RRepoGEO

REPOGEO REPORT · LITE

sooryathejas/METATRON

Default branch main · commit 9dd2ee3d · scanned 5/29/2026, 6:57:51 AM

GitHub: 3,021 stars · 613 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 sooryathejas/METATRON, 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:

    COPY-PASTE FIX
    cybersecurity, penetration-testing, pentesting, vulnerability-scanning, local-llm, ai-assistant, linux, parrot-os, nmap, ethical-hacking, security-tools
  • highreadme#2
    Strengthen the README's opening statement to clarify its tool category

    Why:

    CURRENT
    AI-powered penetration testing assistant using local LLM on linux (Parrot OS)
    COPY-PASTE FIX
    METATRON is a CLI-based, AI-powered penetration testing tool that automates vulnerability scanning and exploit suggestions using local LLMs on Linux (Parrot OS).
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/sooryathejas/METATRON

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 sooryathejas/METATRON
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVAS/Greenbone Vulnerability Management (GVM)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVAS/Greenbone Vulnerability Management (GVM) · recommended 1×
  2. Scikit-learn · recommended 1×
  3. TensorFlow · recommended 1×
  4. PyTorch · recommended 1×
  5. Metasploit Framework · recommended 1×
  • CATEGORY QUERY
    How can I automate penetration testing using a local AI model on Linux?
    you: not recommended
    AI recommended (in order):
    1. OpenVAS/Greenbone Vulnerability Management (GVM)
    2. Scikit-learn
    3. TensorFlow
    4. PyTorch
    5. Metasploit Framework
    6. Nmap
    7. OWASP ZAP (Zed Attack Proxy)
    8. Maltego
    9. Kali Linux

    AI recommended 9 alternatives but never named sooryathejas/METATRON. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an offline AI assistant to automate vulnerability scanning and exploit suggestions.
    you: not recommended
    AI recommended (in order):
    1. OpenVAS / Greenbone Vulnerability Management (GVM)
    2. scikit-learn (scikit-learn/scikit-learn)
    3. TensorFlow (tensorflow/tensorflow)
    4. Nessus
    5. Metasploit Framework (rapid7/metasploit-framework)
    6. OWASP ZAP (zaproxy/zaproxy)
    7. Nuclei (projectdiscovery/nuclei)
    8. Ghidra (NationalSecurityAgency/ghidra)

    AI recommended 8 alternatives but never named sooryathejas/METATRON. 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 sooryathejas/METATRON?
    pass
    AI named sooryathejas/METATRON explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of sooryathejas/METATRON. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/sooryathejas/METATRON"><img src="https://repogeo.com/badge/sooryathejas/METATRON.svg" alt="RepoGEO" /></a>
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sooryathejas/METATRON — 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