RRepoGEO

REPOGEO REPORT · LITE

zzli2022/Awesome-System2-Reasoning-LLM

Default branch main · commit f81bd00d · scanned 5/24/2026, 3:03:02 PM

GitHub: 1,352 stars · 79 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 zzli2022/Awesome-System2-Reasoning-LLM, 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 introduction to clarify it's a curated research list

    Why:

    CURRENT
    Welcome to the repository for our survey paper, "From System 1 to System 2: A Survey of Reasoning Large Language Models". This repository provides resources and updates related to our research.
    COPY-PASTE FIX
    Welcome to the **official curated list and companion repository** for our survey paper, "From System 1 to System 2: A Survey of Reasoning Large Language Models". This repository provides an **up-to-date collection of resources, papers, and updates** related to our research on System 2 Reasoning in LLMs.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of the MIT License.
  • lowhomepage#3
    Add the arXiv link as the repository homepage

    Why:

    COPY-PASTE FIX
    http://arxiv.org/abs/2502.17419

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 zzli2022/Awesome-System2-Reasoning-LLM
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Significant-Gravitas/Auto-GPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Significant-Gravitas/Auto-GPT · recommended 1×
  2. Google Search API · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. Llama 2 · recommended 1×
  • CATEGORY QUERY
    How can I improve LLM performance on complex tasks requiring deliberate, human-like reasoning?
    you: not recommended
    AI recommended (in order):
    1. Auto-GPT (Significant-Gravitas/Auto-GPT)
    2. Google Search API
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. Llama 2
    6. Mistral
    7. Gemma
    8. CrewAI (joaomdmoura/crewAI)
    9. AutoGen (microsoft/autogen)
    10. Code Interpreter (Advanced Data Analysis)
    11. OpenAI Function Calling
    12. Google Gemini Function Calling

    AI recommended 12 alternatives but never named zzli2022/Awesome-System2-Reasoning-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Exploring recent advancements in large language models for achieving slow, deliberative reasoning.
    you: not recommended
    AI recommended (in order):
    1. Chain-of-Thought (CoT) prompting
    2. Self-Consistency
    3. Tree of Thoughts (ToT)
    4. Reflexion
    5. Retrieval-Augmented Generation (RAG)
    6. Program-Aided Language Models (PAL)
    7. Constitutional AI

    AI recommended 7 alternatives but never named zzli2022/Awesome-System2-Reasoning-LLM. 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 zzli2022/Awesome-System2-Reasoning-LLM?
    pass
    AI did not name zzli2022/Awesome-System2-Reasoning-LLM — 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 zzli2022/Awesome-System2-Reasoning-LLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zzli2022/Awesome-System2-Reasoning-LLM 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 zzli2022/Awesome-System2-Reasoning-LLM solve, and who is the primary audience?
    pass
    AI did not name zzli2022/Awesome-System2-Reasoning-LLM — 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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zzli2022/Awesome-System2-Reasoning-LLM — 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