RRepoGEO

REPOGEO REPORT · LITE

frankwxu/digital-forensics-lab

Default branch main · commit b66ee920 · scanned 5/26/2026, 7:32:53 PM

GitHub: 2,623 stars · 557 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 frankwxu/digital-forensics-lab, 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
    Add a concise value proposition to the README's opening

    Why:

    COPY-PASTE FIX
    # Digital Forensics Lab & Shared Cyber Forensic Intelligence Repository

This repository provides free, hands-on digital forensics labs designed for students and faculty to learn and practice various forensic techniques.
  • mediumtopics#2
    Expand topics to include 'training' and 'lab' keywords

    Why:

    CURRENT
    cyber, cybercrime, cybersecurity, cybersecurity-education, digital, education, forensics, free, hands-on, investigation
    COPY-PASTE FIX
    cyber, cybercrime, cybersecurity, cybersecurity-education, digital, education, forensics, free, hands-on, investigation, digital-forensics-training, cybersecurity-labs, learning-platform, practical-cybersecurity
  • mediumreadme#3
    Clarify the repository's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This repository contains materials released under [specify license(s) here, e.g., CC BY-NC-SA 4.0 for content, MIT for code]. Please refer to the LICENSE file for full details.

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 frankwxu/digital-forensics-lab
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TryHackMe
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TryHackMe · recommended 2×
  2. Hack The Box Academy · recommended 2×
  3. CyberDefenders · recommended 1×
  4. SANS Digital Forensics and Incident Response (DFIR) Blog/Resources · recommended 1×
  5. National Cyber League (NCL) · recommended 1×
  • CATEGORY QUERY
    Where can I find free hands-on labs for learning digital forensics concepts?
    you: not recommended
    AI recommended (in order):
    1. CyberDefenders
    2. TryHackMe
    3. Hack The Box Academy
    4. SANS Digital Forensics and Incident Response (DFIR) Blog/Resources
    5. National Cyber League (NCL)
    6. Magnet Forensics

    AI recommended 6 alternatives but never named frankwxu/digital-forensics-lab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some resources for practical cybersecurity investigation training using open-source tools?
    you: not recommended
    AI recommended (in order):
    1. SANS Cyber Aces Online
    2. TryHackMe
    3. Autopsy
    4. Wireshark
    5. Nmap
    6. Metasploit Framework
    7. Hack The Box Academy
    8. Volatility Framework
    9. Sleuth Kit
    10. OWASP (Open Web Application Security Project) Resources
    11. OWASP ZAP
    12. Burp Suite Community Edition
    13. Kali Linux Documentation and Community Resources
    14. Aircrack-ng
    15. DFIRTraining.com
    16. GRR Rapid Response
    17. OSQuery

    AI recommended 17 alternatives but never named frankwxu/digital-forensics-lab. 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 frankwxu/digital-forensics-lab?
    pass
    AI did not name frankwxu/digital-forensics-lab — 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 frankwxu/digital-forensics-lab in production, what risks or prerequisites should they evaluate first?
    pass
    AI named frankwxu/digital-forensics-lab 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 frankwxu/digital-forensics-lab solve, and who is the primary audience?
    pass
    AI named frankwxu/digital-forensics-lab 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 frankwxu/digital-forensics-lab. 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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frankwxu/digital-forensics-lab — 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