RRepoGEO

REPOGEO REPORT · LITE

Mwie1024/Extra-CoT

Default branch main · commit 1c831868 · scanned 6/3/2026, 12:32:34 AM

GitHub: 709 stars · 53 forks

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 Mwie1024/Extra-CoT, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clarifying sentence to the README's opening

    Why:

    CURRENT
    The current README starts with '# Extra-CoT: Extreme-Ratio Chain-of-Thought Compression' followed by a research paper title.
    COPY-PASTE FIX
    # Extra-CoT: Extreme-Ratio Chain-of-Thought Compression

Extra-CoT tackles the high computational cost of Chain-of-Thought (CoT) reasoning in LLMs by providing a novel framework for extreme-ratio CoT compression, achieving significant wall-clock speedups while maintaining accuracy.

**Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression**
  • highabout#2
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    A three-stage framework for extreme-ratio Chain-of-Thought (CoT) compression in LLMs, designed to achieve significant wall-clock speedups and efficiency while preserving reasoning fidelity.

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 Mwie1024/Extra-CoT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVINO
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVINO · recommended 2×
  2. ONNX Runtime · recommended 2×
  3. Outlines · recommended 2×
  4. vLLM · recommended 1×
  5. DeepSpeed-MII · recommended 1×
  • CATEGORY QUERY
    How to achieve significant wall-clock speedups for large language model reasoning tasks?
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. DeepSpeed-MII
    3. TensorRT-LLM
    4. OpenVINO
    5. ONNX Runtime
    6. Llama.cpp
    7. GGML
    8. GGUF
    9. Guidance
    10. Outlines

    AI recommended 10 alternatives but never named Mwie1024/Extra-CoT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for compressing LLM chain-of-thought while maintaining reasoning accuracy?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. OpenVINO
    3. ONNX Runtime
    4. LangChain
    5. LlamaIndex
    6. Guidance (Microsoft)
    7. SpaCy
    8. NLTK
    9. JSONFormer
    10. Outlines

    AI recommended 10 alternatives but never named Mwie1024/Extra-CoT. 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 Mwie1024/Extra-CoT?
    pass
    AI named Mwie1024/Extra-CoT explicitly

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

  • If a team adopts Mwie1024/Extra-CoT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Mwie1024/Extra-CoT 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 Mwie1024/Extra-CoT solve, and who is the primary audience?
    pass
    AI did not name Mwie1024/Extra-CoT — 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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Mwie1024/Extra-CoT — 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