Good AI prompts for product descriptions give the model the product’s real specifications, a defined buyer, and the words that buyer searches for, then ask for benefits tied to specific features instead of adjectives. For descriptions that also rank, the prompt must keep every claim checkable against your spec sheet, produce text unique to your store rather than a reworded manufacturer blurb, and fit the format limits of where it will appear, such as a product page or a Google Merchant Center feed.
This guide gives you a set of copy-ready prompts for each stage, from turning a spec sheet into benefits to producing SEO-friendly page copy and feed-safe descriptions, with an illustrative before-and-after and a checklist of the claims you should never let a model invent.
Why AI product descriptions tend to sound the same
AI product descriptions sound the same because the usual prompt gives the model a product name and nothing else. With no specifications, no buyer and no differentiator, the model falls back on the most common product-copy phrases it has seen: “premium quality”, “perfect for any occasion”, “elevate your everyday”. Those phrases are on thousands of other pages, so they help neither the shopper nor search engines.
There is also a risk beyond blandness. A model asked to make a product sound good will add plausible details: a battery life, a waterproof rating, a material. Google’s guidance on using generative AI content reminds site owners that model output can contain errors and should be reviewed before publishing, including metadata and structured data. On a product page, an invented spec is not just inaccurate; it is a claim about what the customer will receive.
Every prompt below therefore starts from a fact sheet you control.
Step 1: Build the product fact sheet
A product fact sheet is a short block of verified information the model is allowed to use and nothing else. Spend five minutes on it per product, or generate it from your catalog data for many products at once.
<product_facts>
Name: [exact product name as it appears on the page]
Category: [e.g. insulated water bottle]
Key specs: [dimensions, weight, capacity, materials, compatibility,
certifications you can document]
Variants: [colors, sizes]
What is in the box: [...]
Care / limits: [e.g. hand wash only, not for carbonated drinks]
Verified differentiator: [the one thing that is genuinely different
from the obvious alternative, and how you know]
Common customer questions: [from support tickets or reviews]
</product_facts>
<buyer>
Who buys this: [specific person and situation]
What they compare it with: [the alternative they are weighing]
What makes them hesitate: [price, size, durability doubt, etc.]
</buyer>
<search_terms>
Primary: [the phrase people use for this product]
Secondary: [2-4 attribute or use-case phrases]
</search_terms>The “common customer questions” line is the most underused input. Questions from support tickets and reviews tell you what shoppers need answered before buying, and answering them in the description reduces returns as well as hesitation. If you have a pile of reviews to mine, the prompts for turning customer reviews into SEO content help extract them.
Step 2: Translate features into benefits
A feature is what the product has; a benefit is what that feature lets the buyer do or avoid. This prompt makes the link explicit so you can check each one.
Using only the information in <product_facts> and <buyer>:
1. List each feature in a table with three columns:
Feature | What it lets the buyer do | Fact it is based on
2. Mark any benefit that would need evidence I have not given you
(a test, certification or measurement) with NEEDS PROOF.
3. Pick the 3 benefits that best answer what makes the buyer hesitate.
4. Write a 60-word description built on those 3 benefits.
Do not add specifications, ratings or claims that are not in the facts.
If a useful detail is missing, list it under MISSING instead of
guessing.The “fact it is based on” column is the safeguard. Any benefit whose source cell is empty or vague has been invented. The NEEDS PROOF flag matters for legal reasons too: the FTC’s advertising guidance for small businesses explains that objective claims need a reasonable basis before they are published, and that applies whether a person or a model wrote the sentence.
Step 3: Write for one buyer and their hesitation
Writing for “everyone” produces copy that persuades no one in particular. The fix is to name one buyer, the alternative they are considering, and the doubt that stops them.
Write the product description for the buyer in <buyer>.
Structure:
- Opening sentence: the strongest reason this buyer should choose it,
without repeating the product name.
- 2 short paragraphs: how it fits their situation, using concrete
specs from <product_facts>.
- One sentence that addresses the hesitation directly and honestly.
If the honest answer is "this is not for you if...", say that.
- A bulleted spec list (5-8 bullets) with exact values.
