RRepoGEO

REPOGEO REPORT · LITE

GH05TCREW/pentestagent

Default branch main · commit 1ed9d4ee · scanned 5/11/2026, 8:27:43 PM

GitHub: 2,328 stars · 461 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 GH05TCREW/pentestagent, 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 opening to emphasize 'AI Agent Framework' and differentiate

    Why:

    CURRENT
    The README currently has `### AI Penetration Testing` followed by badges/images and then `## Requirements`.
    COPY-PASTE FIX
    Add the following text immediately after `### AI Penetration Testing`:
    ```
    PentestAgent is an advanced AI agent framework designed for autonomous black-box security testing. Unlike traditional vulnerability scanners or generic LLM interfaces, it simulates a human penetration tester, orchestrating a suite of tools and leveraging a knowledge graph to conduct comprehensive bug bounty, red-team, and penetration testing workflows.
    ```
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., `## Why PentestAgent? (vs. Traditional Tools)`, with content highlighting the autonomous AI agent aspect vs. manual/scripted tools:
    ```
    ## Why PentestAgent? (vs. Traditional Tools)
    
    PentestAgent stands apart from traditional security tools and generic LLM interfaces by offering an autonomous AI agent framework.
    
    *   **Vs. Vulnerability Scanners (e.g., OWASP ZAP, Nuclei):** While scanners identify known vulnerabilities, PentestAgent actively explores, adapts, and exploits, mimicking a human tester's thought process to uncover novel attack paths and complex logic flaws.
    *   **Vs. Exploitation Frameworks (e.g., Metasploit):** Metasploit provides a powerful arsenal of exploits. PentestAgent, however, intelligently selects, chains, and executes these (or similar) tools as part of a broader, goal-oriented testing strategy, making decisions dynamically based on observed target behavior.
    *   **Vs. Generic LLMs (e.g., GPT-4):** While PentestAgent leverages LLMs, it's a specialized framework that integrates them with a robust tool orchestration layer and a security-focused knowledge graph, enabling practical, actionable security testing rather than just generating advice.
    ```
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/GH05TCREW/pentestagent

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 GH05TCREW/pentestagent
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 · recommended 2×
  2. Prowler · recommended 2×
  3. Metasploit Framework · recommended 2×
  4. Nuclei · recommended 2×
  5. OWASP ZAP · recommended 1×
  • CATEGORY QUERY
    Looking for an AI-driven framework to automate black-box penetration testing workflows.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5
    2. Prowler
    3. Metasploit Framework
    4. OWASP ZAP
    5. Nuclei

    AI recommended 5 alternatives but never named GH05TCREW/pentestagent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI agents for red-team operations and bug bounty hunting?
    you: not recommended
    AI recommended (in order):
    1. Metasploit Framework
    2. OpenAI GPT-4 / GPT-3.5
    3. Burp Suite
    4. Project Discovery
    5. Nuclei
    6. Katana
    7. Prowler
    8. scikit-learn
    9. TensorFlow
    10. PyTorch

    AI recommended 10 alternatives but never named GH05TCREW/pentestagent. 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 GH05TCREW/pentestagent?
    pass
    AI named GH05TCREW/pentestagent explicitly

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

  • If a team adopts GH05TCREW/pentestagent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GH05TCREW/pentestagent 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 GH05TCREW/pentestagent solve, and who is the primary audience?
    pass
    AI named GH05TCREW/pentestagent explicitly

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

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GH05TCREW/pentestagent — 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