RRepoGEO

REPOGEO REPORT · LITE

google/oss-fuzz-gen

Default branch main · commit c0982c5d · scanned 6/23/2026, 12:18:40 PM

GitHub: 1,411 stars · 221 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 google/oss-fuzz-gen, 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 H1 and opening paragraph to emphasize LLM-powered fuzz target generation

    Why:

    CURRENT
    # A Framework for Fuzz Target Generation and Evaluation

This framework generates fuzz targets for real-world `C`/`C++/Java/Python` projects with
various Large Language Models (LLM) and benchmarks them via the
`OSS-Fuzz` platform.
    COPY-PASTE FIX
    # LLM-Powered Fuzz Target Generation and Evaluation Framework

This framework leverages Large Language Models (LLM) to automatically generate and evaluate fuzz targets for `C`/`C++/Java/Python` projects, integrating seamlessly with the `OSS-Fuzz` platform for robust security testing.
  • mediumtopics#2
    Expand topics to include more specific LLM/AI security terms

    Why:

    CURRENT
    ai, fuzzing, llm, security
    COPY-PASTE FIX
    ai, fuzzing, llm, security, generative-ai, software-security, vulnerability-detection, fuzz-target-generation, oss-fuzz
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.dev

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 google/oss-fuzz-gen
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CodeQL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CodeQL · recommended 2×
  2. AFL++ · recommended 1×
  3. Python · recommended 1×
  4. TensorFlow · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    How to automatically generate effective fuzzing targets for C/C++ code using AI?
    you: not recommended
    AI recommended (in order):
    1. AFL++
    2. Python
    3. TensorFlow
    4. PyTorch
    5. scikit-learn
    6. LibFuzzer
    7. FuzzGen
    8. NAUTILUS
    9. DeepFuzz
    10. CodeQL
    11. KLEE
    12. Angr

    AI recommended 12 alternatives but never named google/oss-fuzz-gen. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use large language models to improve software security through fuzzing?
    you: not recommended
    AI recommended (in order):
    1. FuzzGPT
    2. CodeQL
    3. Mayhem
    4. AFL++ (AFLplusplus/AFLplusplus)
    5. Project Zero

    AI recommended 5 alternatives but never named google/oss-fuzz-gen. 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 google/oss-fuzz-gen?
    pass
    AI did not name google/oss-fuzz-gen — 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 google/oss-fuzz-gen in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/oss-fuzz-gen 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 google/oss-fuzz-gen solve, and who is the primary audience?
    pass
    AI named google/oss-fuzz-gen 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 google/oss-fuzz-gen. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/google/oss-fuzz-gen.svg)](https://repogeo.com/en/r/google/oss-fuzz-gen)
HTML
<a href="https://repogeo.com/en/r/google/oss-fuzz-gen"><img src="https://repogeo.com/badge/google/oss-fuzz-gen.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

google/oss-fuzz-gen — 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