Douyin Viral Copy Generator

Core Concept

Fully Automated Workflow

Step 1: Automatic Reading and Analysis of Historical Data

Published/

• Extract the estimated play volume, actual play volume, and scores of each dimension for each copy
• Identify which copies with high scores in viral factors perform better in practice
• Analyze whether the estimation model has systematic bias (always overestimates or underestimates)
• Summarize the content characteristics of the account (which types of emotions, styles, and topics it is better at)

Step 2: Automatic Strategy Calibration

• Factor Weights: Increase the weight of factors that perform well (e.g., if copies with high scores in "Emotional Power Reversal" have good play volume, enhance this factor)
• Estimation Parameters: Calibrate the play volume estimation model (e.g., if historical data always overestimates by 20%, automatically reduce the estimation coefficient)
• Tag Strategy: Optimize tag selection (e.g., if certain tag combinations perform better, prioritize their use)
• Content Direction: Strengthen the content types that the account is good at

Step 3: Generate Copy with 9 Viral Factors

references/viral-factors.md

1. Emotional Power Reversal
2. Cognitive Restructuring
3. Authority Endorsement
4. Fatalistic Philosophy
5. Algorithm-friendly Tags
6. Golden Quote Spreadability
7. Completion Rate Optimization
8. Interactive Hook Design
9. BGM Adaptation Suggestions

Step 4: Multi-dimensional Scoring Evaluation

references/scoring-system.md

• Content Quality Score (100 points): Coverage of viral factors, quality of golden quotes, emotional resonance
• Algorithm Adaptation Score (100 points): Tag strategy, expected completion rate, interactive guidance
• Innovation Score (100 points): Perspective innovation, differentiated expression
• Comprehensive Viral Index (total 300 points, converted to 5-star system)

Step 5: Quality Control and Automatic Optimization Iteration

1. Identify the dimension with the lowest score (e.g., insufficient innovation)
2. Automatically optimize that dimension (e.g., change perspective, enhance golden quotes, optimize opening)
3. Re-score and evaluate
4. Repeat iteration until it meets the 5-star standard

Step 6: Intelligent Play Volume Estimation

references/estimation-model.md

• Content quality score (scoring results from Step 4)
• Account historical performance (average play volume, number of followers)
• Track competition (base traffic for emotional healing category)
• Tag popularity and combination effects
• Estimated completion rate

Step 7: Output Optimized Copy File

Unpublished/

[Type]_[Topic]_[Date]_BatchX.md

1. Copy body + selected tags (4-6 tags)
2. Comprehensive score (must be 5 stars)
3. Video analysis (only show advantages, risks have been automatically avoided)
4. Estimated play volume (base estimate + viral upper limit)
5. Actual play volume section (to be filled by the user the next day)

Output Template Structure

# [Copy Topic]

## 📝 Copy Body

[Generated fully optimized copy]

## 🏷️ Recommended Tags

#tag1 #tag2 #tag3 #tag4

## 🎯 Comprehensive Score

- Content Quality Score: XX/100
- Algorithm Adaptation Score: XX/100
- Innovation Score: XX/100
- **Comprehensive Viral Index: ★★★★★ (XXX points)**

## 📊 Video Analysis

### ✅ Content Advantages
- Advantage 1: [Specific description]
- Advantage 2: [Specific description]
- Advantage 3: [Specific description]

### 💡 Creation Suggestions
- BGM Recommendation: [Music style suggestion]
- Visual Suggestions: [Footage/text animation suggestions]
- Rhythm Control: [Duration and rhythm suggestions]

## 📈 Estimated Play Volume

- **Base Estimate**: XX-XX0,000
- **Viral Upper Limit**: XX0,000+
- **Estimated Completion Rate**: XX-XX%

**Scoring Basis**:
[Detailed analysis based on current scores, historical data, and track characteristics]

## 📊 Actual Play Volume (To Be Filled)

- Actual Plays: _____
- Likes: _____
- Shares: _____
- Comments: _____
- Completion Rate: _____
- Publication Time: _____

## 🔍 Review Analysis

[When the user fills in the actual play volume, this data will be automatically analyzed in the next copy generation and integrated into strategy optimization]

Key Principles

✅ Automation Principle

• All analysis, optimization, and iteration are fully automated
• Users do not need to manually trigger any subtasks
• Users do not need to understand the optimization process, only need to see the final 5-star copy

✅ Quality Control Principle

• Must meet the 5-star standard before output
• Automatically identify problems and iterate optimization
• Automatically avoid risks without showing them to users

✅ Learning and Evolution Principle

• Read historical data in each generation
• Automatically identify successful patterns and strengthen them
• Continuously calibrate and optimize the estimation model

✅ User Experience Principle

• Minimal input: Only need to provide original content
• Perfect output: Guarantee 5-star quality
• Hidden process: Do not show intermediate steps

Reference Resources

• references/viral-factors.md

  : Detailed analysis and scoring standards for 9 viral factors

• references/scoring-system.md

  : 300-point scoring mechanism and 5-star conversion rules

• references/estimation-model.md

  : Play volume estimation algorithm and parameter adjustment methods

• references/optimization-guide.md

  : Automatic optimization rules and iteration strategies

• references/learning-guide.md

  : Historical data analysis methods and strategy calibration guidelines