RRepoGEO

REPOGEO REPORT · LITE

sslab-gatech/qsym

Default branch master · commit 153a0b46 · scanned 5/30/2026, 2:43:16 PM

GitHub: 654 stars · 137 forks

AI VISIBILITY SCORE
56 /100
Needs work
Category recall
1 / 2
Avg rank #5.0 when recommended
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 sslab-gatech/qsym, 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 introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    QSYM is a high-performance concolic execution engine specifically designed to enhance hybrid fuzzing, particularly when integrated with AFL. It combines the strengths of symbolic execution with traditional fuzzing to achieve superior code coverage and vulnerability discovery in compiled binaries, making it an essential tool for security researchers and software vulnerability analysts.
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Navigate to your repository's 'Settings' -> 'General' and add the official project website URL in the 'Website' field.
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
QSYM is licensed under [Specify License(s) Here]. Please refer to the `LICENSE` file in the repository root 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
1 / 2
50% of queries surface sslab-gatech/qsym
Avg rank
#5.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
Mayhem
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mayhem · recommended 2×
  2. Angr · recommended 1×
  3. QEMU · recommended 1×
  4. AFL++ · recommended 1×
  5. LibFuzzer · recommended 1×
  • CATEGORY QUERY
    How to improve fuzzing effectiveness by combining symbolic execution with traditional methods?
    you: not recommended
    AI recommended (in order):
    1. Angr
    2. QEMU
    3. AFL++
    4. LibFuzzer
    5. KLEE
    6. Triton
    7. S2E
    8. Mayhem
    9. Manticore

    AI recommended 9 alternatives but never named sslab-gatech/qsym. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best concolic execution tools for analyzing compiled binaries?
    you: #5
    AI recommended (in order):
    1. S2E (s2e/s2e)
    2. QEMU (qemu/qemu)
    3. KLEE (klee/klee)
    4. Angr (angr/angr)
    5. QSYM (sslab-gatech/qsym) ← you
    6. Intel PT
    7. LLVM (llvm/llvm-project)
    8. Manticore (trailofbits/manticore)
    9. Mayhem
    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 sslab-gatech/qsym?
    pass
    AI named sslab-gatech/qsym explicitly

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

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

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

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sslab-gatech/qsym — 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