RRepoGEO

REPOGEO REPORT · LITE

darbra/awesome-ai-reverse

Default branch main · commit 791eb7bb · scanned 7/1/2026, 1:57:41 PM

GitHub: 523 stars · 40 forks

AI VISIBILITY SCORE
22 /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
1 / 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 darbra/awesome-ai-reverse, 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
  • highabout#1
    Expand the GitHub 'About' description for clarity

    Why:

    CURRENT
    ai reverse 一把梭
    COPY-PASTE FIX
    A curated Awesome List of AI-driven reverse engineering tools and resources, covering JS, binary, Android security, and traffic analysis with LLMs.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the project's licensing terms.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a link to a project homepage, documentation, or a relevant landing page in the repository's 'About' 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 darbra/awesome-ai-reverse
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. JSNice · recommended 1×
  3. Intezer Analyze · recommended 1×
  4. ANY.RUN · recommended 1×
  5. Malwarebytes Threat Intelligence · recommended 1×
  • CATEGORY QUERY
    What are the best AI-driven tools for analyzing obfuscated JavaScript code?
    you: not recommended
    AI recommended (in order):
    1. JSNice
    2. Intezer Analyze
    3. ANY.RUN
    4. Malwarebytes Threat Intelligence
    5. TensorFlow.js
    6. PyTorch
    7. Esprima
    8. Acorn

    AI recommended 8 alternatives but never named darbra/awesome-ai-reverse. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can AI models assist with binary analysis and Android security research?
    you: not recommended
    AI recommended (in order):
    1. IDA Pro
    2. scikit-learn
    3. TensorFlow
    4. PyTorch
    5. Ghidra
    6. Androguard
    7. DroidBot
    8. Isolation Forest
    9. One-Class SVM
    10. Frida
    11. MalwareBazaar
    12. DeepMind's AlphaZero
    13. AlphaCode

    AI recommended 13 alternatives but never named darbra/awesome-ai-reverse. 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 darbra/awesome-ai-reverse?
    pass
    AI did not name darbra/awesome-ai-reverse — 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 darbra/awesome-ai-reverse in production, what risks or prerequisites should they evaluate first?
    pass
    AI named darbra/awesome-ai-reverse 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 darbra/awesome-ai-reverse solve, and who is the primary audience?
    pass
    AI did not name darbra/awesome-ai-reverse — 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?

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darbra/awesome-ai-reverse — 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