Template

Automate Product Description Generation at Scale

Optimize your Ecommerce Store Product Listings by Automating the Process of Writing SEO product descriptions using AI.

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Workflow

Workflow

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Workflow

Workflow

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Workflow

Workflow

Writing unique, conversion-ready product descriptions for large catalogs is time-consuming and expensive. Yet 87 % of shoppers say detailed copy is “very important” to their purchase decision, and incomplete information is responsible for up to 20 % of abandoned carts. Our “Generate Product Description” app removes that bottleneck by blending live SERP analysis with multimodal AI—similar in approach to our insights on content automation—giving you optimized copy in seconds.

Walkthrough: how the app is built

Inputs
You enter three fields—Product Title, Product Category, and a Product Image URL. That’s all the data the workflow needs.

Inputs Setup

Step 1 – SERPs Search
The SERPs node queries Google for your exact product title and brings back the top five organic results. Each result includes title and snippet text—prime material for spotting keywords, benefit framing, and customer intent.

Step 2 – Python formatting
Raw JSON isn’t friendly for a language model, so we run a short Python script that loops through the results and outputs a clean, readable block of titles and snippets separated by “–––”. This keeps the prompt tidy while preserving every useful phrase.

Step 3 – GPT-4o copywriting
The Chat Model receives: (1) your title and category, (2) the formatted SERP overview, and (3) the product image. The system message positions the model as an ecommerce SEO specialist, temperature is kept low for factual precision, and the prompt caps the length at 200 words in a single paragraph—perfect for most PDP layouts. GPT-4o cross-references the image (colors, style cues) with dominant SERP keywords to craft a description that matches search intent, highlights visual features, and stays within the word limit. This methodology echoes best practices discussed in our article on Building High-Quality AI Content Pipelines.

Custom Python Function

Output
A ready-to-publish paragraph that hits both conversion and SEO requirements—no extra trimming needed.

Ways to customise this template

Customization Feature

Description

Add tone controls

Embed brand-voice guidelines to ensure all descriptions reflect your unique style. Learn more about maintaining a consistent brand voice here.

Expand SERP depth

Increase the number or type of search results to capture broader or more specific customer insights.

Multi-variant testing

Automatically generate and test different copy variants for A/B/C optimization. For example, check out our content automation examples to see similar strategies in action.

Enrich with specs

Include detailed product information to meet marketplace requirements and improve accuracy.

Auto-schema handoff

Convert finished content into JSON-LD schema for seamless rich result integration. This process echoes the principles of automated content optimization techniques.

Running the App at Scale

  1. Prepare a CSV file: Compile a CSV file containing multiple rows of product titles, categories, and image URLs for all the items you wish to generate descriptions for.

    Chat Model
  2. Map Your Inputs: In the Bulk Runs feature, match each column in your CSV to the app’s input fields, ensuring that product title, category, and image URL are correctly aligned.

  3. Execute the Bulk Job: Run the job to iterate through each product entry. The Bulk Runs feature processes all the rows sequentially, generating optimized product descriptions for each one automatically.

Bulk Job Setup

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Content Growth Engine

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