RRepoGEO

REPOGEO REPORT · LITE

trailofbits/deepstate

Default branch master · commit e68b98e5 · scanned 6/14/2026, 12:13:35 AM

GitHub: 861 stars · 107 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 trailofbits/deepstate, 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
    Reposition the README's opening to emphasize its unifying framework role

    Why:

    CURRENT
    DeepState is a framework that provides C and C++ developers with a common interface to various symbolic execution and fuzzing engines.
    COPY-PASTE FIX
    DeepState is a **unifying framework** for C/C++ that provides a **Google Test-like interface** to *multiple* symbolic execution and fuzzing engines, abstracting away their individual complexities. It allows developers to write one test harness and execute it across various backends like AFL++, LibFuzzer, KLEE, and Angr.
  • mediumcomparison#2
    Add a 'Comparison with other tools' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with other tools

DeepState is not a fuzzer or symbolic execution engine itself, but rather a framework that sits *above* these tools. While tools like AFL++, LibFuzzer, KLEE, and Angr are powerful engines for finding bugs, DeepState provides a common, Google Test-like API to leverage them all from a single test harness. This means you don't need to learn the intricacies of each individual engine; instead, you write your tests once in DeepState and choose your preferred backend(s) for execution.
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add your project's official website or documentation URL (e.g., `https://deepstate.io` or `https://trailofbits.github.io/deepstate/`) to the 'Homepage' field 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 trailofbits/deepstate
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AFL++
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AFL++ · recommended 1×
  2. LibFuzzer · recommended 1×
  3. AddressSanitizer (ASan) · recommended 1×
  4. UndefinedBehaviorSanitizer (UBSan) · recommended 1×
  5. MemorySanitizer (MSan) · recommended 1×
  • CATEGORY QUERY
    How to integrate advanced fuzzing and symbolic execution into C/C++ unit tests?
    you: not recommended
    AI recommended (in order):
    1. AFL++
    2. LibFuzzer
    3. AddressSanitizer (ASan)
    4. UndefinedBehaviorSanitizer (UBSan)
    5. MemorySanitizer (MSan)
    6. KLEE
    7. SymCC
    8. honggfuzz
    9. Angr
    10. Eclipser

    AI recommended 10 alternatives but never named trailofbits/deepstate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to unify C/C++ fuzzing and symbolic execution engines.
    you: not recommended
    AI recommended (in order):
    1. Angr (angr/angr)
    2. QEMU (qemu/qemu)
    3. LibFuzzer (llvm/llvm-project)
    4. AFL++ (AFLplusplus/AFLplusplus)
    5. KLEE (klee/klee)
    6. Manticore (trailofbits/manticore)

    AI recommended 6 alternatives but never named trailofbits/deepstate. 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 trailofbits/deepstate?
    pass
    AI named trailofbits/deepstate explicitly

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

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

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

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trailofbits/deepstate — 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