How to Write Product Descriptions with AI Quiz

Answers and explanations appear as you take the quiz.

1. Which is a benefit-led rewrite of '18-gauge powder-coated steel frame'?
   • 18-gauge steel, powder-coated
   • A steel frame with a powder coating that resists chips and rust in everyday use
   • The best frame ever made
   • Premium quality you will love
2. What keeps hundreds of AI-generated descriptions consistent in style?
   • Writing a different prompt for each product
   • Using the highest temperature setting
   • Letting the AI choose the format each time
   • A fixed template, a style guide and a few approved examples
3. If a spec is missing from the input data, what should your prompt tell the AI to do?
   • Guess a typical value for that kind of product
   • Skip the product entirely
   • Write 'MISSING' so a person can fill in the real value
   • Copy the value from a competitor's listing
4. In the United States, who is expected to have evidence for objective claims in product copy?
   • The advertiser or seller making the claim
   • Only the manufacturer
   • Nobody, if an AI wrote the text
   • Only companies that run TV ads
5. Which FTC guidance covers environmental claims such as 'eco-friendly' or 'recyclable'?
   • The Nice Classification
   • The Green Guides
   • The USPTO trademark rules
   • The GDPR
6. Which automated check after generation best catches invented specs?
   • Counting the adjectives in each description
   • Translating the copy into another language
   • Flagging any number or material in the output that does not appear in the spec sheet
   • Making every description longer
7. What has Google said about AI-written content?
   • It judges content on quality and helpfulness rather than on how it was produced
   • It bans all AI-written product copy
   • It ranks AI-written copy above human-written copy
   • It removes any page that uses AI
8. Why is generating descriptions from product photos risky?
   • Photos cannot be uploaded to AI tools
   • Photos make generation too slow to use
   • Photo-based text is always inaccurate
   • The AI may guess attributes like material, color or size and get them wrong