Furniture Product Descriptions: Verified Facts, Useful Copy & AI

Build a fact record before drafting

Start with the supplier specification, approved imagery and the current product record. Confirm permission to use supplier material. Preserve technical accuracy when rewriting; copying an approved dimension is different from copying an entire sales pitch. Record conflicting sources for resolution instead of letting the writer choose the more appealing claim.

The product content audit can help find gaps. A missing care instruction belongs on the internal follow-up list until confirmed; do not fill the space with a plausible washing recommendation.

Write for the decision the customer is making

Start with the item and its relevant distinction. Follow with a short explanation and scannable facts. Keep specifications easy to find rather than hiding them behind an aspirational introduction. Explain unfamiliar terms only when you can do so accurately.

• •Name the selected product and variant, then describe a supported feature that matters to the shopper.
• •State the relevant measurements with units and labels. A single width does not prove doorway access or comfortable seating capacity.
• •Explain what is included and distinguish styling props or optional accessories.
• •Place maintained delivery, return and availability information where the buyer can find it. Avoid duplicating changing terms across many paragraphs.
• •Use real detail instead of unsupported labels such as indestructible, stain-proof or guaranteed to fit.

A fictional rewrite, with an explicit evidence boundary

Use AI to draft from the record, not complete it by guessing

Supply only approved material and a clear destination. Ask the model to list missing facts separately from customer copy. Do not paste customer personal information into the prompt. A useful instruction can be short and specific:

Check the claim-to-source list yourself. It is another model output, not independent verification. Compare the draft line by line with the real record, then inspect the published page and selected variant. Keep the approved version, reviewer and source date together. Use the claims and message brief when adapting the description for advertising.

Keep the page, images and shopping feed consistent

Match the description to the selected product, including features that need a detail image rather than appearing in the hero shot. Do not force the copy to describe an AI image that altered the item. Fix or replace the image and use the image review checklist.

Google’s Merchant Center description specification requires consistency with the landing page and product data. Its description field is for the product itself; promotional terms, shipping details and store policies belong elsewhere. Do not copy the entire product page into that field.

The same specification requires AI-generated descriptions to use structured_description with digital_source_type set to trained_algorithmic_media. This is a Merchant Center data requirement, not a universal website label rule. Check your feed provider’s current mapping and inspect the submitted record; editing visible page copy alone does not verify the feed.

Review claims and usefulness before measuring sales

Only publish customer counts, review excerpts or product rankings when you have the underlying record, applicable permission and an accurate scope and date. Do not invent social proof. A high return count for one color does not establish that another is better: sales volume, reasons and product changes may differ.

1. Check every factual claim and selected variant against the source record. Resolve contradictions and missing material facts.
2. Inspect the live text, images, specifications and links on mobile. Confirm the same information remains accessible without depending on a decorative image.
3. Ask a reader to find the product’s dimensions, material, included pieces and next step. Record incorrect or missing answers and revise.
4. For an experiment, define eligible product-page visits, the comparison, purchase or inquiry outcome and observation window in advance. Keep price, stock and other changes visible in the record.
5. Review questions, incorrect-expectation returns, purchases and data coverage. Fewer questions can mean clearer copy or less interest; interpret them with other evidence.

The online-sales diagnosis guide explains how to connect this work to a purchase journey. A factual correction is worth making even before there is enough traffic for a conversion experiment. Report accuracy improvements separately from unproven sales effects.