The tool provides historical data dating back to 2015, allowing users to see major historical events, such as October 17th, 2017, which remains one of the days with the highest recorded fluctuations. Key Features and Insights
The tool calculates the average number of rank changes across the top 100 search results for roughly 30,000 keywords. Based on this data, it assigns a "mood" to Google: google grump
Extreme volatility; usually indicates a major core algorithm update. Why SEOs Track "Mood Swings" The tool provides historical data dating back to
Would you like a script to create your own Google Grump-style search page? such as October 17th
Historical charts help identify patterns in how Google tests and rolls out new ranking signals. Survival Guide for a "Furious" Algorithm