RRepoGEO

REPOGEO REPORT · LITE

bojone/papers.cool

Default branch main · commit cff48a00 · scanned 6/9/2026, 5:47:37 PM

GitHub: 771 stars · 18 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 bojone/papers.cool, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a concise, keyword-rich introductory sentence to the README

    Why:

    CURRENT
    # Cool Papers

Immersive Paper Discovery（沉浸式刷论文！）

这里记录Cool Papers的更新日志，并且收集用户的反馈和建议。
    COPY-PASTE FIX
    # Cool Papers

Immersive Paper Discovery（沉浸式刷论文！）

Cool Papers is a web application designed for researchers and academics to efficiently discover, browse, and get AI summaries of the latest academic papers from arXiv and other preprint sources. It offers an immersive experience for daily paper updates and organization.

这里记录Cool Papers的更新日志，并且收集用户的反馈和建议。
  • mediumhomepage#2
    Add the project's live URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://papers.cool

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 bojone/papers.cool
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 1×
  2. Connected Papers · recommended 1×
  3. Semantic Scholar · recommended 1×
  4. Feedly · recommended 1×
  5. Inoreader · recommended 1×
  • CATEGORY QUERY
    How can I efficiently discover new academic papers and get quick AI summaries?
    you: not recommended
    AI recommended (in order):
    1. Elicit

    AI recommended 1 alternative but never named bojone/papers.cool. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help researchers browse and organize daily arXiv paper updates effectively?
    you: not recommended
    AI recommended (in order):
    1. Connected Papers
    2. Semantic Scholar
    3. Feedly
    4. Inoreader
    5. ArXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
    6. Paperpile
    7. Mendeley
    8. Zotero

    AI recommended 8 alternatives but never named bojone/papers.cool. 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 bojone/papers.cool?
    pass
    AI named bojone/papers.cool explicitly

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

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