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Best Practices

Tips for getting the best results from AI Content Studio.

Content Generation Best Practices

1. Start with Good Product Data

Quality input leads to quality output:

  • Accurate product names: Clear, descriptive names work best
  • Existing descriptions: Even brief notes help the AI
  • Product features: Fill in feature data when available
  • Categories: Proper categorization provides context

2. Configure Prompt Settings

Take time to set up your prompt settings:

  • Choose the right tone: Match your brand
  • Set appropriate length: Don't overdo it
  • Define keywords: Help with SEO
  • Block unwanted phrases: Maintain professionalism

3. Choose the Right Provider & Model

Match the AI to the task:

  • Budget tiers: Best for large bulk operations where cost matters
  • Balanced tiers: Everyday generation with great quality
  • Premium tiers: Reserve for hero products or complex content

4. Test Before Bulk Operations

Always test with a small sample:

  1. Generate for 5-10 items
  2. Review quality carefully
  3. Try different models to compare
  4. Adjust settings if needed
  5. Then run larger batches

5. Use Review Mode

For bulk operations:

  • Enable "Review First" mode
  • Check generated content before saving
  • Edit outliers manually
  • Use chat refinement for tweaks

SEO Best Practices

Meta Titles

  • Keep under 60 characters
  • Include primary keyword
  • Make it compelling
  • Avoid keyword stuffing

Meta Descriptions

  • Target 120-160 characters
  • Include call-to-action
  • Summarize the page content
  • Use active voice

Cost Optimization

Multi-Provider Strategy

  • Use budget models for initial catalog setup (thousands of items)
  • Switch to balanced models for regular updates
  • Use premium models only for featured/hero products
  • Mix providers: e.g., DeepSeek for meta tags, Claude for descriptions
  • Monitor token usage in the Dashboard