The Real Problem
You run an online homeware store with 600 SKUs on Shopify. Half your product descriptions are copy-pasted from the supplier's spec sheet. The other half say things like "Beautiful cushion, great for any room" — which describes every cushion ever made and helps no one find yours on Google.
Your Google Shopping feed is worse. Product titles are manufacturer codes instead of searchable terms. Attributes are missing or inconsistent. Google's algorithm looks at your feed and sees 600 products with thin, duplicated content — and ranks you accordingly.
You know this is a problem. You've tried writing better descriptions yourself, but at 15 minutes per product, rewriting 600 listings would take 150 hours. That's nearly a month of full-time work. So the descriptions stay as they are, and your organic traffic stays flat while competitors with better content take the clicks.
NZ-specific SEO matters here too. Your Australian supplier writes "queen duvet" but Kiwi customers search for "queen duvet inner." The descriptions say "free shipping" but don't mention that rural delivery to places like Wanaka or Kerikeri costs extra. NZ English spelling — colour, not color; organisation, not organization — affects both customer trust and search relevance.
Why Existing Tools Don't Solve This
Shopify Magic can generate product descriptions, but it works one product at a time. For 600 SKUs, you're still clicking through each one individually. The output is generic — it doesn't know your brand voice, your target customer, or NZ search terms. It won't write "perfect for a Kiwi winter" or mention that the product ships from Auckland.
Cin7 and other inventory management tools handle stock and orders but don't touch product content. Your Xero integration tracks the finances. Nobody in your tech stack is writing the words that actually sell the products.
SEO tools like Ahrefs or SEMrush tell you what keywords to target, but they don't write the content. You still need someone — or something — to turn keyword research into 600 unique, compelling product descriptions.
How AI Solves This
You export your product catalogue as a CSV from Shopify — product names, categories, specs, prices, existing descriptions. You send this to your AI assistant via WhatsApp or upload it to your workspace.
You (WhatsApp): "Here's my product CSV. I need unique descriptions for all 600 products. NZ English, SEO-optimised, mentioning that we ship from Auckland. Target audience is NZ homeowners aged 30-55. Brand voice is warm but not cutesy."
The AI processes the catalogue in batches and returns:
Original: "Cushion cover. 45x45cm. Cotton. Blue."
AI-generated: "Handwoven cotton cushion cover in deep ocean blue — sized at 45x45cm to fit standard NZ cushion inners. The textured weave adds warmth to any living space without overwhelming the room. Machine washable on a gentle cycle. Ships from Auckland, with delivery across NZ in 2-4 business days."
Original: "Throw blanket wool grey"
AI-generated: "A generous wool throw in soft grey, perfect for Kiwi winters on the couch or draped over a guest bed. 100% natural wool with a gentle hand-feel. Measures 150x200cm — large enough to share. Dry clean or hand wash in cool water. Rural delivery available NZ-wide."
Google Shopping Feed Optimisation
The AI also rewrites your product feed titles and attributes:
- Before: "SKU-4521 Cushion Blue Cotton"
- After: "Blue Cotton Cushion Cover 45x45cm | Handwoven | NZ Shipping"
Each title follows Google Shopping best practices: product type, key attribute, size, and a relevance signal. The AI ensures consistent attribute formatting across all 600 products — colour, material, size, and shipping info populated correctly.
Batch Processing
The AI handles this in structured batches:
- Round 1: 50 products processed, you review and give feedback on tone and style
- Round 2-12: Remaining products processed with your confirmed style guide applied
- Final output: A CSV ready to bulk-import back into Shopify
The Result
- 600 unique descriptions — no more duplicated supplier copy or one-line placeholders
- NZ-localised SEO — NZ English spelling, local search terms, Auckland shipping mentioned
- Google Shopping optimised — proper titles and attributes across the entire feed
- Brand-consistent voice — warm, informed, consistent across every product page
- 150+ hours saved — what would take a month of manual writing is done in days
What AI Can't Do Here
- AI won't photograph your products — you still need quality product images
- AI won't guarantee search rankings — SEO is one factor among many
- AI-generated descriptions need your review — especially for technical products with precise specifications
- AI won't update descriptions automatically when products change — you re-run the process periodically
- AI can't write compelling copy from zero information — the better your source data, the better the output
Who This Is For
- Online retailers with 100+ SKUs and thin or duplicated product descriptions
- Shopify store owners whose Google Shopping feed has poor product data
- NZ e-commerce businesses losing organic traffic to competitors with better content
- Any retailer who knows their product copy needs work but can't justify hiring a copywriter for 600 listings