RRepoGEO

REPOGEO REPORT · LITE

pikpikcu/airecon

Default branch main · commit 9a214534 · scanned 6/11/2026, 4:07:22 AM

GitHub: 643 stars · 100 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
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 pikpikcu/airecon, 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
    Populate the README H1 with a clear, category-defining title

    Why:

    CURRENT
    <h1 align="center">
  
</h1>
    COPY-PASTE FIX
    <h1 align="center">AIRecon: Autonomous AI Cybersecurity & Penetration Testing Agent</h1>
  • mediumhomepage#2
    Add the project's homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://pikpikcu.github.io/airecon/
  • mediumtopics#3
    Add explicit cybersecurity domain topics to reinforce categorization

    Why:

    CURRENT
    ai-agents, automation, bugbounty, cli, ollama, penetration-testing, python, reconnaissance
    COPY-PASTE FIX
    ai-agents, automation, bugbounty, cli, cybersecurity, infosec, ollama, penetration-testing, python, reconnaissance

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 pikpikcu/airecon
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 2×
  2. Mistral · recommended 1×
  3. Falcon · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. bitsandbytes · recommended 1×
  • CATEGORY QUERY
    How can I automate security assessments and bug bounty reconnaissance using local AI?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral
    3. Falcon
    4. Hugging Face Transformers
    5. bitsandbytes
    6. LoRA (Low-Rank Adaptation)
    7. Semgrep
    8. CodeQL
    9. Garak
    10. ProwlerAI
    11. Scrapy
    12. Maltego

    AI recommended 12 alternatives but never named pikpikcu/airecon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are offline penetration testing tools leveraging self-hosted large language models?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct
    3. Falcon 180B
    4. Ollama (ollama/ollama)
    5. LM Studio
    6. vLLM (vllm-project/vllm)
    7. Nmap (nmap/nmap)
    8. OpenVAS (greenbone/openvas)
    9. Nessus
    10. OWASP ZAP (zaproxy/zaproxy)
    11. Burp Suite
    12. LocalGPT (PromtEngineer/localGPT)
    13. PrivateGPT (imartinez/privateGPT)
    14. Exploit-DB (offensive-security/exploitdb)
    15. Metasploit Framework (rapid7/metasploit-framework)

    AI recommended 15 alternatives but never named pikpikcu/airecon. 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 pikpikcu/airecon?
    pass
    AI named pikpikcu/airecon explicitly

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

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

    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 pikpikcu/airecon. 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/pikpikcu/airecon.svg)](https://repogeo.com/en/r/pikpikcu/airecon)
HTML
<a href="https://repogeo.com/en/r/pikpikcu/airecon"><img src="https://repogeo.com/badge/pikpikcu/airecon.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

pikpikcu/airecon — 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