RRepoGEO

REPOGEO REPORT · LITE

FranxYao/chain-of-thought-hub

Default branch main · commit 461e2d55 · scanned 5/26/2026, 5:52:38 AM

GitHub: 2,774 stars · 144 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 FranxYao/chain-of-thought-hub, 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
    llm, large-language-models, chain-of-thought, cot, prompting, benchmarks, reasoning, evaluation, nlp, artificial-intelligence
  • highreadme#2
    Insert a concise purpose statement immediately after the H1

    Why:

    CURRENT
    "A fantasy graph illustrating a chain of stars in a dark night with blue sky, digital art, super resolution". Midjourney V5
    COPY-PASTE FIX
    This repository serves as a comprehensive hub for benchmarking large language models' complex reasoning abilities using chain-of-thought prompting, compiling diverse tasks and models.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    [URL of the associated paper or project blog]

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 FranxYao/chain-of-thought-hub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
HotpotQA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. HotpotQA · recommended 2×
  2. MMLU · recommended 1×
  3. GSM8K · recommended 1×
  4. MATH · recommended 1×
  5. ARC · recommended 1×
  • CATEGORY QUERY
    What are reliable benchmarks for evaluating large language models' complex reasoning and problem-solving skills?
    you: not recommended
    AI recommended (in order):
    1. MMLU
    2. GSM8K
    3. MATH
    4. ARC
    5. HotpotQA
    6. DROP
    7. Big-Bench Hard

    AI recommended 7 alternatives but never named FranxYao/chain-of-thought-hub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I systematically compare different LLMs on advanced logical deduction and multi-step tasks?
    you: not recommended
    AI recommended (in order):
    1. Big-Bench Hard (BBH)
    2. MMLU (Massive Multitask Language Understanding)
    3. GSM8K (Grade School Math 8K)
    4. ARC (AI2 Reasoning Challenge)
    5. DROP (Discrete Reasoning Over Paragraphs)
    6. HotpotQA
    7. HumanEval
    8. MBPP (Mostly Basic Python Problems)
    9. LangChain
    10. LlamaIndex
    11. Weights & Biases (W&B)
    12. MLflow

    AI recommended 12 alternatives but never named FranxYao/chain-of-thought-hub. 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 FranxYao/chain-of-thought-hub?
    pass
    AI did not name FranxYao/chain-of-thought-hub — 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 FranxYao/chain-of-thought-hub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FranxYao/chain-of-thought-hub 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 FranxYao/chain-of-thought-hub solve, and who is the primary audience?
    pass
    AI did not name FranxYao/chain-of-thought-hub — 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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FranxYao/chain-of-thought-hub — 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