By Steve Merrill, Founder of WRKNG Digital | September 10, 2026
Your product description was written to make a person feel something. An AI assistant doesn't feel anything. It scans for a fact it can quote, and if it can't find one fast, it moves to the next store.
I ran an ecommerce brand to $10M a year. I know how much love goes into a good product page. It's hard to hear that a machine skips most of it. But that's the read I get on store after store.
Here's how to write a description an AI will actually quote.
What does an AI assistant pull from a product description?
It pulls the specific, checkable claim. The one with a number, a material, a use case, or a fit. "Merino wool, 200gsm, rated to 20 degrees" is quotable. "Buttery-soft comfort you'll live in" is not.
Adjectives don't survive the trip. A model can't verify "buttery-soft," so it drops it. Facts survive. Write more of the second kind.
Lead with the answer, not the mood
Put the sale-deciding fact in the first sentence. What it is, what it's for, who it fits. Then earn the mood later if you have room.
An assistant answering "what's a good midweight base layer" reads the top of your description and stops. If sentence one is a feeling, it has nothing to quote and it keeps going.
Answer the question the buyer actually typed
People ask assistants real questions. "Will this fit a wide foot." "Is this safe for a gas stove." "Does this run small." Write the answer into the description in plain words.
When your text contains the answer to the question, you become the source. When it doesn't, the model guesses from reviews or names a competitor who spelled it out.
Back the words with matching data
Every claim in the copy should also live in your structured data. Move the same facts into your Product schema and confirm the values are real with the Schema.org validator.
When the words on the page and the data behind the page agree, a model trusts the claim. When they disagree, it treats the product as unreliable and skips it. Line up the copy with the feed too, using the Google Merchant product data specification.
Write one quotable sentence per product
Give each product one clean, complete sentence that a model could read out loud as an answer. Fact, use, fit. No hype words. No filler.
That sentence is what gets you named. This is the read we run in a WRKNG audit. Which of your descriptions a model can quote, which ones read as noise, and where the copy and the data stop agreeing.
Further reading
Frequently Asked Questions
Why won't AI quote my Shopify product descriptions?
Because most descriptions lead with feeling instead of fact. An AI assistant quotes specific, checkable claims like material, weight, or fit. It can't verify adjectives like buttery-soft, so it drops them and moves to a store that stated a real spec.
What makes a product description quotable by AI?
One clean sentence with a fact, a use case, and a fit, placed high on the page. State what the product is, what it's for, and who it fits in plain words so an assistant can lift it whole as an answer.
Do product descriptions need to match my schema?
Yes. Every claim in the copy should also appear in your Product schema with real values, and match your product feed. When the words, the schema, and the feed agree, a model trusts the claim. When they disagree, it treats the product as unreliable.
Should I remove marketing language from product pages?
You don't have to remove it, but lead with the fact and put the mood second. The first sentence is what an assistant reads before deciding to quote you, so it has to carry a checkable claim, not a feeling.
Want to know if AI assistants can actually find and recommend your store? Get a free AI-visibility read on your Shopify store at WRKNG Digital. We show you exactly what ChatGPT, Perplexity, and Google AI see when they look at your products.
