptions or more elaborate ones, ideal for SEO.
  6. Creativity level: Adjust the text’s creativity to convey exactly the message you want.

Demo video: How it works in practice.

Key benefits for your eCommerce.

  • Significant time savings: Each description is generated in just 6 seconds, eliminating manual workload.
  • Unique and optimized content: Descriptions tailored to customer needs and optimized for SEO.
  • Multi-language support: Create descriptions in multiple languages effortlessly.
  • Advanced personalization: Texts reflect your brand’s personality and adapt to audience expectations.
  • Higher conversion rates: Clear and attractive descriptions generate more interest and boost sales.

Strategic vision for your business.

Automating description creation is not just an operational decision but a key strategy for any eCommerce looking to grow.

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The Pleasepoint data model.

Description of the data model used in the Pleasepoint platform. This article is primarily intended for the initial data load.

Amazon Web Services (AWS) Software Partners (ISV).

We are ISV (Independent Software Vendor) partners of Amazon Web Services (AWS) and have been selected for the ISV-Accelerate program.

Pleasepoint on AWS Marketplace

"With Pleasepoint, we have moved from the traditional campaign management model to a more dynamic, segmented, and enriched customer model, personalizing CRM campaigns and improving the conversion of our e-commerce channel customers."

Josep Jarque
Digital Project Manager & IT Architect

"The implementation of one-to-one personalization has allowed us to generate much more interesting content for users, as well as foster loyalty, improve the shopping experience, and generate additional sales through personalized recommendations."

Jose Antonio Linde
COO of Condisline

Our clients vouch for us.