RRepoGEO

REPOGEO REPORT · LITE

TingFree/NLPer-Arsenal

Default branch master · commit f8567c48 · scanned 5/20/2026, 6:34:30 AM

GitHub: 2,243 stars · 248 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 TingFree/NLPer-Arsenal, 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
    Emphasize executable code and practical implementations in README opening

    Why:

    CURRENT
    # NLPer-Arsenal

NLP人军火库，主要收录NLP竞赛策略实现、各任务教程、经验贴、学习资料以及会议时间等，如果对你有帮助，请给我们一个star。

本项目主要包含以下内容：
    COPY-PASTE FIX
    # NLPer-Arsenal

NLP人军火库，一个集大成的NLP资源库，不仅**收录了NLP竞赛策略实现、各任务教程、经验贴、学习资料以及会议时间等精选内容，更提供了可直接运行的基线代码和解耦实现**，方便NLPer快速学习、实践与迁移。如果对你有帮助，请给我们一个star。

本项目主要包含以下内容：
  • mediumreadme#2
    Explicitly state the target audience and core value in the README's introduction

    Why:

    COPY-PASTE FIX
    本军火库旨在成为**NLP从业者、研究员和学生**在**竞赛实战、技术学习与前沿追踪**方面不可或缺的**一站式工具与知识库**。
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/TingFree/NLPer-Arsenal

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 TingFree/NLPer-Arsenal
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. ACL Anthology · recommended 2×
  3. Kaggle · recommended 1×
  4. Hugging Face Transformers & Datasets Libraries · recommended 1×
  5. NLP Progress · recommended 1×
  • CATEGORY QUERY
    Where can I find effective NLP competition strategies and task baselines for various challenges?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Kaggle
    3. Hugging Face Transformers & Datasets Libraries
    4. NLP Progress
    5. GitHub
    6. ACL Anthology
    7. ArXiv

    AI recommended 7 alternatives but never named TingFree/NLPer-Arsenal. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources are available to track NLP conference deadlines and find GPU recommendations for research?
    you: not recommended
    AI recommended (in order):
    1. AI Conference Deadlines (AKBC)
    2. PaperCall.io
    3. Google Scholar
    4. Twitter
    5. ACL Anthology
    6. Lambda Labs
    7. Puget Systems
    8. NVIDIA
    9. Reddit
    10. Papers With Code
    11. AWS EC2
    12. Google Cloud AI Platform
    13. Azure Machine Learning

    AI recommended 13 alternatives but never named TingFree/NLPer-Arsenal. 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 TingFree/NLPer-Arsenal?
    pass
    AI did not name TingFree/NLPer-Arsenal — likely talking about a different project

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

  • If a team adopts TingFree/NLPer-Arsenal in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name TingFree/NLPer-Arsenal — likely talking about a different project

    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 TingFree/NLPer-Arsenal solve, and who is the primary audience?
    pass
    AI named TingFree/NLPer-Arsenal explicitly

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

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TingFree/NLPer-Arsenal — 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