RRepoGEO

REPOGEO REPORT · LITE

lafmdp/Awesome-Papers-Autonomous-Agent

Default branch main · commit be9f06db · scanned 6/14/2026, 4:42:59 AM

GitHub: 748 stars · 58 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 lafmdp/Awesome-Papers-Autonomous-Agent, 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 opening to clarify it's a curated list of papers

    Why:

    CURRENT
    This is a collection of recent papers focusing on autonomous agent.
    COPY-PASTE FIX
    This is an actively maintained **awesome list** and curated collection of recent research papers focusing on autonomous agents, specifically covering RL-based and LLM-based approaches.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file (e.g., MIT or CC0) to the repository root to clarify usage terms for the list content.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL in the 'About' section to `https://github.com/lafmdp/Awesome-Papers-Autonomous-Agent`.

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 lafmdp/Awesome-Papers-Autonomous-Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar · recommended 1×
  3. NeurIPS · recommended 1×
  4. ICML · recommended 1×
  5. AAAI · recommended 1×
  • CATEGORY QUERY
    Where can I find recent research papers on building intelligent autonomous agents?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. NeurIPS
    4. ICML
    5. AAAI
    6. IJCAI
    7. Robotics: Science and Systems (RSS)

    AI recommended 7 alternatives but never named lafmdp/Awesome-Papers-Autonomous-Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest advancements in LLM-based and reinforcement learning agents?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Gemini
    3. Llama 3
    4. Claude 3
    5. LangChain
    6. LlamaIndex
    7. AlphaFold 3
    8. Gato
    9. RT-2
    10. Dactyl
    11. Solving Rubik's Cube with a Robot Hand
    12. Stable Baselines3
    13. RLlib
    14. DreamerV3

    AI recommended 14 alternatives but never named lafmdp/Awesome-Papers-Autonomous-Agent. 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 lafmdp/Awesome-Papers-Autonomous-Agent?
    pass
    AI did not name lafmdp/Awesome-Papers-Autonomous-Agent — 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 lafmdp/Awesome-Papers-Autonomous-Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lafmdp/Awesome-Papers-Autonomous-Agent 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 lafmdp/Awesome-Papers-Autonomous-Agent solve, and who is the primary audience?
    pass
    AI did not name lafmdp/Awesome-Papers-Autonomous-Agent — 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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lafmdp/Awesome-Papers-Autonomous-Agent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite