Top AI Prompts for Crafting E-Commerce Product Descriptions

List 5 standout features for an organic skincare collection, based on the ‘Spring 2024 Product Insights’ document.

Use Case: Accelerates highlighting key benefits drawn from existing brand materials.

ClickUp Brain Behaviour: Analyzes the linked document to extract product highlights and customer appeal factors.

What keywords are currently popular for fitness clothing under $50 in the US market?

Use Case: Supports SEO-friendly description writing with up-to-date market language.

ClickUp Brain Behaviour: Combines insights from internal marketing reports; Brain Max can supplement with relevant external data if accessible.

Create a concise product summary inspired by the ‘Backpack Design Specs’ and previous campaign notes.

Use Case: Ensures consistent messaging across marketing and sales teams.

ClickUp Brain Behaviour: Extracts key features and style cues from linked files to generate a polished overview.

Summarize pros and cons from user feedback on Brand A vs Brand B using our ‘Earbuds Review Analysis’ doc.

Use Case: Facilitates competitive positioning without manual review.

ClickUp Brain Behaviour: Processes textual and tabular review data to deliver a balanced comparison.

Identify common eco-friendly materials referenced in supplier and product specification documents.

Use Case: Guides material selection for environmentally conscious product lines.

ClickUp Brain Behaviour: Scans internal documents to compile frequently mentioned sustainable materials and their benefits.

From the ‘Jewelry QA Standards’ doc, produce a detailed inspection checklist.

Use Case: Simplifies quality control processes with structured task lists.

ClickUp Brain Behaviour: Extracts criteria and formats them into actionable checklist items within tasks or documents.

Summarize recent trends in smart home tech from post-2023 product reviews and innovation reports.

Use Case: Keeps product descriptions aligned with cutting-edge features.

ClickUp Brain Behaviour: Identifies recurring themes and innovations from linked research materials.

Analyze the ‘Millennial Shopping Behavior Q1’ survey to extract favored app features.

Use Case: Aligns product descriptions with user expectations and preferences.

ClickUp Brain Behaviour: Reads survey data to highlight common desires and feedback trends.

Write concise, persuasive text for a seasonal promotion using the brand voice guidelines in ‘ToneGuide.pdf’.

Use Case: Accelerates marketing content creation with consistent brand personality.

ClickUp Brain Behaviour: Draws from tone references to suggest compelling copy variations.

Summarize key regulatory updates affecting product descriptions and labeling for EU electronics.

Use Case: Ensures product listings meet legal standards and avoid penalties.

ClickUp Brain Behaviour: Processes internal compliance documents; Brain Max can access public regulations if linked.

From ‘Image Guidelines’ and regional marketing docs, create rules for badge positioning.

Use Case: Maintains visual consistency and compliance across e-commerce platforms.

ClickUp Brain Behaviour: Extracts dimensions and placement rules to form a clear checklist.

Using US safety standards and internal design notes, compile a testing checklist.

Use Case: Supports quality assurance teams in verifying compliance.

ClickUp Brain Behaviour: Identifies mandatory criteria and organizes them by test category or risk level.

Summarize sustainable packaging materials used by top brands from competitive analysis documents.

Use Case: Informs packaging innovation and marketing claims.

ClickUp Brain Behaviour: Converts comparative data into an easy-to-read summary or table.

Extract key style and functionality trends from recent product launches and research notes.

Use Case: Guides product description focus towards current consumer interests.

ClickUp Brain Behaviour: Synthesizes insights from multiple internal sources to highlight trends.

Analyze regional feedback documents to identify common product challenges.

Use Case: Drives targeted improvements and accurate product messaging.

ClickUp Brain Behaviour: Extracts and prioritizes recurring issues from surveys, reviews, and support tickets.

Include precise product information

Vague prompts create generic descriptions. Specify product type (e.g., “wireless earbuds” or “organic skincare serum”), key features (e.g., “noise-cancelling” or “all-natural ingredients”), or target audience (e.g., “fitness enthusiasts” or “sensitive skin users”).

Example: “Generate a product description for a lightweight running shoe designed for marathon training.”

Highlight unique selling points by comparison

AI excels at contrasting products. Use prompts like “compare X with Y” to emphasize advantages, features, or style differences.

Example: “Compare the battery life of this smartwatch versus the leading competitor’s model.”

Frame prompts around customer goals

Think of your prompt as addressing a shopper’s problem or desire. Instead of “Write a product description,” try outcome-focused prompts:

Example: “Describe a laptop that helps remote workers stay productive with long battery life and lightweight design.”

Request structured content for clarity

Need bullet points, feature lists, or persuasive paragraphs? Define the format to get precise results.

Example: “Provide 5 bullet points highlighting the eco-friendly aspects of this reusable water bottle with brief explanations.”