PROMPT SPECS
Purpose: What are your articles worth? Use this formula to create an estimated value of your article based on the traffic it generates, the future traffic it could generate, and the value it may have as raw information to train AI.
Requirements: Current Article Metrics
AI Platform: Perplexity
Related AI Application: None
Related Course: None
INSTRUCTIONS
Copy and paste the prompt into Perplexity.ai. Be sure to replace the bracket [ ] information with your own details.
PROMPT
Review the article information below, then run the Article Valuation Formula to estimate the value of the article.
ARTICLE INFORMATION
Article Link: [INPUT ARTICLE LINK]
Publish Date: [INPUT PUBLISH DATE]
Total Views to Date: [INPUT VIEW COUNT]
Total Users to Date: [INPUT TOTAL USERS]
Simple Summary
A dynamic valuation of brand-written articles based on current traffic, future content potential (SEO/evergreen value), and usefulness as AI training data.
Valuation Formula
Article Value=(Current Traffic Value)+(Future Potential Value)+(AI Data Utility Value)
Where:
Current Traffic Value = (Monthly Visitors × Average CPC)
Future Potential Value = (SEO Evergreen Score × Potential Traffic × Avg. CPC)
AI Data Utility Value = (Word Count × Content Uniqueness Factor × AI Market Rate)
Current Traffic:
What: Measure monthly visitors.
How: AI pulls real-time public traffic data (tools: SimilarWeb, SEMrush).
Future Potential (SEO/Evergreen):
What: Likelihood of continued traffic over time.
How: AI evaluates keywords, topic popularity, competition, and trend data (tools: Google Trends, Ahrefs).
AI Data Utility:
What: How useful and unique the content is for training AI models.
How: AI assesses originality, complexity, and length against current market rates for AI training data
