You’ve probably tried generating your descriptions using an AI tool like ChatGPT. It churns out decent copy, but it’s usually generic and sounds like any other product on the market. You end up prompting it over and over just to fine-tune the descriptions and remind it to stay in your brand voice.
Using AI to write product descriptions shouldn’t be this hard. It’s supposed to speed up your content workflows, not push you to prompt better.
In this article, we’ll look at how to choose an AI tool that writes product descriptions the way you actually need — consistent with your brand, optimized for SEO and GEO, localized for the markets you operate in, and able to handle everything in bulk.
What are the benefits of using AI for product descriptions?
Time and cost savings
Every day your product sits in the warehouse is a day of missed revenue. You could hire more team members or get an outsourced team to churn out product descriptions for you, but that’s going to be additional cost. With AI, your existing team can think though copy and campaign strategy, while automating the mundane parts of writing product descriptions.
Brand consistency
Brand voice varies when multiple writers or agencies contribute to PDPs. AI helps standardize tone, structure, and terminology so your content reads like it comes from one unified brand. AI tools can be trained to mimic your unique style, ensuring that every description aligns perfectly with your brand identity, even if it’s in different languages.
SEO and AI-driven visibility
Search engines and generative systems rely on rich, structured product information. AI can strengthen keyword relevance, improve metadata, and optimize descriptions for both SEO and GEO. This helps your products surface across Google Search, AI overviews, and emerging AI shopping agents.
Testing and experimentation
Automated product descriptions lets teams quickly test multiple variations without spending more time on brainstorming angles and writing. You can run controlled experiments, compare short vs long descriptions, or tailor versions for different marketplaces.
Market expansion
Launching into new regions usually slows down due to translation and localization needs. AI generates region-specific descriptions in local languages while preserving brand standards. This shortens expansion timelines and removes dependence on expensive manual translation workflows.
How to choose the best AI for automated product descriptions
How the AI model is trained
Not all AI models are built the same. General-purpose LLMs might be great at conversation, but they often miss the nuances of ecommerce such as attributes, compliance, variant logic or the terminology shoppers expect. Other tools can write marketing copy but struggle when the content gets more technical.
Choose an AI tool powered by purpose-built ecommerce models. It should understand product structures, categories and the language used in your industry. Most importantly, it needs to handle technical details accurately instead of guessing.
Bulk generation capabilities
If you have thousands or millions of SKUs, manual prompting defeats the purpose of using AI. You should also not be generating or editing descriptions one by one.
Look for AI that can produce hundreds or thousands of product descriptions in parallel. Ideally, it should also generate them automatically by grounding output in your product data rather than relying on prompts.
Captures your brand voice
Most AI tools can copy the general feel of your brand voice. You can tell them your tone is curious or humorous and they will try to mimic it, but the interpretation often ends up slightly off. It is similar to training a new freelancer who gets close but not quite there.
Choose an AI tool that goes beyond surface-level adjectives. It should be trained on your past content and guidelines, learn from feedback, and improve over time. The process should be iterative so the output becomes more aligned with your actual brand voice.
Translation and localization
If you sell in multiple markets, simple translation is not enough. Your AI tool should be able to localize content, use local terms, write in a culturally relevant way and understand regional spelling, phrasing and regulatory nuances.
This makes your product descriptions feel native to each market and helps you convert more shoppers.
Integrates with your tech stack
Moving product data in and out of tools can get messy. A good AI solution should integrate with your ecommerce systems such as Shopify. It should sync product data, update content and publish descriptions directly from within the platform.
How to use AI to write product descriptions
Choosing the right tool matters
When teams start testing different AI tools, the differences usually show up once they move beyond a few sample products. Many tools can generate copy, but they do not always hold up when applied to larger catalogs or more complex product data. Consistency, scale and technical accuracy become harder to maintain, and the output often requires more manual editing than expected.
This is why many ecommerce teams eventually look for something more specialised. They need AI that can understand structured product data, follow brand guidelines with precision, generate content reliably in bulk and fit into their existing workflows.
A purpose-built solution can address these needs much more effectively than a general content tool.
Using Hypotenuse AI to generate product descriptions
Hypotenuse AI is built for ecommerce teams that manage large catalogs and need consistent, accurate product content. It works directly with your product data, understands your category structures and generates descriptions that stay true to your brand voice.
You do not have to prompt each product individually. The platform takes in your data, enriches it where needed and produces ready-to-publish content at scale. Since strong product descriptions depend on clean and complete data, it also helps fill missing attributes and fix inconsistencies before generation.
Here is how the process works.
Sync your product data
Start by importing your product information from your ecommerce platform, PIM or spreadsheets. This gives the AI the structured attributes and images it needs to write accurate, grounded content.
For brands without a PIM, Hypotenuse AI’s AI-powered PIM serves as your centralized source of truth for both product data and content.
Enrich your product data
If details are missing or inconsistent, the AI can help fill them in. You can extract attributes from images or unify data from multiple sources across the web so each SKU has a complete set of information before content is generated.
The AI can also validate your product data to make sure it is accurate and standardized across your catalog.
Get SEO keyword suggestions
For each product or category, the platform recommends keywords that are relevant to your audience and channels. These suggestions guide how descriptions and metadata are written to improve product visibility.
The recommendations are based on live data, which helps your brand keep up with search trends and evolving shopper intent.
Generate product descriptions in your brand voice
Once the data is ready, the AI produces descriptions that reflect your tone, structure and guidelines. The AI is already trained on your brand voice before the generation process begins.
Content is created in parallel for your entire catalog. Each description is grounded in your product data and written to highlight use cases, answer shopper questions and fit your target audience.
Make edits and approve
You can review the generated content, refine it if needed and approve it for publishing. Team workflows in the platform keep everything organized, consistent and moving smoothly.
Translate or localize your content
If you sell in different markets, you can create localized versions of your descriptions. The AI adapts to local phrasing, spelling and terminology so the content feels natural to each region.
You can localize your product descriptions in more than 40 languages, including French, Spanish, Italian and complex languages such as Arabic. If your process requires translation instead of writing from scratch, you can translate your existing descriptions as well.
Publish to your store directly
Push approved descriptions to your ecommerce platform or PIM without manual copying or formatting. This keeps everything synced and shortens your time to launch.
Bonus: Edit your product images
Alongside descriptions, you can also generate or refine product images. This includes background cleanup, lifestyle scenes or upscaling, depending on what each channel requires.
Wrapping it up
Using AI for product descriptions is no longer about generating quick drafts. It is about building a reliable, scalable system that keeps your product content accurate, consistent and ready for every channel you sell on. With the right tool, you can move faster, improve visibility and maintain a strong brand presence across markets.
If you are looking to streamline your product content workflows, an AI platform that understands ecommerce and works with your data can make a meaningful difference. Hypotenuse AI brings these pieces together so your team can focus on growing the business rather than writing descriptions one by one.
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