RRepoGEO

REPOGEO REPORT · LITE

yibie/awesome-autoresearch

Default branch main · commit 33b25942 · scanned 6/10/2026, 6:13:11 AM

GitHub: 516 stars · 36 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
23 /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
2 / 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 yibie/awesome-autoresearch, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    autoresearch, awesome-list, ai-agents, autonomous-agents, use-cases, applications, research-automation, industry-applications
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root.
  • mediumreadme#3
    Clarify the README's initial positioning statement

    Why:

    CURRENT
    A curated awesome list of public autoresearch use cases across industries.
    COPY-PASTE FIX
    This repository, yibie/awesome-autoresearch, is a curated awesome list of public autoresearch use cases across industries, specifically designed as a high-signal field guide to practical applications and implementation patterns.

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 yibie/awesome-autoresearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 1×
  2. Papers With Code · recommended 1×
  3. GitHub · recommended 1×
  4. Towards Data Science · recommended 1×
  5. Google AI Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find practical examples of automated research applications across different sectors?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Papers With Code
    3. GitHub
    4. Towards Data Science
    5. Google AI Blog
    6. Microsoft AI Blog
    7. IBM Research Blog
    8. arXiv.org
    9. KDD
    10. NeurIPS
    11. ICML

    AI recommended 11 alternatives but never named yibie/awesome-autoresearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are common autoresearch implementation patterns and successful use cases in various industries?
    you: not recommended
    AI recommended (in order):
    1. Brandwatch
    2. Crayon
    3. Meltwater
    4. Beautiful.ai
    5. Scopus
    6. Web of Science
    7. Google Patents
    8. Semantic Scholar
    9. OpenAI GPT-4
    10. Anthropic Claude
    11. Qualtrics
    12. Medallia
    13. MonkeyLearn
    14. Google Cloud Natural Language API
    15. Amazon Comprehend
    16. Bloomberg Terminal
    17. Refinitiv Eikon
    18. AlphaSense
    19. Python
    20. BeautifulSoup
    21. Pandas
    22. Scrapy
    23. Thomson Reuters Regulatory Intelligence
    24. LexisNexis
    25. Compliance.ai
    26. Microsoft Azure Cognitive Services
    27. Google Trends API
    28. BuzzSumo
    29. Dun & Bradstreet

    AI recommended 29 alternatives but never named yibie/awesome-autoresearch. 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 yibie/awesome-autoresearch?
    pass
    AI named yibie/awesome-autoresearch explicitly

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

  • If a team adopts yibie/awesome-autoresearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yibie/awesome-autoresearch 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 yibie/awesome-autoresearch solve, and who is the primary audience?
    pass
    AI did not name yibie/awesome-autoresearch — 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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yibie/awesome-autoresearch — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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