RRepoGEO

REPOGEO REPORT · LITE

srush/awesome-o1

Default branch main · commit 7e86916d · scanned 5/18/2026, 9:17:57 AM

GitHub: 1,214 stars · 51 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
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 srush/awesome-o1, 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 README H1 and opening sentence to clarify 'OpenAI's o1' and repo type

    Why:

    CURRENT
    # awesome-o1

This is a bibliography of papers that are presumed to be related to OpenAI’s o1.
    COPY-PASTE FIX
    # awesome-o1: A Curated Bibliography and Survey of Research Papers on OpenAI's o1 Reasoning Model

This repository provides a comprehensive bibliography and survey of research papers specifically related to OpenAI’s o1 reasoning model, focusing on its chain of thought, reinforcement learning, and data-efficient training approaches.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    openai, o1, llm-reasoning, chain-of-thought, reinforcement-learning, bibliography, survey, awesome-list, artificial-intelligence
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root.

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 srush/awesome-o1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI API · recommended 1×
  5. Transformers · recommended 1×
  • CATEGORY QUERY
    What libraries help AI models develop a chain of thought for problem-solving and self-correction?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Transformers
    6. Guidance

    AI recommended 6 alternatives but never named srush/awesome-o1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to use reinforcement learning for data-efficient training of reasoning AI models?
    you: not recommended
    AI recommended (in order):
    1. DreamerV3
    2. AlphaZero
    3. MuZero
    4. Decision Transformers
    5. World Models
    6. Acme
    7. Stable Baselines3
    8. PPO
    9. Ray RLlib
    10. PlaNet
    11. PETS

    AI recommended 11 alternatives but never named srush/awesome-o1. 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 srush/awesome-o1?
    pass
    AI did not name srush/awesome-o1 — 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 srush/awesome-o1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named srush/awesome-o1 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 srush/awesome-o1 solve, and who is the primary audience?
    pass
    AI named srush/awesome-o1 explicitly

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

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srush/awesome-o1 — 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