AI Product Description Generator: Free Prompt and 8 Examples

Updated 18 October 2026. New guide: a free copy-paste prompt, eight labeled before-and-after examples, SEO and accuracy rules, a whole-catalog workflow and the main tools compared, with prices checked today.

An AI product description generator turns the facts about a product, such as its name, materials, size, features and buyer, into finished copy in your brand voice. The quickest free way to use one is the prompt template below: paste it into an AI chatbot such as ChatGPT or Claude, fill in your facts and keywords, and you get an opening, bullet points, an SEO title and a meta description in seconds.

For a full catalog, the same approach runs inside Shopify's Sidekick, Amazon's Seller Central tools, a dedicated tool or a short API script. One rule never changes: the AI can only be as accurate as the facts you give it, so a person checks every description before it goes live.

Quick answer: which option fits you

Your situation	Best option	Cost, as of 18 October 2026
A few products, no budget	The free prompt below in an AI chatbot	Free plans exist; Claude Pro is $20 a month billed monthly
Shopify store	Sidekick in the product description editor	Listed as included on all Shopify plans
Amazon seller	AI listing tools in Seller Central	Part of Seller Central (Professional plan: $39.99 a month plus selling fees)
Hundreds of products and a developer	CSV file plus an LLM API script	About $0.19 to $7.60 per 1,000 products at batch prices (our estimate)
Large catalog, no code	A dedicated tool such as Describely or Hypotenuse AI	Describely: $0.75 per product up to 500; Hypotenuse AI: custom
Own brand voice, photos, approvals	A custom generator	From $1,500 with Apex Logic, fixed quote

How AI product description generators work

Input. You supply product facts: specs, materials, dimensions, features, audience and keywords. Some tools also read a photo or your product page.
Instructions. A prompt sets the voice, length, structure and what the copy must never say.
Generation. A large language model writes the copy. As Google's guidance notes, generative models "don't retrieve facts" but predict likely words, so they can write confident errors.
Review. A person checks the draft against the facts, fixes it and publishes.

That is why your inputs matter more than the tool. Given "blue shirt, cotton", a model writes filler. Given the fabric weight, fit, care and the buyer's main worry, it writes copy that answers buying questions.

Free AI product description prompt template

Copy this into any AI chatbot and replace everything in square brackets. Keep the rules: they stop the model from inventing specs or making claims you cannot prove.

You are a product copywriter for [store name].

BRAND VOICE: [3 adjectives, e.g. warm, plain, practical]
Words we never use: [list]
AUDIENCE: [who buys this and the problem it solves]

PRODUCT FACTS (use only these):
- Name and type: [e.g. Harbor Linen Shirt, men's shirt]
- Key specs: [materials, dimensions, weight, capacity, compatibility]
- Features: [list]
- Care, warranty, what is in the box: [details]
KEYWORDS: main: [keyword]. Secondary: [2 to 4 phrases]
LENGTH: [50 to 150] words in total
FORMAT: [plain text / HTML with p and ul tags]

WRITE:
1. A 2-sentence opening that names the product type and main benefit.
2. [3 to 5] bullet points, each based on one fact above.
3. An SEO title under 60 characters and a meta description of 140 to 155 characters.

RULES:
- Use the main keyword once in the opening and once in the SEO title.
- Never invent specs, materials, certifications, awards, reviews or results.
- No health, safety or environmental claims unless they are in the facts.
- No superlatives such as "best" unless the facts prove them.
- If an important fact is missing, list it under MISSING FACTS instead of guessing.

Two habits help most. Paste two or three of your best existing descriptions as style examples, because models copy tone from examples better than from adjectives. And write a specific audience line: "runners with wide feet who get blisters" beats "runners".

For more prompt patterns, see our 50 AI prompts for small business. For Amazon, use the channel prompts in our Amazon product description AI guide, because Amazon's title and bullet rules are far stricter than a normal store's.

8 AI product description examples, before and after

All eight products are fictional examples made up for this guide. Each "after" version uses only the facts above it, so every claim traces back to a fact.

Example 1: Fashion, a linen shirt

Facts: men's shirt, 100% linen, 160 gsm, breathable weave, relaxed fit, coconut buttons, sizes S to XXL, machine wash cold.

Before: "Linen shirt. High quality. Comfortable. Available in many sizes."

After: "This men's linen shirt has a relaxed fit and coconut buttons. The fabric is 160 gsm, 100% linen with a breathable weave. Machine wash cold. Sizes S to XXL."

Example 2: Electronics, wireless earbuds

Facts: Bluetooth 5.3, up to 8 hours of playback per charge, 32 hours with the case, IPX4 splash resistance, USB-C, two call microphones.

Before: "Best wireless earbuds with amazing sound and long battery. Waterproof."

