AI product descriptions without invented claims

AI can turn a product brief into readable copy. Problems start when the draft invents a material, compatibility claim, result or warranty that nobody has checked.

Begin with confirmed facts

Gather dimensions, materials, uses, package contents, variants, delivery conditions and known limits. Add real customer questions. Give these facts to the writing tool and ask it to mark any missing information instead of filling the gaps.

The first draft might contain a summary, benefits, specifications and answers to buying concerns. A person who knows the product still needs to review every claim.

Help buyers make a decision

A useful page explains who the product suits, when it helps and what a buyer should know before ordering. Generic praise adds little. Use a measurement, demonstration or clear photo when one is available.

Keep page and product data consistent

The visible price, availability and variants should match the store's product data. Product structured data may help search engines interpret a product page under their eligibility rules, but it does not replace accurate content or a working purchase path.

Final review

1. Compare every claim with the product source.
2. Remove promises you cannot substantiate.
3. Check that the opening answers the buyer's main question.
4. Read the page on a phone before release.

Sources: Google guidance on generative AI content and Product structured data documentation.

Prepare facts before the prompt

Create an approved fact sheet for every item: dimensions with units, materials, variants, box contents, tested compatibility, care instructions, limitations and source. Add the review date. Mark missing fields as unknown. An AI tool should not infer waterproofing from a photograph of a bag or compatibility from the shape of a connector. If suppliers use conflicting terms, resolve the difference in the catalog before generating copy.

Ask for a draft that identifies the source field behind each factual claim. Let the tool improve order and clarity while requiring it to flag missing data. A vague instruction to write persuasive copy can encourage unverified promises. A brief based on verified facts, buyer needs, limitations and fields that must remain blank makes review more reliable.

Use a line-by-line review sheet

Compare the draft with the fact register. Check the title, dimensions, variants, intended use and included items. Have a product owner review sensitive claims. Then ask someone who has never handled the item to explain what they would receive and what the product cannot do. That answer measures clarity better than the number of persuasive adjectives.

Remove phrases such as premium quality when no observable criterion supports them. Describe a verified feature and its practical effect instead: a measured opening, a closure type or a washable part according to supplied instructions. Show relevant limits when they affect the purchase. An exaggerated promise may attract attention and then create returns or support questions.

Measure a small pilot

Choose ten varied products, including some with incomplete data. Time fact collection, generation, review and correction, then compare the total with writing manually. Track factual errors, buyer questions and returns too. If editing erases the time saving, improve source data or narrow the tool's role first.

After publication, revisit descriptions when a supplier changes a feature or variant. Initial approval does not keep text accurate forever. Record who can approve changes and retain the facts used for each version. AI can speed up structured drafting; the store remains responsible for the information buyers read. For broader principles, consult Google's people-first content guidance.

Make accuracy repeatable

Create a product template with separate fields for characteristics, demonstrable benefits and limitations. A measurement from a supplier sheet can be dated and checked; a promise such as suitable for everyone needs evidence that is rarely available. Keep versions and the reviewer's identity. If a customer return points to an inaccurate description, you can trace the claim, its source and when it changed.

Only automate after this process is stable. A batch of one hundred poorly documented pages costs more to correct than ten reviewed drafts. If several products receive identical copy despite different sizes or materials, revise source fields and prompting. Quality comes from a chain of reliable facts, not from the volume of generated text.

Compare the page with the delivered item

Once a month, pick a small sample of shipped products. Put the current page beside the actual item and packing slip. Check color, dimensions, included parts and operating limits. Photograph any discrepancy and give it to the product owner. This exercise catches catalog changes that no writing tool could infer from an old data feed. It also helps distinguish a copy error from a warehouse substitution.

Read support questions and returns for the sample. If buyers repeatedly ask what is included, move that answer above decorative copy. If they choose the wrong variant, improve the selector and image captions. The goal is fewer uncertain purchases, not simply more words on the page.