RRepoGEO

REPOGEO REPORT · LITE

hijkzzz/Awesome-LLM-Strawberry

Default branch main · commit 3f17fc9e · scanned 5/9/2026, 12:48:10 AM

GitHub: 6,907 stars · 368 forks

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 hijkzzz/Awesome-LLM-Strawberry, 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
    Clarify the README's opening sentence to emphasize its 'awesome list' nature for specific topics

    Why:

    CURRENT
    This is a collection of research papers & blogs for **OpenAI Strawberry(o1) and Reasoning**.
    COPY-PASTE FIX
    This is an **awesome curated collection** of research papers, blogs, and projects specifically focused on **OpenAI Strawberry (o1) and advanced reasoning techniques** in LLMs.
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/hijkzzz/Awesome-LLM-Strawberry
  • lowabout#3
    Refine the repository description to clarify the 'OpenAI o1' focus

    Why:

    CURRENT
    A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
    COPY-PASTE FIX
    A curated collection of LLM papers, blogs, and projects, with a specific focus on OpenAI's o1 model (Strawberry) and advanced reasoning techniques.

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 hijkzzz/Awesome-LLM-Strawberry
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. Hugging Face Blog · recommended 1×
  4. LessWrong · recommended 1×
  5. Alignment Forum · recommended 1×
  • CATEGORY QUERY
    Where can I find research papers and blogs on advanced large language model reasoning methods?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. Hugging Face Blog
    4. LessWrong
    5. Alignment Forum
    6. Distill.pub
    7. Twitter
    8. X
    9. LinkedIn
    10. paperswithcode
    11. Medium
    12. Substack
    13. The Batch
    14. Last Week in AI
    15. Chinmay's AI Newsletter
    16. The Neuron

    AI recommended 16 alternatives but never named hijkzzz/Awesome-LLM-Strawberry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest techniques for improving LLM performance in complex mathematical reasoning?
    you: not recommended
    AI recommended (in order):
    1. CoT-SC
    2. Auto-CoT
    3. Tree-of-Thought
    4. PAL
    5. PoT
    6. Wolfram Alpha
    7. SymPy
    8. RAG
    9. GSM8K
    10. MATH
    11. AQuA

    AI recommended 11 alternatives but never named hijkzzz/Awesome-LLM-Strawberry. 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 hijkzzz/Awesome-LLM-Strawberry?
    pass
    AI did not name hijkzzz/Awesome-LLM-Strawberry — 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 hijkzzz/Awesome-LLM-Strawberry in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hijkzzz/Awesome-LLM-Strawberry 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 hijkzzz/Awesome-LLM-Strawberry solve, and who is the primary audience?
    pass
    AI did not name hijkzzz/Awesome-LLM-Strawberry — 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?

Embed your GEO score

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