RRepoGEO

REPOGEO REPORT · LITE

cardmagic/classifier

Default branch master · commit 7c5185b5 · scanned 6/13/2026, 6:57:00 AM

GitHub: 720 stars · 126 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface cardmagic/classifier, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening sentence to explicitly state "Ruby gem" and clarify project identity.

    Why:

    CURRENT
    Text classification in Ruby. Five algorithms, native performance, streaming support.
    COPY-PASTE FIX
    cardmagic/classifier is a Ruby gem for efficient text classification, offering five algorithms, native performance, and streaming support.
  • highreadme#2
    Add an explicit license statement to the README.

    Why:

    COPY-PASTE FIX
    Add a line like: "This project is licensed under the LGPL-2.1. See the `LICENSE` file for full details." (Place this near the top of the README, perhaps after the initial description).
  • mediumhomepage#3
    Add a homepage URL to the repository's "About" section.

    Why:

    COPY-PASTE FIX
    Set the homepage URL to `https://cardmagic.github.io/classifier` (or a dedicated documentation site if one exists).

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface cardmagic/classifier
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebookresearch/fastText
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. facebookresearch/fastText · recommended 1×
  2. scikit-learn/scikit-learn · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. stanfordnlp/CoreNLP · recommended 1×
  5. oasic/NBayes · recommended 1×
  • CATEGORY QUERY
    Need a Ruby library for efficient text categorization, supporting large datasets.
    you: not recommended
    AI recommended (in order):
    1. fastText (facebookresearch/fastText)
    2. scikit-learn (scikit-learn/scikit-learn)
    3. TensorFlow (tensorflow/tensorflow)
    4. Stanford CoreNLP (stanfordnlp/CoreNLP)
    5. NBayes (oasic/NBayes)
    6. Classifier-Reborn (jekyll/classifier-reborn)

    AI recommended 6 alternatives but never named cardmagic/classifier. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Ruby gems for text classification with multiple algorithms and streaming support?
    you: not recommended
    AI recommended (in order):
    1. tf-idf-similarity
    2. classifier-reborn
    3. fast_text
    4. rumale
    5. narray

    AI recommended 5 alternatives but never named cardmagic/classifier. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of cardmagic/classifier?
    pass
    AI named cardmagic/classifier explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts cardmagic/classifier in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cardmagic/classifier explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo cardmagic/classifier solve, and who is the primary audience?
    pass
    AI named cardmagic/classifier explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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