RRepoGEO

REPOGEO REPORT · LITE

microsoft/CyberBattleSim

Default branch main · commit 854d6966 · scanned 6/29/2026, 2:26:58 PM

GitHub: 1,778 stars · 283 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
56 /100
Needs work
Category recall
1 / 2
Avg rank #3.0 when recommended
Rule findings
1 pass · 1 warn · 0 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 microsoft/CyberBattleSim, 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
    Reposition the README's opening sentence to emphasize AI agent training

    Why:

    CURRENT
    CyberBattleSim is an experimentation research platform to investigate the interaction of automated agents operating in a simulated abstract enterprise network environment.
    COPY-PASTE FIX
    CyberBattleSim is a specialized experimentation and research platform designed for training and evaluating AI agents in simulated cybersecurity attack and defense scenarios within abstract network environments.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a URL to a dedicated project page, a relevant blog post (e.g., the Microsoft Security Blog announcement mentioned in the README), or a Microsoft Research page.

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
1 / 2
50% of queries surface microsoft/CyberBattleSim
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
GNS3/gns3-gui
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GNS3/gns3-gui · recommended 1×
  2. mininet/mininet · recommended 1×
  3. offensive-security/kali-linux · recommended 1×
  4. openai/gym · recommended 1×
  5. ELK Stack · recommended 1×
  • CATEGORY QUERY
    How can I simulate network security scenarios for training AI agents?
    you: not recommended
    AI recommended (in order):
    1. GNS3 (GNS3/gns3-gui)
    2. Mininet (mininet/mininet)
    3. Kali Linux (offensive-security/kali-linux)
    4. OpenAI Gym (openai/gym)
    5. ELK Stack
    6. Snort (snort/snort3)
    7. Suricata (OISF/suricata)

    AI recommended 7 alternatives but never named microsoft/CyberBattleSim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platforms allow training reinforcement learning agents for cybersecurity attack and defense?
    you: #3
    AI recommended (in order):
    1. Gymnasium (Farama-Foundation/Gymnasium)
    2. Malmo (Microsoft/malmo)
    3. CyberBattleSim (microsoft/CyberBattleSim) ← you
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. NS-3 (nsnam/ns-3-dev)
    7. CARLA (carla-simulator/carla)
    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 microsoft/CyberBattleSim?
    pass
    AI did not name microsoft/CyberBattleSim — 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 microsoft/CyberBattleSim in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/CyberBattleSim 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 microsoft/CyberBattleSim solve, and who is the primary audience?
    pass
    AI named microsoft/CyberBattleSim explicitly

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

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MARKDOWN (README)
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microsoft/CyberBattleSim — 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