AI Product Description Generator for BigCommerce | The Complete Guide

Published on July 15, 2025

By Daniel Manco

A step-by-step workflow for automating your BigCommerce product content, from data export to final import.

The Content Scaling Challenge on BigCommerce

The Manual Content Bottleneck: Writing product descriptions, SEO titles, meta descriptions, and other details one item at a time inside the BigCommerce editor is slow and repetitive. When you manage hundreds or thousands of SKUs, that manual work quickly overruns your schedule and stalls product launches.

Why Poor Product Data Hurts Sales: Thin or inconsistent copy leads to lower search rankings, weak click-through rates, and confused shoppers. If your listings don’t answer key questions or highlight unique features, visitors bounce and conversion rates drop.

Common AI Solutions for BigCommerce (And Why They Don't Scale)

Method A: The Native Tool (Native AI Copywriter)

Convenient for one, impossible for one thousand.

BigCommerce now includes an AI Copywriter right inside the product editor. It can draft a single description with a click, which is handy during manual edits. The moment you need to update 500 products, though, you’re stuck repeating the same click-and-edit flow over and over. There is no bulk queue, no spreadsheet upload, and no way to fine-tune prompts across an entire catalog.

Method B: The Integrated Plugin

Better, but still traps your data and limits your workflow.

Several marketplace apps promise AI descriptions for BigCommerce. They live inside your store, so setup feels easy. The downside: they still operate item by item, keep the generated copy in their own interface, and rarely export to a clean CSV. If you later want to push the same products to Amazon or another storefront, you’ll be forced to redo the work.

The Universal Problem: A Content Dead End

Even if these tools generate good content for BigCommerce, they create a major roadblock. The content is now trapped. If you want to sell the same products on Amazon, OTTO, or another marketplace, you can't reuse that work. Each system has different data requirements, and these platform-locked tools cannot format your content for other destinations. This forces you to start from scratch for every new channel, killing your ability to scale.

The Scalable Workflow: A Content Pipeline with Conbase.ai

Moving Beyond Platform-Lock: Export your catalog, process it in Conbase.ai, then import the enriched file back into BigCommerce. Because everything happens in a spreadsheet, nothing is locked to a single storefront and you can reuse the same data anywhere.

Your Data, Your Rules: Working directly with a CSV lets you choose exactly which columns feed the AI and where the output lands. Conbase.ai keeps your formatting consistent and prevents accidental field overrides.

Step-by-Step: Your Complete BigCommerce AI Generation Workflow

Step 1: Export Your Product Data from BigCommerce

Start by downloading a fresh CSV so you’re working with the most recent product data.

  1. In your BigCommerce admin, go to Products > Export.
  2. Select the Bulk Edit template (it includes every available field).
  3. Choose CSV as the file type and leave delimiter settings at their defaults.
  4. Click Continue then Export my Products to a CSV file.
  5. When the file is ready, download it to your computer.

Always check the official BigCommerce 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

AI can only work with what you feed it. Add or verify the following columns so the model has all the context it needs:

  • Product Name
  • SKU
  • Brand Name
  • category_string
  • material
  • color
  • dimensions
  • feature_1_for_description
  • feature_2_for_description
  • search_keywords

Important for BigCommerce: Make sure to include accurate Product Type and category_string values. Product Type must be set to the correct class (for example, "Product" for physical goods) or the item will fail during import. The category_string needs the exact path format Parent Category/Sub-Category. Example: Apparel/Tops. For the full list of supported fields and formats, see the BigCommerce documentation: Supported Product Fields.

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.

  1. Upload your source CSV file.
  2. Configure one or more prompts.
  3. 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 BigCommerce, 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 BigCommerce

Once your CSV is enriched, bring it back into BigCommerce.

  1. In the admin, go to Products > Import.
  2. Upload your enriched CSV file.
  3. Keep the Bulk Edit preset so field mapping matches your export.
  4. Choose Overwrite existing products if you’re updating current listings, or leave it unchecked to add new items.
  5. Start the import and review the summary report for any field errors.

Always check the official BigCommerce 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.

Stop Editing, Start Automating Your BigCommerce Store

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