RRepoGEO

REPOGEO REPORT · LITE

BrownFineSecurity/iothackbot

Default branch master · commit d443c408 · scanned 6/8/2026, 6:07:42 AM

GitHub: 773 stars · 118 forks

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 BrownFineSecurity/iothackbot, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    iot-security, pentesting, ai, claude, vulnerability-discovery, embedded-systems, security-testing, firmware-analysis
  • mediumreadme#2
    Enhance README opening to emphasize AI and open-source

    Why:

    CURRENT
    Open-source IoT security testing toolkit with integrated Claude Code skills for automated vulnerability discovery.
    COPY-PASTE FIX
    IoTHackBot is an open-source, AI-powered toolkit for automated vulnerability discovery and hybrid pentesting of IoT devices and embedded systems.
  • mediumreadme#3
    Highlight Shodan and Metasploit integration in README

    Why:

    COPY-PASTE FIX
    IoTHackBot uniquely integrates Shodan for advanced device discovery and Metasploit for streamlined exploitation, providing a comprehensive, end-to-end IoT pentesting workflow. (Add this sentence to the 'Overview' or a new 'Key Integrations' section.)

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 BrownFineSecurity/iothackbot
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
firmadyne/firmadyne
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. firmadyne/firmadyne · recommended 1×
  2. qemu/qemu · recommended 1×
  3. ReFirmLabs/binwalk · recommended 1×
  4. radareorg/radare2 · recommended 1×
  5. NationalSecurityAgency/ghidra · recommended 1×
  • CATEGORY QUERY
    What open-source tools assist with automated vulnerability discovery for IoT devices?
    you: not recommended
    AI recommended (in order):
    1. Firmadyne (firmadyne/firmadyne)
    2. QEMU (qemu/qemu)
    3. Binwalk (ReFirmLabs/binwalk)
    4. Radare2 (radareorg/radare2)
    5. Ghidra (NationalSecurityAgency/ghidra)
    6. AFL++ (AFLplusplus/AFLplusplus)
    7. IoTSeeker (IoT-Seeker/IoT-Seeker)
    8. Routersploit (threat9/routersploit)

    AI recommended 8 alternatives but never named BrownFineSecurity/iothackbot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking AI-powered tools for comprehensive security assessment of embedded systems and IoT firmware.
    you: not recommended
    AI recommended (in order):
    1. Forescout eyeSight with SilentDefense
    2. Finite State Platform
    3. BlackBerry CylancePROTECT
    4. Palo Alto Networks IoT Security
    5. Microsoft Defender for IoT
    6. Vdoo Connected Device Security Platform

    AI recommended 6 alternatives but never named BrownFineSecurity/iothackbot. 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 BrownFineSecurity/iothackbot?
    pass
    AI named BrownFineSecurity/iothackbot explicitly

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

  • If a team adopts BrownFineSecurity/iothackbot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BrownFineSecurity/iothackbot 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 BrownFineSecurity/iothackbot solve, and who is the primary audience?
    pass
    AI named BrownFineSecurity/iothackbot 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 BrownFineSecurity/iothackbot. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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BrownFineSecurity/iothackbot — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
BrownFineSecurity/iothackbot — RepoGEO report