You use AI to write WooCommerce product descriptions by exporting your products to a CSV, feeding the product name, key attributes, and target customer into a prompt that asks for a description in a fixed format, then importing the finished text back into WooCommerce using the product ID as the matching key.
The AI does the first-draft writing; the CSV round-trip is what keeps every description attached to the right product. Skipping the export step and pasting descriptions in by hand works for five products and falls apart at five hundred.
The WooCommerce export-import workflow
Here is the sequence that actually holds together. In WooCommerce, go to Products, then Export, and generate a CSV of all products. Open it and keep only the columns you need: ID, SKU, Name, Categories, Tags, Short description, and Description. Everything else just adds noise to your prompt and to the re-import.
Next, write one description per row using a prompt template. A template that works looks like this: "Write a 60-word product description for [Name]. Category: [Categories].
The buyer is someone who [one sentence about the customer]. Mention the material and the main use case. Do not invent dimensions, certifications, or warranty terms.
Plain English, no exclamation marks." That last instruction matters more than it looks. AI models fill gaps with confident-sounding detail, and an invented warranty claim on a product page is a legal problem, not a style problem.
If you want a deeper look at that failure mode, see How do I stop ChatGPT from making up fake facts in my content?.
Paste the finished text into the Short description and Description columns, save the CSV as UTF-8, then go to Products, then Import, upload the file, and map each column to its WooCommerce field. The critical setting is matching on ID or SKU, not on product name. Names get edited. IDs do not. If you match on name and one product's title changed since the export, WooCommerce creates a duplicate product instead of updating the original.
What AI description generators get wrong
The common failure is not bad grammar. It is sameness. Ask for twenty descriptions in one batch without varying the prompt and you get twenty paragraphs with the same rhythm and the same three adjectives. Google does not penalise that directly, but your customers notice, and a category page where every product reads identically converts worse than one with a little texture. The fix is to vary the angle per row: lead with the material on one, the use case on the next, the customer on the third.
The second failure is attribute drift. If your CSV says a jacket is cotton and the prompt does not repeat that, the model may write "breathable synthetic blend" because that phrasing is statistically common. Always pass the real attributes into the prompt rather than trusting the model to infer them from the product name.
A worked example
Say you sell ceramic mugs. Row 47 in your export has ID 812, SKU MUG-BLK-12, Name "Matte Black Ceramic Mug 12oz", Category "Drinkware", Tags "ceramic, matte, 12oz". Your prompt produces: "A 12oz matte black ceramic mug with a smooth, non-reflective finish that hides fingerprints.
Holds a full large coffee with room to spare. Dishwasher safe. Pairs well with a desk that already has too many mugs on it."
You paste that into the Description column for row 47, re-import, and WooCommerce updates product 812 in place. Multiply that by your catalogue and the job that took an afternoon takes about as long as reviewing the output.
Where this breaks down
This workflow does not suit products with regulated claims. Supplements, medical devices, and anything with safety language need a human writing the copy, because the model cannot know which claims are legal in your market. It also struggles with highly technical catalogues, like industrial parts where the description is really a specification table. In those cases the AI can format the spec, but a person has to supply it.
Budget for review time. Reading and correcting 300 descriptions is real work, and the correction step is where quality actually comes from. The other cost is your own time on the first pass: writing a good prompt template takes longer than writing one description, and it only pays off if you have enough products to reuse it. For a store with a dozen items, write them yourself.
One tip worth keeping: add a column called "reviewed" and set it to "no" on import, then flip it to "yes" as you check each row. It is a cheap way to avoid publishing a description you never read.