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Search Intent & Cannibalization Mapper

Map URLs to keywords, detect duplicate targeting, and identify potential keyword cannibalization locally.

Technical SEO & Metadata Local processing Mapping data is processed locally.

Mapper

Accepted format: URL, keyword, intent. The header row is optional. Intent is optional but improves conflict detection.

Results

Paste URL and keyword mappings to analyze.

Metrics

    Issues

      Introduction

      Keyword cannibalization happens when multiple URLs compete for the same or very similar queries. This can confuse search systems and split ranking signals.

      This mapper helps you review URL and keyword assignments before publishing or during content audits.

      How it works

      Paste a mapping of URLs, keywords, and optional intents. The tool groups exact keywords, compares similar keywords using token overlap, and flags potential conflicts.

      • Exact duplicate keywords targeting multiple URLs are flagged.
      • Similar keywords are compared using token similarity.
      • Intent conflicts are detected when intents are provided.
      • All analysis happens locally.

      How to use

      1. Export or create a URL, keyword, and intent list.
      2. Paste the list into the tool.
      3. Set the similarity threshold.
      4. Analyze the mapping.
      5. Review exact and similar keyword issues.

      Practical example

      If both /service/local-seo/ and /service/local-seo-pricing/ target “local seo services” with different intents, the tool flags the overlap so you can decide whether the pages should be differentiated, merged, or canonicalized.

      Use cases

      • Content audits.
      • Keyword mapping before site migrations.
      • Identifying overlapping blog posts.
      • Planning category and landing page structure.
      • Reviewing commercial and informational intent separation.

      Best practices

      • Assign one primary keyword to one primary URL.
      • Use supporting content to reinforce the primary URL.
      • Separate informational and transactional intent where appropriate.
      • Consolidate near-duplicate content.
      • Use canonical tags carefully and intentionally.

      Common mistakes

      • Targeting the same commercial keyword with multiple service pages.
      • Publishing several blog posts around the same query without differentiation.
      • Mixing intents on competing URLs.
      • Ignoring similar keywords because they are not exact matches.
      • Making consolidation decisions without reviewing content quality.

      Limitations

      • Similarity detection is heuristic.
      • The tool does not read live rankings or search results.
      • Intent classification is based on the values you provide.
      • Large keyword sets may truncate similarity results.

      Browser compatibility

      The tool works in current versions of major browsers using standard JavaScript text processing.

      FAQ

      Is my keyword data uploaded?

      No. All mapping and analysis happen locally in your browser.

      Does this check rankings?

      No. It analyzes keyword mapping only. It does not query search engines or ranking data.

      Is intent required?

      No, but providing intent improves conflict detection and helps distinguish intentional overlap.

      What format should I use?

      Use CSV or tab-separated rows: URL, keyword, intent. A header row is optional.

      References

      Version and changelog

      • Version: 1.0.0
      • Last updated: August 8, 2026
      • Changelog: Initial production release.