Semantic Drift Analyzer
Visualize and measure how far your query fan-outs drift from the original search intent
How to Use
Enter Target Query
Paste your primary search query in the first field
Add Fan-Outs
List query fan-outs (one per line) that you want to analyze
Analyze Drift
Click the analyze button to calculate semantic distances
Review Results
Examine the 3D visualization and drift scores, then export if needed
Bulk Processing via CSV Upload
Process multiple query pairs at once by uploading a CSV file. Your CSV must contain exactly two columns with headers: Target Query and Query Fan-Outs. Each row represents a target query and its corresponding fan-out variation.
CSV Format Requirements:
“best running shoes”,”running shoes for beginners”
“best running shoes”,”marathon training shoes”
“best running shoes”,”athletic footwear reviews”
- First row must be headers:
Target Query,Query Fan-Outs - Each subsequent row contains one target query and one fan-out query
- Wrap queries in quotes if they contain commas
- Results will automatically download as a CSV file
Semantic Boost (USE)
Runs locally with Universal Sentence Encoder to capture synonyms & context. No API keys.
3D Vector Space Visualization
The central white node represents your target query. Colored nodes show query fan-outs, positioned by semantic distance. Hover over nodes to see details.
How Scores are Calculated
Key Benefits for SEO & Content Strategy
Maintain Search Intent
Ensure your query expansions stay aligned with the original user intent, preventing keyword cannibalization and irrelevant traffic.
Quantify Semantic Distance
Get objective metrics on how far your query fan-outs drift from the target, enabling data-driven content decisions.
Optimize Query Clustering
Identify which queries should be grouped together vs. targeted separately based on semantic similarity scores.
Improve Content Relevance
Create content that accurately matches user expectations by understanding the semantic relationships between queries.
Better Keyword Strategy
Build more cohesive keyword clusters and topic hierarchies by visualizing semantic relationships in 3D space.
Discover Opportunities
Find new angles and content opportunities by exploring queries with moderate drift that still maintain core intent.