RRepoGEO

REPOGEO REPORT · LITE

Vincentqyw/cv-arxiv-daily

Default branch main · commit caa189d4 · scanned 7/1/2026, 5:28:01 PM

GitHub: 1,483 stars · 563 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
12 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
0 pass · 1 warn · 1 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 Vincentqyw/cv-arxiv-daily, 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
    Create a comprehensive README.md with clear project positioning

    Why:

    COPY-PASTE FIX
    # Vincentqyw/cv-arxiv-daily: Automated Daily Computer Vision Paper Tracking via GitHub Actions
    
    This repository provides an automated solution using GitHub Actions to daily track and update the latest Computer Vision (CV) research papers from arXiv. It's designed for CV researchers and practitioners who want to efficiently stay up-to-date with new publications without manual effort.
    
    ## Features
    - Daily automated fetching of new CV papers from arXiv.
    - Integration with GitHub Actions for seamless, scheduled updates.
    - Customizable keyword filtering for relevant paper discovery.
    
    ## Getting Started
    (Instructions on how to set up and use the GitHub Action)
    
    ## Contributing
    (Guidelines for contributions)
    
    ## License
    This project is licensed under the Apache-2.0 License.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Vincentqyw/cv-arxiv-daily
  • mediumreadme#3
    Prominently feature the Chinese abstract translation in the README

    Why:

    COPY-PASTE FIX
    Add the following line under the 'Features' section of the README: '- Includes Chinese translation of abstracts for enhanced accessibility.'

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 Vincentqyw/cv-arxiv-daily
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Feedly
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Feedly · recommended 2×
  2. Connected Papers · recommended 2×
  3. Semantic Scholar · recommended 2×
  4. Paper Digest · recommended 2×
  5. Inoreader · recommended 1×
  • CATEGORY QUERY
    How can I automatically track new computer vision research papers daily from Arxiv?
    you: not recommended
    AI recommended (in order):
    1. Feedly
    2. Inoreader
    3. NetNewsWire (Ranchero-Software/NetNewsWire)
    4. Thunderbird
    5. Connected Papers
    6. Semantic Scholar
    7. Arxiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
    8. Twitter
    9. Paper Digest
    10. Deep Learning Daily
    11. ML Daily

    AI recommended 11 alternatives but never named Vincentqyw/cv-arxiv-daily. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate daily discovery of deep learning and robotics papers?
    you: not recommended
    AI recommended (in order):
    1. Connected Papers
    2. Semantic Scholar
    3. ArXiv Sanity Preserver
    4. Google Scholar Alerts
    5. ResearchGate
    6. Feedly
    7. Paper Digest

    AI recommended 7 alternatives but never named Vincentqyw/cv-arxiv-daily. 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
    fail

    Suggestion:

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 Vincentqyw/cv-arxiv-daily?
    pass
    AI did not name Vincentqyw/cv-arxiv-daily — 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 Vincentqyw/cv-arxiv-daily in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Vincentqyw/cv-arxiv-daily 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 Vincentqyw/cv-arxiv-daily solve, and who is the primary audience?
    pass
    AI did not name Vincentqyw/cv-arxiv-daily — 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?

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Vincentqyw/cv-arxiv-daily — 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