Tone: plain, specific. Replace any adjective that is not supported by a
fact (premium, perfect, ultimate, high-quality, innovative) with the
fact itself, or delete it.Telling the buyer who the product is not for sounds counterintuitive, but it builds trust and cuts returns from people who were never a good fit. The last instruction is the “cut generic adjectives” pass from the earlier version of this article, folded into the main prompt so it happens on the first draft.
Step 4: Make the description SEO-friendly
An SEO-friendly product description is one that uses the words shoppers search for, answers their questions on the page, and is unique enough that search engines have a reason to show your page rather than another store selling the same item. Keyword stuffing is not part of it; repeating a phrase unnaturally makes copy worse for readers and does not help it rank.
The SEO description prompt
Rewrite the description for search, keeping every fact unchanged.
Inputs: <product_facts>, <buyer>, <search_terms>, and the current
description in <draft>.
Requirements:
1. Use the primary search term once in the first two sentences, in a
natural phrase. Use each secondary term at most once, only where
it fits.
2. Add a short "Questions before you buy" section answering 2-3 of
the common customer questions, in 1-2 sentences each.
3. Include the specific attributes people filter or search by
(size, material, compatibility, color) as plain text, not only in
images.
4. Produce, separately:
- A title tag under 60 characters
- A meta description of 140-155 characters
- Alt text for the main product image, describing what is visible
5. Flag any sentence that is substantially the same as the
manufacturer's text in <manufacturer_copy>, and rewrite it.
Return the final description, then the list of changes you made and why.Why each requirement is there
- Primary term early, once. It confirms relevance for the reader and for search engines without distorting the sentence. More repetitions add nothing.
- Questions before you buy. These answer real pre-purchase intent on the page. Long-tail searches are often phrased as exactly these questions.
- Attributes as text. Information that only exists inside an image is harder for search engines and screen readers to use.
- Title and meta separately. They have different length limits and jobs; the guide to meta description prompts covers that piece in depth.
- Manufacturer-copy check. Many stores paste the same supplier description. Google’s canonicalization documentation explains that when pages have very similar main content, Google groups them and picks one to show, so a page that only repeats the supplier’s text has little to offer that the others do not. Duplicate content is not itself a spam violation, but uniqueness is how your page earns a reason to be chosen.
Keep structured data consistent with the copy
If your store outputs Product structured data, Google’s merchant listing documentation lists description as a recommended property rather than a required one. Most e-commerce platforms fill it from the description field automatically. The point to check is consistency: price, availability and attributes in the markup should match what the visible page says. If you write markup by hand, the guide to AI prompts for schema markup shows how to keep it tied to page content.
Step 5: Adapt for a Merchant Center feed
A product feed description has stricter rules than a product page. Google’s description attribute specification sets a limit of 5,000 characters, recommends putting the most important details in the first 160 to 500 characters, and excludes promotional text such as prices, sale details, shipping information and your company name, as well as links, comparisons with other products and all-caps emphasis. It also has a separate structured_description attribute for AI-generated text, which lets you mark the content as algorithmically generated.
Convert the product page description into a Google Merchant Center
feed description.
Rules:
- Plain text only. No HTML, no links, no emojis, no all-caps words.
- Describe only this product (for a bundle, describe the whole set).
- Remove: prices, discounts, shipping/delivery info, store name,
comparisons with other products, category paths, references to
accessories sold separately.
- Put the most important attributes (what it is, size, material,
key spec, variant) in the first 160 characters.
- Keep it consistent with the product title and landing page.
- Maximum 1,000 characters.
Then list every sentence you removed and which rule removed it.The 1,000-character cap in the prompt is a choice, not Google’s limit; the important details need to fit in the visible portion anyway. The “list what you removed” instruction gives you an audit trail, which is useful when a feed item gets disapproved and you need to know what changed.
Before and after: an illustrative example
The product below is invented for illustration: a 750 ml stainless steel insulated bottle sold by a small outdoor store. Assume the fact sheet lists double-wall vacuum insulation, a leak-proof screw lid, a width that fits standard car cup holders, hand-wash only, and not suitable for carbonated drinks. The buyer is a commuter who has had bottles leak in a bag.
