AI Product Descriptions: A Fact-Checking Workflow

“Waterproof”, “organic” and “scratch-proof” can appear in an AI-written description even when the supplied specification says none of them. Review the draft as a list of claims to verify, not a block of prose to approve because it sounds convincing.

Use the workflow below when drafting a new listing or refreshing a catalog. It separates copy quality from factual approval, so a convincing sentence does not slip through simply because it reads well.

Build a small source record first

Collect the exact product identifier, selected variant, material, dimensions, decoration area, care instructions and any confirmed limitations. Add the source and review date for each field that could change.

Keep unknowns explicit. If you have no verified capacity measurement, write “capacity unconfirmed” in the working record rather than inviting the model to infer one from a photograph. Do not include customer personal data or confidential material unless the tool and workflow are approved for that information.

Distinguish a confirmed specification from your own interpretation. “Has an interior pocket” and “ideal for every commute” are different kinds of statement; the latter needs more thought than copying a feature field.

Give the drafting tool a boundary

A useful instruction is: “Use only the supplied facts. Mark missing information. Do not invent certifications, environmental benefits, delivery times, reviews or performance claims.” Ask for a list of factual claims alongside the draft.

This can make review easier, but it does not guarantee compliance. Google’s guidance on generative AI content emphasizes accuracy and review, including metadata. You remain responsible for what reaches the page.

Audit sentences in three groups

Sentence type	Review action
Verifiable specification	Match it to the correct source and variant
Benefit or use suggestion	Check whether the feature supports the interpretation
Unsupported assurance	Remove it or obtain appropriate evidence

For a hypothetical tote listing, “Cotton canvas with an interior pocket” can be checked against specifications. “Keeps valuables secure in any weather” adds claims about closure and weather performance that the first sentence does not establish.

Inspect adjectives carefully. “Organic,” “recycled,” “food-safe,” “scratch-proof” and “guaranteed” are not harmless filler when they describe a product. Do not soften an unsupported statement slightly and treat that as verification.

Use a claim ledger and one clean rewrite

Imagine your verified input says only: “cotton canvas tote; open main compartment; interior pocket.” The generated draft reads: “This waterproof organic tote keeps your valuables secure in any weather.”

On a small screen, scroll the table sideways to read every column.

A restrained rewrite is: “A cotton canvas tote with an open main compartment and an interior pocket for separating smaller items.” It explains a feature without inventing a certification or performance guarantee.

Keep the ledger short enough to use: claim, source, decision. Flag an important missing fact for confirmation instead of filling it with a softer guess. If the source later changes, the ledger shows which sentences need another review.

Keep variants and images connected

Check whether each claim applies to every offered size, color or material. A dimension from one variant must not become the specification for the whole family.

Compare image captions and alt text too. A conceptual scene should not be presented as a photographed sample. Do not claim a detail visible in an invented image is part of the actual product.

Review related recommendations for the same issue. Suggesting a matching bundle does not establish that all items share a material, finish or dispatch arrangement.

Review the title and search description separately

After the body is correct, inspect the page title, meta description, feed text and structured data. These shorter fields often acquire stronger claims during rewriting because the copy is trying to be persuasive in limited space.

Use a precise product name and relevant distinction. Avoid adding “best,” “certified” or a delivery promise merely to make a search snippet more appealing. If you submit AI-generated product data to a merchant platform, check its current content-labeling and submission requirements before publishing there.

Keep the final approval traceable

Save the source record, edited copy, unresolved questions and the approved version together. State who can confirm product facts and who can release the page. Do not invent a human reviewer or claim a physical test that did not occur.

For broader visual review, see the AI-assisted design workflow. Before release, use the product-page checklist to inspect the complete customer experience.

The goal is useful, readable copy whose factual boundaries are as clear as its benefits.