AI Product Descriptions — 5 Tools, Real Indian Results

My Test Setup

I pulled 20 real products from Indian D2C brands across categories:

• 5 fashion products I tested (saree, kurta, sneaker, watch, sunglasses)
• 5 beauty products I tested (face cream, hair oil, lip balm, serum, sunscreen)
• 5 food products I tested (masala mix, protein bar, ghee, honey, tea)
• 5 home products I tested (candle, cushion cover, wall art, kitchen gadget, bedsheet)

I gave each tool the same product details (name, features, materials, target audience) and asked it to generate a product description.

The Results I Got

What Worked For Me

ChatGPT: Best Overall For Me

• I found the most nuanced descriptions here — it understood that a Banarasi saree needs different language than a protein bar
• I noticed it was good at incorporating Indian cultural context when I prompted for it
• It could write in Hindi and Hinglish when I asked
• In my tests, it was the best at creating SEO-friendly descriptions with natural keyword placement
• Downside I ran into: it requires good prompts. Generic prompts = generic output.

Shopify Magic: Best for Speed in My Test

• I liked that it’s built into Shopify — no switching between tools
• It generated descriptions in 3 seconds when I timed it
• I found the quality acceptable for bulk catalog listing
• Downside I saw: descriptions are generic and Western-oriented. No Indian cultural nuance.

Where I Found ALL AI Tools Fell Short

1. Indian sizing context — none of them understood Indian body types or sizing conventions without explicit guidance from me. They’d describe a kurta using Western fit terminology.
2. Regional product knowledge — none of them knew that Banarasi silk has specific weave patterns, or that A2 ghee is different from regular ghee, unless I told them.
3. Price sensitivity framing — every tool I tried defaulted to ‘premium’ language on its own. Indian D2C needs to balance aspiration with value-for-money messaging.
4. Festival/occasion context — none of them naturally connected products to Indian festivals, weddings, or occasions unless I prompted for it.

My Recommended Workflow

1. Use ChatGPT/Claude with a detailed prompt template — I include product name, key features, target customer, occasion/use case, USP, price point, and tone.
2. Create a ‘brand voice’ document — I feed the AI my brand’s tone, vocabulary, and examples of descriptions I like. This dramatically improves the output.
3. Human edit is mandatory — AI gets me 70-80% there. My human editor adds the Indian cultural nuance, corrects sizing/material details, and keeps the brand voice consistent.
4. A/B test AI vs human descriptions — On 10 products, I run the AI description on variant A and the human description on variant B, then compare conversion rates over 2 weeks.

The Prompt Template That Works For Me

Here’s the template I use for any AI tool:

“Write a product description for [product name] sold on an Indian D2C ecommerce website. Target customer: [describe]. Use case/occasion: [when would they buy this]. Key features: [list 3-5]. Material/ingredients: [list]. Price: ₹[amount]. Tone: [aspirational but value-conscious / premium / casual]. Include: 1 headline (under 10 words), 3-4 benefit-focused bullet points, 1 short paragraph (under 50 words). Do NOT use: ‘elevate’, ‘journey’, ‘curated’, or other overused marketing words.”

Need Help With Product Content?

At Growww Tech, I lead the team that creates product descriptions, photography guidelines, and catalog strategies for Indian D2C brands. Let’s optimise your product pages.

Related reading:

• Product Photography Guide
• AI Chatbot for Customer Support
• Best Shopify Apps for Indian Stores