RRepoGEO

REPOGEO REPORT · LITE

GAIR-NLP/O1-Journey

Default branch main · commit 30b9795f · scanned 5/18/2026, 1:48:19 PM

GitHub: 2,000 stars · 61 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
30 /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
3 / 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 GAIR-NLP/O1-Journey, 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 project's purpose immediately in README

    Why:

    CURRENT
    The README excerpt shows "About the Team" immediately after the H1.
    COPY-PASTE FIX
    Add the following text directly after the `# O1 Replication Journey` heading: `This repository documents the GAIR research group's comprehensive journey in replicating and advancing O1-style large language model behaviors, including novel work in medical reasoning, distillation, and mathematical problem-solving through 'journey learning'. It contains reports, models, and datasets from our research.`
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    large-language-models, llm-agents, medical-ai, llm-distillation, mathematical-reasoning, llm-replication, deep-thinking, research-project, journey-learning
  • mediumlicense#3
    Add a LICENSE file or clarify licensing in README

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0), or add a clear statement about the project's licensing terms directly to the README.

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 GAIR-NLP/O1-Journey
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Med-PaLM 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Med-PaLM 2 · recommended 1×
  2. GPT-4 · recommended 1×
  3. ClinicalBERT · recommended 1×
  4. BioBERT · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How to improve large language model inference for medical diagnosis with deep thinking?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. GPT-4
    3. ClinicalBERT
    4. BioBERT
    5. LangChain
    6. LlamaIndex
    7. Med-Alpaca
    8. BioGPT
    9. Google Cloud Healthcare API
    10. Azure Health Bot
    11. PyTorch
    12. TensorFlow
    13. Llama 2
    14. Mistral

    AI recommended 14 alternatives but never named GAIR-NLP/O1-Journey. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources for replicating advanced large language model behaviors or distillation techniques.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. DeepSpeed
    3. PyTorch Lightning
    4. Triton
    5. DistilBERT
    6. Awesome-Knowledge-Distillation

    AI recommended 6 alternatives but never named GAIR-NLP/O1-Journey. 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 GAIR-NLP/O1-Journey?
    pass
    AI named GAIR-NLP/O1-Journey explicitly

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

  • If a team adopts GAIR-NLP/O1-Journey in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GAIR-NLP/O1-Journey 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 GAIR-NLP/O1-Journey solve, and who is the primary audience?
    pass
    AI named GAIR-NLP/O1-Journey explicitly

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

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GAIR-NLP/O1-Journey — 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