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Start an assessmentDraft product descriptions from your catalogue data
Create first drafts in your brand style, ready for your team to check against the product information before publication. Each draft is only as good as the data behind it.
AI product description tools use structured product data, such as specifications, materials, dimensions and category, to draft copy in your brand style. Your team checks each draft against the product information before it is published. To judge the time saved, compare the time for finished, checked descriptions under both approaches.
See it run
Product content workflow in practice
The workflow as it runs day to day, with a person signing off at the end. Sample data.
Product content workflowbloobloom product content: the agent reads a product sheet, applies the brand voice and drafts the Shopify page, launch email and Instagram captions for the marketer to approve
The opportunity
How AI drafts product descriptions
AI product description tools use structured product data, such as specifications, materials, dimensions and category, to draft copy in your brand style. Your team checks each draft against the product information before it is published. To judge the time saved, compare the time for finished, checked descriptions under both approaches.
Large catalogues often end up with thin, copied or missing descriptions because writing each one by hand takes time. Manufacturer copy reused by many retailers tells customers little about why to buy from you.
Once the tool has your style guide and examples, it can draft descriptions in batches. The drafts are only as accurate as the product data, so gaps in the data need filling before the copy is useful.
How it works
The steps to a published description
Specifications, attributes, category and any existing copy supplied as structured fields from your catalogue or product information management (PIM) system.
The tool drafts in your defined tone, using your style guide and approved example descriptions.
Agreed keywords and length guidance can be included in the instructions. Search performance also depends on many factors outside the description.
Your team checks each draft against the product data, corrects it and approves it before publication.
How we help
Working with Reformat Labs
We build product description tools that work with your e-commerce platform and product data.
Our page on AI for retail and e-commerce covers other retail and online selling tasks.
Common questions
Questions about AI product descriptions
How does AI generate product descriptions?
The tool takes your product data and drafts descriptions in your brand style from instructions and examples. Better input data produces better drafts. A person checks each draft before it is published.
How does AI follow my brand voice?
We set it up with your style guide, approved examples and written instructions. This configures the tool. It does not retrain the underlying model. More good examples usually give more consistent drafts, and your team still edits the output.
How many descriptions can it draft?
It drafts in batches, so volume is rarely the limit. The limit is how many drafts your team can check properly, so plan the review time before scaling up.
Are AI product descriptions good for SEO?
Drafts can include agreed keywords, follow length guidance and be written for each product individually. Search rankings depend on many other factors, so we make no promise about traffic or sales.
What happens to our copywriting work?
That is your decision. Someone still needs to set the style, check drafts and write copy where judgement matters, such as campaigns and key product pages. Involve the people who write your copy now in testing the tool.
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