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Getting the Most from AI-Generated Content

By FeedOn Team ·

AI Content Generation Is Only as Good as Your Setup

FeedOn uses AI to generate product titles, descriptions, attribute extractions, and more. But the quality of AI output depends heavily on how you configure it. A well-configured Brand Brief produces content that sounds like your copywriter wrote it. A default setup produces generic content.

This guide shows you how to get the best results from FeedOn's AI features.

Setting Up Your Brand Brief

The Brand Brief is the foundation of all AI-generated content in FeedOn. It tells the AI who you are, who your customers are, and how you communicate.

Voice & Tone

Define your brand's personality:
- Professional & authoritative — Good for B2B, luxury, medical/health
- Casual & friendly — Good for lifestyle, food, general retail
- Bold & edgy — Good for fashion, streetwear, youth brands
- Warm & nurturing — Good for baby products, organic, wellness

Be specific. "Professional" is too vague. "Confident and knowledgeable, like a trusted advisor who respects the customer's intelligence" gives the AI much more to work with.

Brand Guidelines

Add specific do's and don'ts:
- "Always capitalize our brand name as 'EcoWear', never 'Ecowear' or 'ECOWEAR'"
- "Never use the word 'cheap' — use 'affordable' or 'value'"
- "Always mention our sustainability commitment when describing materials"
- "Don't use exclamation marks in titles"

Target Audience

Describe your ideal customer. The AI adapts its language based on this:
- Demographics (age range, location, income level)
- What they care about (quality, price, sustainability, style)
- How they shop (research-oriented, impulse, trend-driven)

Output Language

FeedOn supports generating content in 23 languages. Set this in your Brand Brief and all AI operations — titles, descriptions, attributes — will generate in that language. Brand names are kept in their original form (not translated).

Supported languages: English, Arabic, Chinese (Simplified & Traditional), Czech, Danish, Dutch, Finnish, French, German, Greek, Hindi, Hungarian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, and Turkish.

Channel-Specific AI Configuration

When you run an AI Booster, you can specify the target channel. This matters because each channel has different requirements:

Google Shopping — AI generates keyword-rich, structured titles following the Brand + Type + Attributes formula. Descriptions are informative and specification-focused.

Meta (Facebook/Instagram) — AI generates benefit-focused, engaging descriptions designed for discovery. Titles are concise and compelling.

TikTok Shop — AI generates trend-aware, conversational content. Shorter descriptions, benefit-first titles.

Custom — If you need content for a specific platform or use case, provide custom guidelines in the Booster configuration.

Reviewing AI Output

AI-generated content should always be reviewed before publishing. Here's an efficient review workflow:

Spot-Check Strategy

You don't need to read every generated title. Instead:
1. Check the first 10 — Look for tone, accuracy, and formatting
2. Check outliers — Sort by length and review the shortest and longest
3. Check by category — Sample 2-3 products from each product category
4. Check edge cases — Products with unusual names, very long descriptions, or limited data

Common Issues to Watch For

  • Hallucinated features — AI might add features that don't exist. Check that generated content only mentions attributes present in your data.
  • Inconsistent formatting — Look for mixed capitalization, inconsistent punctuation, or varied structures.
  • Wrong brand voice — If the AI sounds too corporate for your casual brand (or vice versa), refine your Brand Brief.
  • Missing key attributes — Ensure the AI includes important differentiators like size, color, material.

Advanced Tips

Use Brand Guidelines for Common Corrections

If you notice the AI consistently making the same mistake, add a guideline:
- AI keeps writing "eco-friendly" but you prefer "sustainable" → Add to guidelines
- AI includes the size in titles but you don't want that → Add "Don't include size in titles" to guidelines

Iterative Improvement

Your first AI run probably won't be perfect. The workflow is:
1. Run the AI Booster on a small batch (50-100 products)
2. Review the output
3. Adjust your Brand Brief based on what you see
4. Re-run on the full catalog

Combine AI Features

Get the most from FeedOn by combining features:
1. Attribute Extraction first — Use Vision AI to extract colors, materials, and styles from images
2. Title Generation second — Now the AI has richer data to work with
3. Description Generation third — Descriptions reference the extracted attributes
4. Creative Studio — Generate lifestyle images using the full product context

Export Preview

Before publishing to any channel, preview your export. FeedOn shows you exactly what will be sent, so you can catch any issues before they reach Google or Meta.

Measuring AI Content Quality

Track these metrics after publishing AI-generated content:
- Approval rate — What percentage of products pass channel validation?
- CTR change — Compare click-through rates before and after AI optimization
- Disapproval reduction — Are fewer products getting rejected?
- Time saved — Track how long manual optimization took vs. AI + review

Next Steps

Ready to put this into practice? Start your free 7-day trial — no credit card required. Connect your product feed and see results in under 5 minutes.