RRepoGEO

REPOGEO REPORT · LITE

samugit83/redamon

Default branch master · commit 6a75ce19 · scanned 5/19/2026, 4:16:47 PM

GitHub: 1,896 stars · 402 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
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 samugit83/redamon, 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
    Add a concise, direct project definition as the README's first line

    Why:

    CURRENT
    The README currently starts with a tagline and then a descriptive paragraph.
    COPY-PASTE FIX
    Redamon is an AI-powered agentic red team framework for automated offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.
  • mediumhomepage#2
    Populate the 'Homepage' field in the repository's About section

    Why:

    COPY-PASTE FIX
    https://www.redamon.org/
  • lowreadme#3
    Emphasize Redamon's unique 'agentic AI' and 'zero human intervention' capabilities

    Why:

    CURRENT
    The current descriptive paragraph.
    COPY-PASTE FIX
    Review the initial descriptive paragraph to ensure 'AI-powered agentic,' 'autonomous,' and 'zero human intervention' are highlighted as core differentiators, perhaps by bolding or rephrasing for impact.

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 samugit83/redamon
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 2×
  2. projectdiscovery/nuclei · recommended 1×
  3. greenbone/openvas-scanner · recommended 1×
  4. greenbone/gvm · recommended 1×
  5. Shodan · recommended 1×
  • CATEGORY QUERY
    How can I automate penetration testing and exploitation with an AI agent?
    you: not recommended
    AI recommended (in order):
    1. Nuclei (projectdiscovery/nuclei)
    2. OpenVAS (greenbone/openvas-scanner)
    3. Greenbone Vulnerability Management (GVM) (greenbone/gvm)
    4. Shodan
    5. Censys
    6. Metasploit Framework (rapid7/metasploit-framework)
    7. Pocsuite3 (knownsec/Pocsuite3)
    8. Project Zero-Shot
    9. Empire (BC-SECURITY/Empire)
    10. Covenant (RastaMouse/Covenant)
    11. BloodHound (BloodHoundAD/BloodHound)
    12. AFL++ (American Fuzzy Lop Plus Plus) (AFLplusplus/AFLplusplus)
    13. LibFuzzer
    14. Honggfuzz (google/honggfuzz)

    AI recommended 14 alternatives but never named samugit83/redamon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an autonomous AI framework to simulate red team attacks and suggest fixes.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym (openai/gym)
    2. Stable Bas3 (DLR-RM/stable-baselines3)
    3. MITRE Caldera (mitre/caldera)
    4. RLlib (ray-project/ray)
    5. Ray (ray-project/ray)
    6. Google's Security AI Workbench
    7. Sec-PaLM
    8. Project Malmo (microsoft/malmo)

    AI recommended 8 alternatives but never named samugit83/redamon. 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 samugit83/redamon?
    pass
    AI named samugit83/redamon explicitly

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

  • If a team adopts samugit83/redamon in production, what risks or prerequisites should they evaluate first?
    pass
    AI named samugit83/redamon 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 samugit83/redamon solve, and who is the primary audience?
    pass
    AI named samugit83/redamon explicitly

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

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samugit83/redamon — 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