AI for Content and Marketing
Lesson 3: When Marketing Content Goes Wrong – Claims, Tone, and Trust
Lesson Objectives
By the end of this lesson, students should be able to:
- Spot unsupported claims, tone problems, inconsistent offers, and risky images in AI-made marketing.
- Fix each with a targeted revision.
- Add a pre-publish check to their marketing workflow.
Lesson Content
Common AI marketing failures:
- Unsupported claims: "best," "#1," "guaranteed," "eco-friendly," "clinically proven." Remove unless you have proof.
- Health and allergen claims: "gluten-free," "sugar-free," "healthy." Must be accurate and may be regulated.
- Inconsistent offers: dates, prices, or terms that differ between channels.
- Tone mismatch: pushy or hype language that does not fit your brand.
- Risky images: real people without permission, other brands' logos, or images that imply features you do not have.
Pre-publish check: claims, offer details, tone, image rights.
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