RRepoGEO

REPOGEO REPORT · LITE

0xSteph/pentest-ai-agents

Default branch main · commit 504b2ccc · scanned 6/17/2026, 6:16:58 PM

GitHub: 1,818 stars · 370 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 0xSteph/pentest-ai-agents, 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's opening to emphasize autonomous AI agent framework

    Why:

    CURRENT
    pentest-ai-agents is a collection of 35 Claude Code subagents that turn Claude into an offensive security research assistant.
    COPY-PASTE FIX
    pentest-ai-agents is an **autonomous AI agent framework** leveraging 35 specialized Claude Code subagents to automate and enhance end-to-end penetration testing engagements.
  • mediumreadme#2
    Explicitly state coverage of all penetration testing stages

    Why:

    CURRENT
    Each agent carries deep domain knowledge in a specific area: recon, web, Active Directory, cloud, mobile, wireless, social engineering, payload crafting, reverse engineering, exploit chaining, detection engineering, forensics, and more.
    COPY-PASTE FIX
    These agents provide deep domain knowledge and automation across **all stages of a penetration testing engagement**, including recon, web, Active Directory, cloud, mobile, wireless, social engineering, payload crafting, reverse engineering, exploit chaining, detection engineering, forensics, and more.
  • lowreadme#3
    Add project homepage link to README's top section

    Why:

    COPY-PASTE FIX
    [Project Homepage](https://pentestai.xyz/)

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-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Maltego
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Maltego · recommended 1×
  2. Shodan · recommended 1×
  3. SpiderFoot · recommended 1×
  4. OpenVAS · recommended 1×
  5. Greenbone Vulnerability Management (GVM) · recommended 1×
  • CATEGORY QUERY
    How can AI assist with automating various stages of a penetration testing engagement?
    you: not recommended
    AI recommended (in order):
    1. Maltego
    2. Shodan
    3. SpiderFoot
    4. OpenVAS
    5. Greenbone Vulnerability Management (GVM)
    6. Nuclei
    7. Deep Exploit
    8. Metasploit Framework
    9. Prowler
    10. Drata
    11. Vanta

    AI recommended 11 alternatives but never named 0xSteph/pentest-ai-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for AI tools to enhance red team operations and ethical hacking research.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT

    AI recommended 1 alternative but never named 0xSteph/pentest-ai-agents. 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-agents?
    pass
    AI named 0xSteph/pentest-ai-agents 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-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0xSteph/pentest-ai-agents 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-agents solve, and who is the primary audience?
    pass
    AI named 0xSteph/pentest-ai-agents explicitly

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

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0xSteph/pentest-ai-agents — 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