RRepoGEO

REPOGEO REPORT · LITE

0xSteph/pentest-ai

Default branch main · commit 4fb2652a · scanned 6/3/2026, 7:41:37 AM

GitHub: 586 stars · 107 forks

AI VISIBILITY SCORE
33 /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
2 / 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 0xSteph/pentest-ai, 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 tagline to emphasize LLM/AI

    Why:

    CURRENT
    Autonomous pentests from one command. Real tools, working PoCs, audit-ready reports.
    COPY-PASTE FIX
    Autonomous, LLM-powered pentests from one command. Real tools, working PoCs, audit-ready reports. BYO LLM, no API key needed.
  • mediumreadme#2
    Add a 'Why pentest-ai?' section highlighting LLM differentiation

    Why:

    COPY-PASTE FIX
    ## Why pentest-ai?

Unlike traditional pentesting tools, `pentest-ai` leverages Large Language Models (LLMs) to orchestrate offensive security tasks, generate exploit chains, and produce audit-ready reports. It's an open-source, modular platform designed for autonomous, AI-driven penetration testing, allowing you to bring your own LLM without cloud dependencies or API keys.
  • mediumtopics#3
    Expand topics with more specific LLM/AI terms

    Why:

    CURRENT
    ai-security, bug-bounty, claude, ctf, cybersecurity, exploit, exploit-chaining, hacking-tools, mcp, model-context-protocol, nmap, offensive-security, osint, penetration-testing, pentest-ai, pentesting, python, red-team, security, vulnerability-scanner
    COPY-PASTE FIX
    ai-security, bug-bounty, claude, ctf, cybersecurity, exploit, exploit-chaining, generative-ai, hacking-tools, large-language-models, llm-security, mcp, model-context-protocol, nmap, offensive-security, osint, penetration-testing, pentest-ai, pentesting, python, red-team, security, vulnerability-scanner

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 0xSteph/pentest-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OWASP ZAP (Zed Attack Proxy)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP ZAP (Zed Attack Proxy) · recommended 1×
  2. AppSec Flow · recommended 1×
  3. PortSwigger Burp Suite Enterprise Edition · recommended 1×
  4. projectdiscovery/nuclei · recommended 1×
  5. Scrapy · recommended 1×
  • CATEGORY QUERY
    How to automate penetration testing for web applications using AI agents?
    you: not recommended
    AI recommended (in order):
    1. OWASP ZAP (Zed Attack Proxy)
    2. AppSec Flow
    3. PortSwigger Burp Suite Enterprise Edition
    4. Nuclei (projectdiscovery/nuclei)
    5. Scrapy
    6. Selenium
    7. Playwright
    8. TensorFlow
    9. PyTorch
    10. Scikit-learn
    11. spaCy
    12. Apache Airflow
    13. Prefect

    AI recommended 13 alternatives but never named 0xSteph/pentest-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an offline AI-driven security tool to generate exploit chains and audit reports.
    you: not recommended
    AI recommended (in order):
    1. Metasploit Framework (rapid7/metasploit-framework)
    2. Pwnagotchi (evilsocket/pwnagotchi)
    3. Immunity Canvas
    4. Core Impact
    5. Vuls (future-architect/vuls)
    6. OpenVAS (greenbone/openvas)
    7. scikit-learn (scikit-learn/scikit-learn)
    8. TensorFlow Lite (tensorflow/tensorflow)
    9. PyTorch Mobile (pytorch/pytorch)

    AI recommended 9 alternatives but never named 0xSteph/pentest-ai. 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 0xSteph/pentest-ai?
    pass
    AI named 0xSteph/pentest-ai explicitly

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

  • If a team adopts 0xSteph/pentest-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0xSteph/pentest-ai 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 0xSteph/pentest-ai solve, and who is the primary audience?
    pass
    AI did not name 0xSteph/pentest-ai — likely talking about a different project

    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 0xSteph/pentest-ai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/0xSteph/pentest-ai.svg)](https://repogeo.com/en/r/0xSteph/pentest-ai)
HTML
<a href="https://repogeo.com/en/r/0xSteph/pentest-ai"><img src="https://repogeo.com/badge/0xSteph/pentest-ai.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

0xSteph/pentest-ai — 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
0xSteph/pentest-ai — RepoGEO report