RRepoGEO

REPOGEO REPORT · LITE

SerialLain3170/AwesomeAnimeResearch

Default branch master · commit 5f5b94c4 · scanned 5/20/2026, 5:07:37 AM

GitHub: 1,236 stars · 72 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 SerialLain3170/AwesomeAnimeResearch, 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 the README H1 to specify its category as a curated academic resource list

    Why:

    CURRENT
    # AwesomeAnimeResearch Everything related to Anime.
    COPY-PASTE FIX
    # AwesomeAnimeResearch: A Curated List of Academic Papers, Datasets, and Resources for Anime and Manga Research
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory of the repository, applying a suitable open-source license like CC-BY-4.0 to the curated list content.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL in the GitHub About section to `https://github.com/SerialLain3170/AwesomeAnimeResearch`.

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 SerialLain3170/AwesomeAnimeResearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar · recommended 1×
  3. Kaggle · recommended 1×
  4. Papers With Code · recommended 1×
  5. Danbooru · recommended 1×
  • CATEGORY QUERY
    Where can I find academic papers and datasets for anime and manga deep learning research?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. Kaggle
    4. Papers With Code
    5. Danbooru
    6. Safebooru
    7. Gelbooru
    8. GitHub
    9. CVPR
    10. ICCV
    11. ECCV
    12. NeurIPS
    13. AAAI

    AI recommended 13 alternatives but never named SerialLain3170/AwesomeAnimeResearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading machine learning resources for analyzing and understanding manga content?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. Keras
    3. PyTorch
    4. Hugging Face Transformers
    5. OpenCV
    6. Tesseract OCR
    7. Detectron2
    8. YOLO

    AI recommended 8 alternatives but never named SerialLain3170/AwesomeAnimeResearch. 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 SerialLain3170/AwesomeAnimeResearch?
    pass
    AI did not name SerialLain3170/AwesomeAnimeResearch — 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 SerialLain3170/AwesomeAnimeResearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SerialLain3170/AwesomeAnimeResearch 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 SerialLain3170/AwesomeAnimeResearch solve, and who is the primary audience?
    pass
    AI did not name SerialLain3170/AwesomeAnimeResearch — 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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SerialLain3170/AwesomeAnimeResearch — 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