RRepoGEO

REPOGEO REPORT · LITE

Tokeii0/LovelyMem

Default branch NewWorld · commit 7da798a8 · scanned 5/28/2026, 4:02:22 PM

GitHub: 1,671 stars · 88 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 Tokeii0/LovelyMem, 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
    Move core purpose statement to the top of the README

    Why:

    CURRENT
    The first descriptive text after the H1/tagline is '一群已满 请加二群:668600249'. The core purpose is under '### 这是什么'.
    COPY-PASTE FIX
    Move the content of '### 这是什么' to immediately follow the H1 and tagline, replacing the QQ group message as the first descriptive paragraph. For example:
    ```
    # LovelyMem
    
    _✨ 基于*Memprocfs*和*Volatility*的可视化内存取证工具 ✨_
    
    一款基于 `MemProcFS`、`Volatility2`、`Volatility3` 的快捷内存取证工具。
    区别于 VolatilityPro,LovelyMem 提供了更快的取证速度和更便捷的功能。
    
    一群已满 请加二群:668600249
    ```
  • highhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    https://ctf.dog
  • mediumtopics#3
    Expand repository topics with more specific forensics terms

    Why:

    CURRENT
    ctf, ctftools, memprocfs, volatility, volatility3
    COPY-PASTE FIX
    ctf, ctftools, memprocfs, volatility, volatility3, memory-forensics, digital-forensics, visual-analysis, memory-dump-analysis

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 Tokeii0/LovelyMem
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Volatility 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Volatility 3 · recommended 1×
  2. Volatility Workbench · recommended 1×
  3. Rekall Framework · recommended 1×
  4. Autopsy · recommended 1×
  5. Wireshark · recommended 1×
  • CATEGORY QUERY
    How to quickly analyze memory dumps visually for CTF challenges?
    you: not recommended
    AI recommended (in order):
    1. Volatility 3
    2. Volatility Workbench
    3. Rekall Framework
    4. Autopsy
    5. Wireshark
    6. Registry Explorer (by Eric Zimmerman)
    7. Notepad++
    8. VS Code

    AI recommended 8 alternatives but never named Tokeii0/LovelyMem. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a faster, integrated memory analysis solution combining Volatility and MemProcFS capabilities.
    you: not recommended
    AI recommended (in order):
    1. MemProcFS (ufrisk/MemProcFS)
    2. Volatility (volatilityfoundation/volatility)
    3. Volatility 3 (volatilityfoundation/volatility3)
    4. Rekall (google/rekall)
    5. Comae Memory Toolkit
    6. Redline
    7. FTK Imager

    AI recommended 7 alternatives but never named Tokeii0/LovelyMem. 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 Tokeii0/LovelyMem?
    pass
    AI named Tokeii0/LovelyMem explicitly

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

  • If a team adopts Tokeii0/LovelyMem in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tokeii0/LovelyMem 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 Tokeii0/LovelyMem solve, and who is the primary audience?
    pass
    AI named Tokeii0/LovelyMem explicitly

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

Embed your GEO score

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MARKDOWN (README)
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Tokeii0/LovelyMem — 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