RRepoGEO

REPOGEO REPORT · LITE

erwinmsmith/SOMAS

Default branch main · commit 8a759713 · scanned 6/8/2026, 7:02:57 PM

GitHub: 503 stars · 89 forks

AI VISIBILITY SCORE
35 /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
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 erwinmsmith/SOMAS, 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 specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    multi-agent-systems, reinforcement-learning, human-in-the-loop, safety-critical-systems, crisis-response, trusted-ai, llm, vision-language-models
  • highreadme#2
    Strengthen README's opening sentence to emphasize unique focus

    Why:

    CURRENT
    A Trusted Human-Multi-Agent Online and Offline Reinforcement Learning Interaction Framework
    COPY-PASTE FIX
    SOMAS is a Safety-Oriented, Trusted Human-Multi-Agent Reinforcement Learning (MARL) framework designed for human-machine collaborative crisis response, integrating vision-language models for enhanced safety and reliability.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    [Insert URL to project page, documentation, or relevant research paper here]

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 erwinmsmith/SOMAS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Anylogic
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Anylogic · recommended 1×
  2. Mesa · recommended 1×
  3. JaCaMo · recommended 1×
  4. ROS 2 · recommended 1×
  5. Apache Kafka · recommended 1×
  • CATEGORY QUERY
    How to build a safe multi-agent system for human-machine collaborative crisis response?
    you: not recommended
    AI recommended (in order):
    1. Anylogic
    2. Mesa
    3. JaCaMo
    4. ROS 2
    5. Apache Kafka
    6. MQTT
    7. TLA+
    8. SPIN
    9. ReliaSoft XFMEA
    10. APIS IQ-FMEA
    11. Grafana
    12. OpenHAB
    13. Home Assistant
    14. React
    15. Angular
    16. Vue.js

    AI recommended 16 alternatives but never named erwinmsmith/SOMAS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help develop trusted multi-agent reinforcement learning systems with human oversight?
    you: not recommended
    AI recommended (in order):
    1. RLlib (ray-project/ray)
    2. PettingZoo (Farama-Foundation/PettingZoo)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. OpenSpiel (deepmind/open_spiel)
    5. DI-engine (opendilab/DI-engine)

    AI recommended 5 alternatives but never named erwinmsmith/SOMAS. 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 erwinmsmith/SOMAS?
    pass
    AI named erwinmsmith/SOMAS explicitly

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

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

    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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erwinmsmith/SOMAS — 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