AI Product Description Generator for Magento (Adobe Commerce) | The Complete Guide

Published on July 15, 2025

By Daniel Manco

A step-by-step workflow for automating your Magento (Adobe Commerce) product content, from data export to final import.

The Content Scaling Challenge on Magento (Adobe Commerce)

The Manual Content Bottleneck: Writing unique product names, descriptions, meta titles, and bullet points for thousands of SKUs in Magento is slow and repetitive. Each item can have dozens of attributes, multiple store views, and language versions. Updating all that by hand inside the admin panel turns into days of copy-paste work and easily stalls new product launches.

Why Poor Product Data Hurts Sales: Shallow or missing content makes filters break, site search return fewer results, and Google rank your pages lower. Customers see generic copy instead of clear benefits, which leads to lower add-to-cart rates and a weaker brand impression.

Common AI Solutions for Magento (Adobe Commerce) (And Why They Don't Scale)

Method A: The Native Tool (Adobe Sensei)

Convenient for one, impossible for one thousand.

Adobe Sensei can auto-suggest text for a single product while you are editing it. That is handy when you spot a missing description, but it still ties you to the admin UI and works one record at a time. There is no simple way to bulk-feed Sensei a spreadsheet, tweak a prompt, and regenerate content for every SKU in a category.

Method B: The Integrated Plugin

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

Several Magento extensions promise AI descriptions or SEO text generation. They sit inside the platform, so they inherit the same limitations: single-purpose buttons, no multi-step chains, and content that remains locked inside Magento. When you need the same enriched data for a marketplace feed or PIM, you start over.

The Universal Problem: A Content Dead End

Even if these tools generate good content for Magento (Adobe Commerce), 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 once, process it externally, and import the enriched data back. Working in a standalone CSV gives you the freedom to adjust prompts, add translation steps, or create marketplace-specific formats without being tied to Magento’s UI.

Your Data, Your Rules: Conbase.ai treats the CSV as the single source of truth. You decide which columns feed the AI, which columns store the output, and how many steps run in the pipeline. This keeps your attribute names consistent and makes quality checks simple.

Step-by-Step: Your Complete Magento (Adobe Commerce) AI Generation Workflow

Step 1: Export Your Product Data from Magento (Adobe Commerce)

Use the built-in Data Transfer tool or the Improved Import & Export extension and include every attribute you want to enrich.

  1. In the Admin panel go to System > Data Transfer > Export and set Entity Type to Products.
  2. Tick the attributes you need (make sure attribute_set_code is selected) and click Continue to download the CSV.
  3. If you use the Firebear extension, choose Advanced Export to schedule or filter the export, then download the file.

Always check the official Magento (Adobe Commerce) 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

Good input equals good output. Before you upload the file to Conbase.ai, add or confirm the following columns so the AI has clear context:

  • sku
  • base_name
  • product_type
  • categories
  • brand
  • color
  • material
  • feature_highlight_1
  • feature_highlight_2
  • usp
  • seo_focus_keyword

Important for Magento (Adobe Commerce): Make sure to include the attribute_set_code column in both your export and import files. This value defines which attributes belong to each product. If it is missing or changed, Magento may reject the import or create broken items. Keep the original attribute set and enrich the content inside it instead of altering the structure. For more details, see the Product Data Attributes Reference.

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 Magento (Adobe Commerce), 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 Magento (Adobe Commerce)

When the pipeline finishes, download the output CSV and use Magento’s import tool to apply the updates.

  1. In the Admin panel go to System > Data Transfer > Import and set Entity Type to Products.
  2. Select Add/Update as the Import Behavior, upload the enriched CSV, and validate it.
  3. Once validation passes, click Import. The new descriptions, meta data, and any other generated fields will overwrite or add to existing values while preserving the original attribute_set_code.

Always check the official Magento (Adobe Commerce) 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 Magento (Adobe Commerce) Store

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