RRepoGEO

REPOGEO REPORT · LITE

ks233/ja-learner

Default branch main · commit c96d693e · scanned 5/31/2026, 1:36:25 AM

GitHub: 824 stars · 37 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 ks233/ja-learner, 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 README H1 and opening to clarify it's a desktop app for visual novels

    Why:

    CURRENT
    <h1 align="center">KS的日语学习工具 v0.4</h1>
<div align="center">
    <strong>📖 简易日语学习 / 视觉小说阅读辅助工具</strong>
    COPY-PASTE FIX
    <h1 align="center">KS的日语学习工具 v0.4 - 实时视觉小说/游戏日语学习桌面应用</h1>
<div align="center">
    <strong>📖 简易日语学习 / 视觉小说阅读辅助工具，支持实时游戏文本分析</strong>
  • mediumabout#2
    Add "desktop application" to the repository description

    Why:

    CURRENT
    📖简易日语学习 / 视觉小说阅读辅助工具
    COPY-PASTE FIX
    📖 桌面日语学习工具 / 视觉小说阅读辅助应用
  • lowhomepage#3
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/ks233/ja-learner

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 ks233/ja-learner
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MeCab
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MeCab · recommended 1×
  2. Juman++ · recommended 1×
  3. Sudachi · recommended 1×
  4. Kuromoji · recommended 1×
  5. Igo · recommended 1×
  • CATEGORY QUERY
    What tools help with real-time Japanese text analysis for visual novels and games?
    you: not recommended
    AI recommended (in order):
    1. MeCab
    2. Juman++
    3. Sudachi
    4. Kuromoji
    5. Igo
    6. SentencePiece
    7. EDICT/JMdict
    8. Jisho.org's API

    AI recommended 8 alternatives but never named ks233/ja-learner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop application to assist with Japanese sentence parsing and vocabulary lookup.
    you: not recommended
    AI recommended (in order):
    1. Rikaikun
    2. Rikaichan
    3. Rikaikage
    4. Yomichan
    5. Shirabe Jisho
    6. Takoboto
    7. Jisho.org
    8. EPWING
    9. EB Pocket
    10. EBWin
    11. EBMac

    AI recommended 11 alternatives but never named ks233/ja-learner. 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 ks233/ja-learner?
    pass
    AI named ks233/ja-learner explicitly

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

  • If a team adopts ks233/ja-learner in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ks233/ja-learner 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 ks233/ja-learner solve, and who is the primary audience?
    pass
    AI named ks233/ja-learner explicitly

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

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ks233/ja-learner — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite