A product description template that assistants can actually match

Start from the question, not the product

Shoppers ask assistants with constraints attached: something waterproof, machine washable, under a hundred, good for a toddler, fits a carry-on. A description that never contains those words cannot be matched to those requests no matter how elegantly it is written.

So the exercise is not describing the product. It is listing the constraints someone might attach to it, then making sure each one appears.

The structure

Five parts, in this order. It reads naturally and it covers the ground.

• What it is, in the words a shopper would use rather than your internal category name
• What it is made of, with the materials named explicitly
• The measurements, capacity or sizing that decide whether it fits the need
• Who or what it suits, and the situation it is for
• Care, compatibility or anything that would otherwise generate a support email

What to leave out

Superlatives, because every competitor has them and they carry no matching signal. Keyword lists, because a padded title or description dilutes what the product actually is. Claims you cannot substantiate, for the obvious reason and for a less obvious one: an assistant that repeats your claim has now made it on your behalf to a shopper who will hold you to it.

Where the words should come from

Your own product data. The variant options, the type, the existing copy, the specification you already hold in a metafield. Descriptions generated from anything else drift into invention, and a catalog full of plausible fiction is a worse asset than one with visible gaps.

This is the constraint we hold ourselves to when Endcap drafts a description: it works from the product's real attributes and never fills in a material, a measurement or a certification that is not already recorded somewhere.

One more pass, for the legal bits

If your product needs a disclosure, Shopify asks that it sit within the first 6,000 characters of the description for agentic storefronts. Long descriptions with the compliance text appended at the very end can fall outside that window.

How Endcap handles this

Endcap flags descriptions that are missing or too thin to carry the attributes a shopper would name, and it can draft replacements in bulk. The constraint it works under is the one described above: the draft is built from the product's own data, and variant option values are filtered through a vocabulary list first, which exists because internal junk such as test SKUs and warehouse codes leaked into customer-facing copy during testing.

Every draft shows the existing description beside the proposed one, nothing is written until you select it, and the previous value is stored so a batch reverts in one click. It will not invent a material or a measurement that is not already recorded somewhere, which means on a genuinely empty product record it will produce less than you might hope. That is the correct failure.

Common questions