After: "Up to 8 hours of playback per charge and 32 hours with the charging case. Bluetooth 5.3, IPX4 splash resistance, two microphones for calls and USB-C charging." The facts say splash resistance, so the AI must not upgrade it to "waterproof".

Example 3: Home, a ceramic planter

Facts: stoneware, 20 cm wide, 18 cm high, drainage hole, saucer, matte sage glaze, fits a 17 cm nursery pot, handmade so the glaze varies.

Before: "Nice pot for plants. Ceramic. Green."

After: "A matte sage stoneware planter, 20 cm wide and 18 cm high, sized for a 17 cm nursery pot, with a drainage hole and saucer. Each one is handmade, so the glaze varies slightly."

Example 4: Beauty, a lip balm

Facts: shea butter and beeswax base, mint oil, 4.5 g tube, no SPF.

Before: "Heals dry, cracked lips instantly. Natural and safe."

After: "A mint lip balm with a shea butter and beeswax base, in a 4.5 g tube. It contains no SPF." "Heals" is a health claim and "safe" a safety claim; neither is in the facts.

Example 5: Food, coffee beans

Facts: single origin, Huila, Colombia, medium roast, whole bean, 340 g, tasting notes of caramel, red apple and cocoa, roasted to order Mondays and Thursdays.

Before: "Premium coffee. Best taste. Fresh."

After: "Medium roast, single-origin whole beans from Huila, Colombia, with tasting notes of caramel, red apple and cocoa. We roast to order every Monday and Thursday. 340 g bag."

Example 6: B2B, steel shelving

Facts: boltless steel, 5 shelves, 1800 x 900 x 450 mm, 265 kg per shelf evenly spread (manufacturer rating), powder-coated, assembles with a rubber mallet, spec sheet available.

Before: "Heavy duty shelving. Very strong. Easy assembly."

After: "Boltless steel shelving with 5 shelves, 1800 x 900 x 450 mm, rated by the manufacturer at 265 kg per shelf with the load evenly spread. Powder-coated; assembles with a rubber mallet. Ask for the spec sheet." B2B buyers want numbers and documents, not adjectives.

Example 7: Digital product, a budget spreadsheet

Facts: Google Sheets and Excel versions, 12 monthly tabs, yearly summary, automatic category totals, PDF setup guide, any currency.

Before: "Amazing budget planner that will change your finances forever."

After: "A budget spreadsheet for Google Sheets and Excel with 12 monthly tabs and a yearly summary that totals spending by category automatically. Includes a PDF setup guide and works in any currency."

Example 8: App store listing, a habit tracker

Facts: app called Pebblejar; daily and weekly habits, reminders, home screen widget, streak calendar, CSV export.

Before: "The #1 best habit app. Download now and change your life."

After: Google Play short description: "Track daily and weekly habits with reminders, a widget and a streak calendar." App Store subtitle: "Habits, reminders and streaks".

Google Play caps the short description at 80 characters and bans words such as "Best" and "#1" there, along with calls to action such as "download now". Apple caps the app name and subtitle at 30 characters each, the description at 4,000 characters and keywords at 100 bytes.

SEO rules for AI product descriptions

Write unique copy instead of manufacturer text

Manufacturer descriptions appear word for word on every store that sells the product, so they give search engines no reason to prefer your page. Google's SEO Starter Guide says duplicate content on your own site is not a spam violation, but it tells site owners not to copy others' content "in part or in its entirety." Use the manufacturer sheet as your facts source and let the AI write new copy from it.

Where to put keywords

Put the main keyword in the product title, the first sentence and the SEO title.
Use synonyms and longer phrases in bullets and body copy, where they read naturally.
Write a unique meta description per product. Google describes a good one as short, unique to one page and focused on the most relevant points.
Never repeat keywords for their own sake: Google says keyword stuffing is against its spam policies.

How long should a product description be?

Google sets no word count. Our rule of thumb: 50 to 150 words for simple, low-price items, and 150 to 300 words plus a specs table for considered purchases such as electronics, furniture or B2B equipment. A good structure is an opening line, three to five fact-based bullets, a specs table, care or sizing notes and a short FAQ. Add Product structured data too; our structured data guide shows how.

Do not mass-produce thin pages

Google's guidance on generative AI content says using AI "to generate many pages without adding value for users" may break its spam policy on scaled content abuse. AI descriptions that each add accurate detail are fine; a thousand near-identical paragraphs are not. If you also send products to Google Merchant Center, it asks for AI-generated titles and descriptions in the structured_title and structured_description attributes, labeled with the trained_algorithmic_media source type.

Accuracy and compliance: never invent specs

Shopify and Amazon warn about the same failure in their own AI tools. Shopify says generated text can include product benefits you did not list; Amazon says AI-generated content can include features and claims that were not in your original listing. Either way, you are responsible for what you publish.

