RRepoGEO

REPOGEO REPORT · LITE

ipa-lab/hackingBuddyGPT

Default branch main · commit d0ff901f · scanned 5/25/2026, 12:46:45 AM

GitHub: 1,102 stars · 188 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 ipa-lab/hackingBuddyGPT, 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
    Clarify the README's opening statement to emphasize 'framework' for AI-powered ethical hacking

    Why:

    CURRENT
    *Helping Ethical Hackers use LLMs in 50 Lines of Code or less..*
    COPY-PASTE FIX
    HackingBuddyGPT is **THE go-to framework for security researchers and pen-testers** to rapidly build and deploy LLM-based autonomous agents for security testing.
  • mediumabout#2
    Update the repository description to highlight its role as an AI-powered security testing framework

    Why:

    CURRENT
    Helping Ethical Hackers use LLMs in 50 Lines of Code or less..
    COPY-PASTE FIX
    A lightweight framework for ethical hackers and security researchers to build and deploy LLM-based autonomous agents for AI-driven security testing.
  • mediumtopics#3
    Expand repository topics to include more specific AI security and automation terms

    Why:

    CURRENT
    large-language-models, llm, penetration-testing, pentesting
    COPY-PASTE FIX
    large-language-models, llm, penetration-testing, pentesting, ai-security, security-automation, llm-agents, red-teaming-tools

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 ipa-lab/hackingBuddyGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. GitHub Copilot · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    Tools to integrate AI language models into my ethical hacking workflow?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. GitHub Copilot
    4. Google Cloud Vertex AI
    5. Azure OpenAI Service
    6. Perplexity AI
    7. Phind
    8. Ollama (ollama/ollama)
    9. LM Studio

    AI recommended 9 alternatives but never named ipa-lab/hackingBuddyGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight framework to quickly automate security testing with AI.
    you: not recommended
    AI recommended (in order):
    1. OWASP ZAP
    2. Nuclei
    3. Grype/Syft
    4. Brakeman
    5. Semgrep

    AI recommended 5 alternatives but never named ipa-lab/hackingBuddyGPT. 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 ipa-lab/hackingBuddyGPT?
    pass
    AI did not name ipa-lab/hackingBuddyGPT — 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?

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

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

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ipa-lab/hackingBuddyGPT — 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