Before, from a one-line prompt (“write a product description for an insulated water bottle”):
Elevate your hydration with our premium insulated water bottle! Crafted
from high-quality materials, it keeps drinks ice-cold for 24 hours and
piping hot for 12. Perfect for the gym, office or any adventure, this
sleek bottle is the ultimate companion for your active lifestyle.Count the problems: four unsupported adjectives, a temperature claim nobody gave the model, and no answer to the leak worry. If the store cannot document “24 hours”, that sentence is an unsubstantiated claim.
After, from the step 3 and step 4 prompts with the fact sheet:
A 750 ml insulated water bottle built for bags, not just desks: the
screw lid seals with a gasket, so it can ride sideways next to a laptop.
Double-wall vacuum insulation keeps the outside dry and room temperature
whatever is inside, and the base fits a standard car cup holder for the
drive in.
Not for you if you want a dishwasher-safe bottle or plan to carry
sparkling water: it is hand-wash only and not designed for carbonation.
Questions before you buy
Will it leak in my bag? The lid uses a silicone gasket and screw thread
designed to be leak-proof when closed fully.
Does it fit a car cup holder? Yes, the base fits standard cup holders.The after version uses the search phrase naturally in the first line, answers the buyer’s real worry, makes no claim beyond the fact sheet, and tells the wrong buyer to look elsewhere. Its spec bullets would follow below. For a longer walk-through of this kind of rewrite, see the case of rewriting a thin AI-generated product page.
Variants for testing and for B2B buyers
Once you have one solid description, ask for variants that differ in angle rather than wording, so a test can tell you something.
Write 3 versions of the opening 50-70 words, each leading with a
different angle:
A) the core benefit
B) a specific use case from <buyer>
C) the difference from the alternative the buyer is comparing
All facts must stay identical across versions. Label each angle.For B2B catalogs, the same facts need a different frame: a team buyer cares about total cost of ownership, compatibility with existing tools, support and purchasing logistics more than personal enjoyment.
Rewrite this consumer description for a business buyer purchasing for
a team. Keep every fact unchanged. Shift the emphasis to: operational
fit, compatibility with tools they already use, maintenance effort,
and what they need to know to approve the purchase. Remove lifestyle
language.If you run the variants on a live page, change only the opening and keep everything else identical, so any difference in results can be traced to the angle.
Claims you should never let the model invent
Some details look harmless in a draft but create real liability or returns if they are wrong. Before publishing, check each of these against your own documentation:
- Performance numbers: battery life, temperature retention, load capacity, speeds.
- Ratings and certifications: waterproof ratings, safety marks, “organic”, “BPA-free”, “hypoallergenic”.
- Health and safety claims: anything implying a health effect needs particularly strong evidence under FTC guidance.
- Compatibility: “fits all phones” or “works with any printer” are claims customers will test.
- Origin and materials: “made in”, “genuine leather”, “solid wood”.
- Social proof: “bestseller”, “customer favorite”, review counts or quotes that the model was not given.
Scaling to a whole catalog without thin pages
The prompts above work one product at a time, but most stores need hundreds. The workflow scales if the fact sheet is generated from your catalog fields and the prompt is fixed, with a person reviewing a sample of every batch. What does not work is generating near-identical descriptions for every variant or every product in a category: Google’s guidance warns that producing many pages without adding value can fall under its scaled content abuse policy.
Practical rules for catalogs: write one description per product family and handle colors and sizes as variants rather than separate essays; prioritize the products that bring traffic or revenue for full treatment; and keep a short, factual description for long-tail items instead of padding them. If you are reviewing an existing catalog, the scaled content abuse audit checklist is a good place to start.
Questions about AI product descriptions
How long should a product description be?
Long enough to answer what the buyer needs to decide, and no longer. A simple, familiar item may need a few sentences and a spec list; a technical or expensive product needs more. Put the most important information first either way, because many shoppers will read only the opening lines.
Should I label AI-written descriptions?
For product pages, there is no general requirement in Google Search’s guidance, though it encourages giving users context about how content was made where that helps. For Merchant Center feeds, Google’s specification provides structured_description so AI-generated descriptions can be submitted and marked as such; check the current Merchant Center policies for your situation.
Do these prompts work for services?
Yes. Replace the spec list with what the service includes, how it is delivered, timelines and what the client must provide. The buyer and hesitation sections apply unchanged.
