Creating content at scale for SEO often leads to poor outcomes when search engines identify the strategy. However, AI can enhance content quality effectively. The goal is to automate the identification of "intent gaps" in content by:
- Crawling content URLs.
- Analyzing text with ChatGPT.
- Comparing with Google’s People Also Ask (PAA) data to find gaps.
Tools Required:
- Screaming Frog SEO Spider: Version 20+ supports custom JavaScript for data extraction.
- OpenAI API: For programmatic interaction with ChatGPT.
- AlsoAsked API: For querying PAA data.
Advantages of Using PAA Data:
- Intent Clustering: Google uses PAA to refine queries and understand user intent.
- Time To Result (TTR): Faster completion of user tasks improves content ranking.
- Recency: PAA data updates quickly, providing current search intent insights.
Step-by-Step Approach:
- Update Screaming Frog: Ensure version >v20.1 for CustomJS support.
- Crawl Site URLs: Use Screaming Frog to gather URLs.
- Select Content URLs: Focus on informational pages to maximize value.
- Import CustomJS: Load pre-packaged JavaScript from Screaming Frog’s library.
- Configure API Keys:
- OpenAI API Key: Obtain from OpenAI platform.
- AlsoAsked API Key: Requires a Pro account.
- Review Settings:
- PAA Language and Region: Configure within the JavaScript.
- Customize ChatGPT Prompt: Adjust for better output.
- Check H1 Inputs: Ensure pages have readable H1 tags.
- Run List Crawl for Selected URLs: Use Screaming Frog’s List mode with JavaScript rendering.
- View Results: Results appear in the Custom JavaScript tab and can be exported to a spreadsheet.
Integration with SOPs: This method can complement other data-gathering techniques and can be integrated into content production workflows to identify new gaps.