Assess URL weighting and trajectory by analyzing how many queries your pages rank for. Distinguish between ranking slippage and content devaluation to make data-driven optimization decisions.
Track whether pages are gaining, maintaining, or losing query visibility
Distinguish between ranking drops and content quality decline
Analyze query counts across position groups for deeper insights
Query counting reveals how Google perceives your content's value by tracking the number of queries your pages rank for over time
When a page ranks for an increasing number of queries over time, it indicates Google perceives the content as gaining value and semantic relevance.
Clicks drop while query counts remain stable - rankings have slipped but content hasn't lost value. Often recoverable through optimization.
Fewer queries served indicates Google has downgraded the page's semantic relevance. This represents true content devaluation requiring deeper fixes.
Breaking query counts into position brackets (1-3, 4-10, 11-20, 20+) reveals whether drops are slippage or devaluation.
Page weighting refers to the internal value Google assigns to a page based on the volume of queries it ranks for, the breadth of rankings across position groups, and the persistence of those rankings over time. It's a proxy for how much "semantic real estate" your page occupies in Google's index.
Advanced tools to analyze query performance and understand content trajectory across your entire site
Break down query counts by position brackets (1-3, 4-10, 11-20, 20+) to understand where ranking changes are occurring.
Track pages in growth, stagnation, saturation, or decline phases based on query volume trends over time.
Compare query counts across different time periods to identify performance patterns and trend changes.
See if queries migrated between position groups or disappeared entirely to diagnose ranking issues.
Apply query counting analysis to your custom filter groups to understand URL group performance.
Prioritize pages with declining query counts and Top 10 presence for content optimization efforts.
Real examples showing how query counting reveals content trajectory and helps diagnose performance changes
Visualize query counts across position groups with clicks, impressions, and total queries over time.
This example shows content that has been "devalued" - both query counts and rankings declined, indicating Google has reduced the page's perceived value.
This shows content that gained query volume, reached peak performance, and has begun to decay - revealing the full content lifecycle.
See how changes in position 1-3 query counts directly correlate with actual click performance from Search Console data.
Prioritize pages with declining query counts and Top 10 presence for optimization.
Understand which pages lost visibility through devaluation vs ranking churn.
Understand when clicks drop due to ranking loss vs query loss.
Start using query counting to assess page weighting, distinguish between slippage and devaluation, and make data-driven optimization decisions.
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