AI Product Description Generator for Amazon | The Complete Guide
A step-by-step workflow for automating your Amazon product content, from data export to final import.
The Content Scaling Challenge on Amazon
The Manual Content Bottleneck: Typing unique titles, bullet points, descriptions, and keyword strings for hundreds of SKUs inside Seller Central is painfully slow. Copy-and-paste mistakes creep in, character limits get missed, and the work grinds to a halt every time a category flat file changes.
Why Poor Product Data Hurts Sales: Thin or duplicate content drags listings down the search results, lowers click-through rates, and pushes shoppers toward competitors. Weak bullets and keywords also limit PPC reach, so ad spend climbs while conversions stall.
Common AI Solutions for Amazon (And Why They Don't Scale)
Method A: The Native Tool (Seller Central Listing Assistant)
Handy for one SKU, hopeless for a full catalog.
Amazon occasionally offers on-page content suggestions while you edit a single listing. That helps polish one ASIN, but it doesn’t fill out five bullets, search terms, or category-specific fields for hundreds of SKUs. There is no bulk export, no batch prompt, and no way to reuse the work in other marketplaces.
Method B: The Integrated Plugin
Useful, yet still locks your data inside one tool.
Helium 10, Jungle Scout, and similar tools add an AI “Listing Builder.” They speed up copywriting, but only inside their own editors. You still need to copy the text into Amazon flat files, and you can’t easily export the content for Shopify, OTTO, or eBay. For sellers with thousands of SKUs, that copy-paste loop becomes a second job.
The Universal Problem: A Content Dead End
Even if these tools generate good content for Amazon, the data stays trapped. Moving listings to another channel means rewriting everything or wrestling with mismatched column names. Growth stalls because every new marketplace forces you to start over.
The Scalable Workflow: A Content Pipeline with Conbase.ai
Moving Beyond Platform-Lock: Export your catalog, run it through Conbase.ai, and import the enriched file back into Amazon. Working outside Seller Central frees you to generate, translate, and format content exactly how you want it.
Your Data, Your Rules: A simple CSV lets you pick the columns that feed the AI and control the columns it returns. No hidden fields, no forced templates—just clean, structured data you can audit before it ever touches your listings.
Step-by-Step: Your Complete Amazon AI Generation Workflow
Step 1: Export Your Product Data from Amazon
Grab a snapshot of your current catalog so you have the core identifiers (SKU, ASIN, etc.) ready for the merge later.
- Log in to Seller Central.
- Go to Inventory > Inventory Reports.
- Select Category Listings Report or the report that best covers your catalog, then click Request Report and download the file when it’s ready.
Always check the official Amazon documentation for the most up-to-date information, as interface labels and options can change.
Step 2: Prepare Your CSV for High-Quality AI Output
Conbase.ai delivers the best copy when the source file is rich and well structured. Add the following “Ideal AI Input Source Columns” to your file so the model has everything it needs:
- sku
- base_item_name
- brand_name
- product_id
- product_id_type
- feature_for_bullet_1
- feature_for_bullet_2
- feature_for_bullet_3
- feature_for_bullet_4
- feature_for_bullet_5
- search_term_keywords
Important for Amazon: You must follow a strict two-file workflow. A direct upload of the Conbase.ai file will be rejected.
- Create a "Source" CSV for Conbase.ai: This clean, single-header file must contain your `sku` and rich source columns (`brand_name`, `material`, `feature_for_bullet_1`, etc.) to get high-quality AI output.
- Download the "Destination" Amazon Template: Separately, download the official category-specific Inventory File from Seller Central (Navigate to: Inventory > Add Products via Upload > Download an Inventory File).
- Merge with a Formula: After processing in Conbase.ai, open both files. In your Amazon template, use a lookup formula like `=XLOOKUP(A2, SourceSheet!A:A, SourceSheet!B:B, "")` to pull the new content from your Conbase sheet by matching the SKU. Repeat for every content column (title, bullets, etc.).
Step 3: Process Your Data with a Conbase.ai Pipeline
The process is simple. This video shows you the entire workflow from start to finish.
- Upload your source CSV file.
- Configure one or more prompts.
- Run the generation.
If you prefer a written guide with screenshots, you can find one here: Conbase.ai Workflow Guide.
Find the Perfect Prompt for Your Needs
To get the best results for Amazon, you need a powerful prompt. You can either build your own or use a pre-built template.
- Explore our Generation Guides: We have detailed guides with copy-paste sample prompts for the most common use cases. Learn more
- Browse the Template Library: Check our in-app template library for ready-to-use workflows. (Requires login) Learn more
Step 4: Import Your Enriched Data into Amazon
Now merge the Conbase.ai output into Amazon’s flat file and upload the finished sheet.
- Open both the Amazon Inventory File Template and the Conbase.ai output in the same spreadsheet.
- In the Amazon sheet, locate the first content column you want to fill (for example, item_name).
- Enter an =XLOOKUP (or =VLOOKUP) that matches sku in the Amazon sheet to sku in the Conbase.ai sheet, returning the new content. Copy the formula across all required columns (title, bullets, description, search terms).
- Convert formulas to values, save the file as a tab-delimited text (TXT), and upload it via Inventory > Add Products via Upload > Upload your Inventory File.
Always check the official Amazon documentation for the most up-to-date information, as import rules and options can change.
Workflow Comparison: Conbase.ai vs. Native Tools
- ✓True Bulk Processing: Process 10,000 products from a spreadsheet, not just one at a time.
- ✓Multi-Step Automation: Chain actions together (e.g., Generate > Translate > Format) in a single workflow.
- ✓Platform-Agnostic: One central tool for all your platforms, not a dozen different locked-in solutions.
- ✓Full Prompt & Data Control: Your brand, your rules. You have complete control over the AI's inputs and outputs.
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