How to Generate Amazon Backend Keywords with AI in conbase.ai

Published on July 08, 2025

By Daniel Manco

Introduction

  • The Goal:
    • By the end of this guide, you'll be able to automatically create backend keyword strings for hundreds or thousands of product listings in minutes, transforming your Amazon SEO workflow.
  • The Problem:
    • Manually compiling search terms for each SKU is slow, inconsistent, and doesn't scale. Teams often spend hours researching keywords, leading to missed ranking opportunities and delayed launches.
  • The Solution:
    • Conbase.ai lets you build a custom AI pipeline that understands your category, competition, and byte limits. With one prompt, you can generate optimized backend keywords for every listing in your catalog.
  • Prerequisites:
    • You need:
      • A Conbase.ai account
      • A CSV file containing your product data with columns like title, bullets, description, brand
      • Basic familiarity with Amazon's 250-byte backend search term rule

Are you here for the first time ? Then watch a full conbase.ai workflow in action

This video walks you through a complete conbase.ai workflow, from input to final output, so you can see exactly how the platform works and how to get the most out of its features.

Step 1: Set Up Your Project and Import Data

Create a New Project

Log in, click "New Project," and name it "Amazon Backend Keywords - 2025-05-12" so you can find it later.

Upload Your Product Data (CSV)

Upload the CSV that holds the listings you want to optimize. Conbase.ai supports files up to 10,000 rows.

Key tips for data preparation:

  • Use clear column headers like title, bullets, description, brand
  • Strip HTML tags from descriptions before upload
  • Remove duplicate SKUs to avoid double processing
  • Keep text under Amazon's limits - clean data means cleaner keywords

After the upload finishes, check the preview table to confirm every column imported correctly.

Step 2: Build Your AI Generation Pipeline

Add an Action Step to the Pipeline

Click "Add Step," choose "Create New," and name the step Generate Backend Keywords.

You can also open the template library and start from the Amazon Backend Keyword Generator template if you prefer a head start.

Set Up Your Custom Prompt: A 3-Part Recipe

This prompt tells the AI exactly how to build your keyword list.

Part 1: Instruction

You are an Amazon listing expert. Generate a single comma-separated string of backend keywords for the given product. Do not repeat words, use only lowercase, no quotes, no brand names, stay under 240 bytes.

Part 2: Context (Row Data)

Insert dynamic product data so the AI can tailor keywords to each listing:

Title: {title} Bullets: {bullets} Description: {description} Brand: {brand}

Part 3: Output

  • Select or create the column backend_keywords as the target.
  • Add an example so the AI knows the style you want:

Output Column: backend_keywords Output Example: noise cancelling headphones, wireless bluetooth headset, over ear audio, long battery life

Click "Save Changes" to lock the prompt in.

Step 3: Configure and Run the Pipeline

Fine-Tune AI Settings

  • Model: "GPT-4o"
  • Processing Mode: "Instant" for testing and for fast execution, "Scheduled" for large batches and 50% less API costs
  • Integration: "Fill if empty" leaves available data untouched

Select Rows and Execute

  1. Select 5-10 rows and click Run Pipeline.
  2. Review the output for clarity, byte count, and relevance.
  3. Tweak the prompt if necessary, then process the full dataset.

Step 4: Review and Export Your Results

Preview the Generated Keywords

  • Open random rows to confirm the AI stayed within Amazon's 250-byte limit.
  • Check for duplicate or irrelevant terms.
  • Remove any policy-violating words before export.

Export Your Enriched Data

  1. Click the export button in the lower right corner.
  2. Download the CSV that now includes the backend_keywords column.
  3. Import the file into your listing tool or Seller Central bulk sheet.

Conclusion and Next Steps

You just automated Amazon backend keyword creation for your entire catalog. What used to eat up whole afternoons now takes minutes with consistent, high-quality output.

  • Time saved: Compare manual research hours with the pipeline run time.
  • Quality boost: Uniform keyword strategy across every listing.
  • Scalability: Same workflow works whether you manage 10 SKUs or 10,000.

Book Your Free Conbase.ai Demo and see how else you can streamline content operations.

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