Facts only from your data. Every number, material and feature must trace back to a spec sheet, packaging or supplier data.
Health and safety claims need proof. The US Federal Trade Commission says advertisers must have evidence to back up their claims, and in most cases health or safety claims need "competent and reliable scientific evidence."
Flag risky words for a person: cure, treat, prevent, heal, FDA approved, clinically proven, antibacterial, non-toxic, hypoallergenic, eco-friendly, guaranteed, Made in USA and best. Amazon, for example, prohibits disease claims without FDA approval.
Do not let the AI fill gaps. Ask it to list missing facts. A missing care label is a question for your supplier, not a writing task.
Read regulated categories in full: supplements, cosmetics, baby products, toys, electrical goods and food.

How to write descriptions for a whole catalog

Export your catalog to CSV and fill blank materials, sizes and care details first.
Write a one-page style guide with three of your best descriptions as examples.
Test on 20 products from different categories and compare each draft with its facts.
Generate in batches. Anthropic's Message Batches API, for example, runs large jobs asynchronously at a 50% discount on token prices, as of 18 October 2026.
Run automatic checks for length, risky words and numbers that are not in the facts.
Review and approve. A person approves every regulated product and spot-checks the rest.
Import and measure the approved rows, then watch impressions and clicks in Search Console.

Our step-by-step bulk product descriptions guide has the Python script, a cost formula and the exact Shopify and WooCommerce CSV columns.

AI product description generators compared

Features and prices come from each company's official pages, checked on 18 October 2026.

Option	How it works	Bulk	Price, as of 18 October 2026
AI chatbots (ChatGPT, Claude)	Paste the prompt and facts, copy the result	No	Both have free plans; Claude Pro is $20 a month billed monthly, or $17 a month billed yearly
Shopify Sidekick	Generate icon in the description toolbar; needs a title and at least two features or keywords; desktop only	No	Listed as included on all Shopify plans
Amazon Seller Central AI	Drafts listings from a few words, an image or your own URL; Enhance suggests fixes to live listings	Spreadsheet, new products only	Part of Seller Central
Describely	Ecommerce copy tool with store connectors and CSV	Yes	$0.75 per product up to 500, first 5 free; custom above
Jasper	Marketing AI with brand voices	API and Grid on Business plan	Pro: $69 per seat a month, or $59 billed yearly
Hypotenuse AI	Ecommerce content and product data platform	CSV and XLSX on Enterprise	Custom pricing
Your own API script	CSV in, LLM API writes, CSV out	Yes	Per token: Claude Haiku 5.5 is $0.10 per million input and $0.50 per million output tokens
Custom generator	Your style guide, photo reading, review queue and store sync	Yes	Apex Logic: from $1,500, fixed quote

In short: a chatbot for a few products, the built-in tools for one product at a time, and a script or dedicated tool for hundreds. If you want the custom route, our AI product description generator is built around your style guide, photos and a review queue, from $1,500 on a fixed quote as of 18 October 2026, and you own 100% of the code. Tell us about your catalog and we will say honestly if a cheaper option fits better.

AI product description generator FAQ

Is there a free AI product description generator?

Yes. The prompt template in this guide works in the free plans of AI chatbots such as ChatGPT and Claude: paste it, add your facts and keywords, and copy the result. Shopify merchants also have Sidekick, which Shopify lists as included on all plans as of 18 October 2026. Free options work one product at a time, so for hundreds of products you will want a batch workflow.

Will AI-written product descriptions hurt my SEO?

Not if they are accurate, useful and unique. Google's guidance asks for accurate, high-quality, relevant content however it is made, and it warns that generating many pages without adding value can count as scaled content abuse. Descriptions written from real product facts, with keywords used naturally and a person reviewing each one, are a normal use of AI.

Can AI write product descriptions from photos?

Yes. All current Claude models accept image input, and Amazon's listing tool can start a listing from a product image. Photos help with color, shape and style, but a model can misread materials or sizes from a picture, so always pair photos with a spec sheet and check every detail against it before publishing.

Do I have to say a description was written by AI?

For your own product pages, Google's guidance only suggests explaining how automated content was made where that helps readers. Product feeds differ: Google Merchant Center asks for AI-generated titles and descriptions in separate attributes labeled as AI-generated. Check the rules of each marketplace you sell on, and any local laws.

How do I generate descriptions for my whole catalog?

Export your products to CSV, clean the facts, test one prompt on about 20 products, then run the rest through a batch API or a bulk tool. Add automatic checks for length, risky claims and numbers that are not in your data, have a person approve the results and re-import the approved rows. Our bulk guide walks through each step with code.

Sources

Editor's note: Facts checked against official announcements and documentation on 18 October 2026. These topics are moving fast; prices, availability and features may change.