RRepoGEO

REPOGEO REPORT · LITE

JackHopkins/factorio-learning-environment

Default branch main · commit 6439e18b · scanned 6/11/2026, 3:17:02 PM

GitHub: 1,000 stars · 82 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 JackHopkins/factorio-learning-environment, 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
    Strengthen the README's opening sentence to emphasize its unique niche

    Why:

    CURRENT
    An open source framework for developing and evaluating LLM agents in the game of Factorio.
    COPY-PASTE FIX
    A specialized open-source framework and learning environment for developing, training, and rigorously evaluating Large Language Model (LLM) agents within the complex, non-saturating game of Factorio.
  • mediumreadme#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is released under [briefly describe the license, e.g., "a custom license combining elements of X and Y"]. Please see the [LICENSE](LICENSE) file for full details.

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 JackHopkins/factorio-learning-environment
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
argilla-io/argilla
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. argilla-io/argilla · recommended 1×
  2. Surveymonkey · recommended 1×
  3. Qualtrics · recommended 1×
  4. streamlit/streamlit · recommended 1×
  5. gradio-app/gradio · recommended 1×
  • CATEGORY QUERY
    How can I evaluate large language model agents in a non-saturating game environment?
    you: not recommended
    AI recommended (in order):
    1. Argilla (argilla-io/argilla)
    2. Surveymonkey
    3. Qualtrics
    4. Streamlit (streamlit/streamlit)
    5. Gradio (gradio-app/gradio)
    6. OpenAI Gym (openai/gym)
    7. Farama Gymnasium (Farama-Foundation/Gymnasium)
    8. PettingZoo (Farama-Foundation/PettingZoo)
    9. Elo Rating System
    10. TrueSkill (sublee/trueskill)
    11. Scikit-learn (scikit-learn/scikit-learn)
    12. PyTorch (pytorch/pytorch)
    13. TensorFlow (tensorflow/tensorflow)
    14. LangChain (langchain-ai/langchain)
    15. LlamaIndex (run-llama/llama_index)
    16. Matplotlib (matplotlib/matplotlib)
    17. Plotly (plotly/plotly.py)
    18. SciPy (scipy/scipy)
    19. NEAT
    20. Novelty Search

    AI recommended 20 alternatives but never named JackHopkins/factorio-learning-environment. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build environments for training AI agents in complex resource management games?
    you: not recommended
    AI recommended (in order):
    1. Unity ML-Agents
    2. Unity

    AI recommended 2 alternatives but never named JackHopkins/factorio-learning-environment. 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 JackHopkins/factorio-learning-environment?
    pass
    AI did not name JackHopkins/factorio-learning-environment — 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 JackHopkins/factorio-learning-environment in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JackHopkins/factorio-learning-environment 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 JackHopkins/factorio-learning-environment solve, and who is the primary audience?
    pass
    AI did not name JackHopkins/factorio-learning-environment — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite