Optimize SEO & CTR with Your GSC Data
Step 1: Upload GSC Data
Upload your data exported from Google Search Console:
We need an Excel file containing page URLs, Clicks, Impressions, and Average Position.
Drag & drop your file here or click to browse
(Excel files only)
Step 2: Process & Review Data
We'll calculate Normalized CTR (Actual CTR vs. Expected CTR for its rank) to identify high and low performing pages based on your data.
Review the data preview below (first 50 rows). Required columns: URL, Clicks, Impressions, Position.
Step 3: Crawl URLs
We need to fetch the current Title, Meta Description, and H1 heading for the selected high and low performing pages. This is required for analysis and suggestions.
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Crawl Configuration
Step 4: Analyze Patterns
Let's use AI to analyze the SEO elements (Title, Meta, H1) of your successfully crawled high-performing pages. The AI identifies common keywords, structures, lengths, and calls-to-action to understand what works well for your site. (View Analysis Prompt)
High Performers (Successfully Crawled)
AI is analyzing your data...
Step 5: Optimization Suggestions
Using the insights from the high-performer analysis (Step 4), AI will generate suggestions to improve the Title, Meta Description, and H1 for your low-performing pages, applying the identified success patterns. (View Suggestion Prompt)
Low Performers (Successfully Crawled)
Suggestions Summary
Review the generated suggestions below. You can edit them directly in the 'Suggested' columns before exporting.
Bonus: Single Page Check
Analyze a specific URL using the patterns learned from your high performers.