RRepoGEO

REPOGEO REPORT · LITE

hijkzzz/Awesome-LLM-Strawberry

Default branch main · commit 3f17fc9e · scanned 6/18/2026, 7:38:32 PM

GitHub: 6,896 stars · 370 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
28 /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
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 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
  • highabout#1
    Clarify 'About' description to explicitly state 'Awesome List' and 'advanced LLM reasoning'

    Why:

    CURRENT
    A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
    COPY-PASTE FIX
    An Awesome List of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and advanced reasoning techniques.
  • hightopics#2
    Add 'llm-reasoning' and 'awesome-list' to topics

    Why:

    CURRENT
    chain-of-thought, coding, llm, mathematics, mcts, openai-o1, reinforcement-learning, strawberry
    COPY-PASTE FIX
    chain-of-thought, coding, llm, mathematics, mcts, openai-o1, reinforcement-learning, strawberry, llm-reasoning, awesome-list
  • mediumreadme#3
    Refine README's opening sentence for stronger positioning

    Why:

    CURRENT
    This is a collection of research papers & blogs for **OpenAI Strawberry(o1) and Reasoning**.
    COPY-PASTE FIX
    This is an **Awesome List** of cutting-edge research papers & blogs focused on **OpenAI Strawberry (o1)** and **advanced LLM 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
Prompt Engineering Guide
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Prompt Engineering Guide · recommended 1×
  2. Awesome-LLM-Reasoning · recommended 1×
  3. GPT-4 · recommended 1×
  4. Claude 3 Opus · recommended 1×
  5. Gemini 1.5 Pro · recommended 1×
  • CATEGORY QUERY
    Where can I find resources on advanced reasoning techniques for large language models?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide
    2. Awesome-LLM-Reasoning

    AI recommended 2 alternatives but never named hijkzzz/Awesome-LLM-Strawberry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest developments in improving LLM logical thinking and problem-solving?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. LangChain
    5. LlamaIndex
    6. OpenAI's Function Calling
    7. Reflexion
    8. CRITIC (Cognitive Reflection and Iterative Correction)
    9. AlphaCode 2 (DeepMind)
    10. Code Interpreter (OpenAI, now part of Advanced Data Analysis)
    11. SWE-bench
    12. MATH (Google)
    13. GSM8K
    14. Mistral Large
    15. Mixtral 8x7B
    16. Logic-LM
    17. Program-aided Language Models (PAL)

    AI recommended 17 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 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?

  • 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?

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hijkzzz/Awesome-LLM-Strawberry — 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