You've learned how to write listings, optimise them, localise them, and build store content. Now it's time to turn all of that into a system β a repeatable pipeline that takes any new product from idea to fully packaged listing in 15 minutes.
Today you'll build the product launch playbook that lets you scale without spending your entire week writing content. One product, one prompt sequence, one complete content package.
Here's what used to take a full day:
- Write the product listing (title, bullets, description) β 2 hours
- Write ad copy for Facebook, Google, and Instagram β 1.5 hours
- Write an email announcement for your list β 45 minutes
- Create social media posts for the launch β 1 hour
- Write the product page SEO description β 30 minutes
Total: 5-6 hours per product. If you're launching 4 products a month, that's 20+ hours just on content creation.
With a systematic AI pipeline, the same output takes 15 minutes:
Minutes 1-3: Feed AI your product details β features, target audience, price point, key differentiators. This is your master brief.
Minutes 3-7: AI generates the full listing β title variations, bullet points, and description. You pick the best options and tweak.
Minutes 7-10: Same brief, different output β AI creates ad copy for 3 platforms, an email announcement, and 5 social media posts.
Minutes 10-13: AI generates SEO meta descriptions, collection page copy, and any supporting content.
Minutes 13-15: You review everything, add personal touches, and schedule.
One brief in. A complete content package out. Every single time.
The secret to a fast, consistent pipeline is a master prompt that you reuse for every product. Here's the template:
The Product Brief (you fill in once):
- Product name and category
- Key features (5-7 bullet points)
- Target customer (who buys this and why)
- Price point and positioning (budget, mid-range, or premium)
- Key differentiator (what makes this different from competitors)
- Top 5 keywords for this product
The Content Request (you copy-paste every time):
"Using the product brief above, generate the following: (1) 3 title variations for Amazon/marketplace listing, (2) 5 bullet points in BENEFIT: feature format, (3) A product description under 300 words, (4) 3 Facebook/Instagram ad variations under 125 words each, (5) An email announcement under 200 words, (6) 5 social media captions with hashtags, (7) An SEO meta description under 155 characters."
That one prompt generates your entire content package. Save it. Reuse it. Refine it over time as you learn what works best for your products.
If you're launching multiple products at once β or managing a catalogue of 50+ items β you need a bulk workflow. AI handles this beautifully with spreadsheet-based approaches.
The process:
Step 1: Create a CSV or spreadsheet with one row per product. Columns: product name, features, target customer, price, differentiator, keywords.
Step 2: Give AI the spreadsheet data (paste it in or upload the file) and ask it to generate listings for every row. Most AI tools can process 10-20 products in a single conversation.
Step 3: Export the results back into a spreadsheet format β one column for titles, one for bullet points, one for descriptions. This maps directly to marketplace bulk upload templates.
Step 4: Review and personalise. AI gets you 80-90% of the way there. Your job is the final 10% β checking accuracy, adding specifics only you know, and ensuring everything reads naturally.
For sellers managing large catalogues, this workflow turns days of work into hours. A 50-product catalogue update that would take a week can be done in an afternoon.
Here's your repeatable system for every new product:
Phase 1: Pre-launch (Day 1)
- Complete the product brief template
- Run the master prompt β generate complete content package
- Create listing on marketplace (from AI-generated content)
- Schedule social media posts and email announcement
- Set up ad campaigns with AI-generated copy
Phase 2: Launch week (Days 2-8)
- Publish listing and go live
- Send email announcement
- Post social content on schedule
- Launch ads with 2-3 variations
- Monitor initial performance
Phase 3: Optimization (Days 9-30)
- Review first week's data β CTR, conversion rate, ad performance
- Feed the data back to AI: "Here are my results for the first week. What should I change?"
- Generate new variations for underperforming elements
- Begin A/B testing cycle
- Iterate weekly
This playbook works for your first product and your fiftieth. The AI pipeline handles the content creation; you focus on product selection, customer experience, and growing the business.
A pipeline only works if you can run it consistently. Here's how to save your system for repeated use:
Option 1: Custom GPT or AI project. If you use ChatGPT, create a Custom GPT with your master prompt, brand voice guidelines, and product brief template built in. Every new product launch is just filling in the brief.
Option 2: Prompt library document. Create a simple document with your master prompts, templates, and any refinements you've made. Copy-paste when needed.
Option 3: Spreadsheet automation. For bulk workflows, save your CSV template with the column headers and instructions. New team member? Hand them the spreadsheet and the prompt. They can run the pipeline on day one.
The goal is removing yourself from the bottleneck. A system that only works when you remember the exact prompt isn't a system β it's a habit. Save it, document it, and make it repeatable.