RRepoGEO

REPOGEO REPORT · LITE

neavo/KeywordGacha

Default branch main · commit 140a402d · scanned 5/31/2026, 9:27:17 PM

GitHub: 876 stars · 35 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 neavo/KeywordGacha, 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
    Clarify README's opening description to emphasize translation glossary

    Why:

    CURRENT
    <p align='center'>使用 AI 能力一键分析 小说、游戏、字幕 等文本内容并生成术语表的次世代翻译辅助工具</p>
    COPY-PASTE FIX
    <p align='center'>KeywordGacha 是一个使用 AI 能力一键分析 小说、游戏、字幕 等文本内容并生成高质量术语表的次世代翻译辅助工具,专为翻译工作者和本地化专业人士设计。</p>
  • hightopics#2
    Add relevant topics for categorization

    Why:

    COPY-PASTE FIX
    ai, translation, glossary, terminology, localization, nlp, cat-tool, subtitle-translation, game-translation, novel-translation
  • highlicense#3
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of a standard open-source license such as `MIT` or `Apache-2.0`.

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 neavo/KeywordGacha
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SDL Trados Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SDL Trados Studio · recommended 2×
  2. memoQ · recommended 2×
  3. Sketch Engine · recommended 1×
  4. AntConc · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    What AI-powered tools help automatically generate glossaries from novels, games, or subtitles for translation?
    you: not recommended
    AI recommended (in order):
    1. SDL Trados Studio
    2. memoQ
    3. Sketch Engine
    4. AntConc
    5. spaCy
    6. NLTK
    7. Textacy
    8. DeepL Write
    9. ChatGPT
    10. Google Gemini

    AI recommended 10 alternatives but never named neavo/KeywordGacha. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to efficiently create consistent terminology and character lists for large translation projects?
    you: not recommended
    AI recommended (in order):
    1. memoQ
    2. SDL Trados Studio
    3. Acrolinx
    4. SDL MultiTerm Standalone
    5. Xbench
    6. Google Sheets
    7. Microsoft Excel
    8. Smartcat

    AI recommended 8 alternatives but never named neavo/KeywordGacha. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 neavo/KeywordGacha?
    pass
    AI named neavo/KeywordGacha explicitly

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

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

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

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neavo/KeywordGacha — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite