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SERP Crossover Analyser

Use cases

Detecting keyword cannibalisation Finding topic clustering opportunities Analyzing SERP similarity for keyword grouping Competitive SERP analysis

Jaccard similarity calculates URL overlap: (common URLs / total unique URLs) × 100.

urlparse removes www prefixes for domain normalisation.

7 countries, 3 devices (desktop/mobile/tablet), 5-100 results per SERP, 2-20 keywords simultaneously.

Colour-coded heatmap: red ≥50%, yellow 25-50%, green 1-25%.

Streamlit App

Platform

Browser-based (no installation required)

Input

ValueSERP API key

Keywords (2-20, one per line)

Output

Crossover matrix CSV/Excel: Jaccard similarity %. Overlapping URLs CSV: multi-keyword rankings. Multi-sheet Excel with matrix, overlaps, raw SERP data.

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Features

  • Jaccard similarity for URL crossover %
  • urlparse www removal for domain normalisation
  • 7 countries, 3 device types
  • 5-100 results per SERP (default 10)
  • 2-20 keywords simultaneously
  • Colour-coded heatmap (red/yellow/green)

How to use

  1. 1 Enter your ValueSERP API key
  2. 2 Input 2-20 keywords
  3. 3 Select location (7 countries) and device
  4. 4 Set results per SERP (5-100)
  5. 5 Run analysis – one API call per keyword
  6. 6 Review crossover matrix heatmap

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