RRepoGEO

REPOGEO REPORT · LITE

bugbasesecurity/pentest-copilot

Default branch main · commit 6635a13c · scanned 6/10/2026, 11:07:43 PM

GitHub: 898 stars · 193 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 bugbasesecurity/pentest-copilot, 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 H1 description to clarify its unique agentic, open-source nature against common alternatives.

    Why:

    CURRENT
    An open-source, AI-driven penetration testing agent. Connects to a Kali attack box, runs tools autonomously, analyzes results, and iterates. You describe the target. It does the rest.
    COPY-PASTE FIX
    Pentest Copilot is an open-source, AI-driven penetration testing agent. Unlike traditional scanners or manual frameworks, it autonomously connects to a Kali attack box, runs tools, analyzes results, and iterates. You describe the target; it handles the rest.
  • mediumtopics#2
    Add more specific topics to improve categorization as an AI agent.

    Why:

    CURRENT
    ai, cybersecurity, cybersecurity-tools, llms, pentesting
    COPY-PASTE FIX
    ai, cybersecurity, cybersecurity-tools, llms, pentesting, ai-agent, autonomous-agent, red-teaming, offensive-security
  • lowcomparison#3
    Add a 'Comparison' or 'Why Pentest Copilot?' section to the README.

    Why:

    COPY-PASTE FIX
    ## Why Pentest Copilot?

Pentest Copilot stands apart from traditional vulnerability scanners and manual penetration testing frameworks. While commercial solutions like Invicti or Snyk offer automated scanning, they typically lack the agentic, iterative decision-making capabilities of an AI agent. Unlike generic open-source tools such as Metasploit or Nmap, Pentest Copilot orchestrates multiple tools autonomously on a remote attack box, analyzing output and adapting its strategy without constant human intervention. It's designed for real-world engagements, boot2root boxes, and CTFs, providing a truly hands-off, AI-driven approach to ethical hacking.

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 bugbasesecurity/pentest-copilot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Invicti
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Invicti · recommended 1×
  2. AppScan · recommended 1×
  3. Snyk · recommended 1×
  4. Veracode · recommended 1×
  5. Rapid7 InsightAppSec · recommended 1×
  • CATEGORY QUERY
    Seeking an AI-powered assistant to automate penetration testing and vulnerability analysis tasks.
    you: not recommended
    AI recommended (in order):
    1. Invicti
    2. AppScan
    3. Snyk
    4. Veracode
    5. Rapid7 InsightAppSec
    6. Tenable.io
    7. OWASP ZAP

    AI recommended 7 alternatives but never named bugbasesecurity/pentest-copilot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source AI tools can autonomously perform ethical hacking on a remote attack box?
    you: not recommended
    AI recommended (in order):
    1. Metasploit Framework
    2. scikit-learn
    3. TensorFlow
    4. PyTorch
    5. Nmap
    6. OpenVAS
    7. AutoGPT
    8. GPT-Engineer
    9. Nikto
    10. SQLMap
    11. Prowler

    AI recommended 11 alternatives but never named bugbasesecurity/pentest-copilot. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 bugbasesecurity/pentest-copilot?
    pass
    AI named bugbasesecurity/pentest-copilot explicitly

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

  • If a team adopts bugbasesecurity/pentest-copilot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bugbasesecurity/pentest-copilot 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 bugbasesecurity/pentest-copilot solve, and who is the primary audience?
    pass
    AI named bugbasesecurity/pentest-copilot 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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bugbasesecurity/pentest-copilot — 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