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cygnix-seo

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    • A
      license
      Not graded
      quality
      B
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      Enables semantic keyword clustering, search intent classification, cannibalization detection, and topical authority mapping for SEO workflows.
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      Enables natural language analysis of Google Search Console data through Claude, with pre-built tools for quick wins, cannibalization detection, content decay, and more.
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    • A
      license
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      quality
      D
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      Enables querying Google Search Console and Google Analytics 4 through natural language, with tools for SEO analysis like anomaly detection, cannibalization detection, and opportunity scoring.
      13 npm
      1
      MIT
    • A
      license
      B
      quality
      C
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      Provides technical SEO tools for AI agents, including structured data generation, meta tag creation, robots.txt validation, and SERP previews, all offline with no API key or account.
      18
      18 PyPI
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
      1
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      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides real-time search intelligence including keyword suggestions with intent clustering, emerging trend detection, SERP analysis, and clean content extraction, all without requiring API keys.
      MIT

    TDQS

    B3.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: clustering keywords, classifying intent, finding cannibalization, checking title/meta tags, and generating a content brief. cluster_keywords and classify_search_intent both take keyword lists but perform clearly different transformations, so boundaries are easy to draw.

    Naming Consistency4/5

    Nearly all tools use a consistent snake_case verb_noun pattern (cluster_keywords, classify_search_intent, find_keyword_cannibalization, check_title_meta). content_brief_outline breaks the verb-first pattern by using noun_noun, a minor deviation but still readable and predictable overall.

    Tool Count5/5

    Five tools is well-scoped for a focused keyword/content SEO toolkit, and each one earns its place in the workflow. No redundancy or filler tools.

    Completeness4/5

    The surface covers a coherent pipeline: keyword clustering, intent classification, cannibalization detection, content briefs, and on-page title/meta checks. Minor gaps exist (no rank/serp tracking or backlink/site-audit capabilities), but core keyword-and-content workflows are covered end to end.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues