RRepoGEO

REPOGEO REPORT · LITE

0x4D31/galah

Default branch main · commit 8f77b85e · scanned 6/5/2026, 7:52:02 PM

GitHub: 649 stars · 68 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 0x4D31/galah, 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's opening to explicitly state core identity

    Why:

    CURRENT
    TL;DR: Galah (/ɡəˈlɑː/ - pronounced ‘guh-laa’) is an LLM-powered web honeypot designed to mimic various applications and dynamically respond to arbitrary HTTP requests.
    COPY-PASTE FIX
    Galah is an advanced, LLM-powered web honeypot. It dynamically simulates web applications and generates real-time, context-aware HTTP responses to detect and analyze attack attempts, offering a unique approach compared to traditional static honeypots.
  • mediumreadme#2
    Add a dedicated comparison section to highlight Galah's unique value

    Why:

    COPY-PASTE FIX
    Add a new section titled '## Galah's Unique Approach' or '## Why Galah Stands Out' that explicitly contrasts Galah with named traditional honeypots (e.g., T-Pot, Glastopf, Dionaea), focusing on its dynamic, LLM-driven response generation and adaptability.
  • lowhomepage#3
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/0x4D31/galah

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 0x4D31/galah
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
T-Pot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. T-Pot · recommended 1×
  2. Glastopf · recommended 1×
  3. Dionaea · recommended 1×
  4. Conpot · recommended 1×
  5. HonSSH · recommended 1×
  • CATEGORY QUERY
    How can I set up a web honeypot that dynamically responds to diverse attack attempts?
    you: not recommended
    AI recommended (in order):
    1. T-Pot
    2. Glastopf
    3. Dionaea
    4. Conpot
    5. HonSSH
    6. MHN (Modern Honeynet Network)
    7. Kojoney2
    8. OpenCanary
    9. Shadow Daemon

    AI recommended 9 alternatives but never named 0x4D31/galah. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a security tool that leverages large language models to simulate web services.
    you: not recommended
    AI recommended (in order):
    1. PortSwigger Burp Suite Enterprise Edition
    2. OpenAI API
    3. Google Cloud Vertex AI
    4. Postman
    5. OWASP ZAP
    6. Traffic Parrot
    7. WireMock

    AI recommended 7 alternatives but never named 0x4D31/galah. 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 0x4D31/galah?
    pass
    AI named 0x4D31/galah explicitly

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

  • If a team adopts 0x4D31/galah in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0x4D31/galah 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 0x4D31/galah solve, and who is the primary audience?
    pass
    AI named 0x4D31/galah explicitly

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

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0x4D31/galah — 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