RRepoGEO

REPOGEO REPORT · LITE

jthack/ffufai

Default branch main · commit 2ef1ae59 · scanned 6/16/2026, 1:03:00 AM

GitHub: 784 stars · 92 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 jthack/ffufai, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    fuzzing, web-fuzzing, ffuf, ai, artificial-intelligence, security, penetration-testing, bug-bounty, web-security, python
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License.
  • mediumreadme#3
    Refine the README's opening sentence for clearer positioning

    Why:

    CURRENT
    ffufai is an AI-powered wrapper for the popular web fuzzer ffuf. It automatically suggests file extensions for fuzzing based on the target URL and its headers, using either OpenAI's GPT or Anthropic's Claude AI models.
    COPY-PASTE FIX
    ffufai is an AI-powered security tool that wraps the popular web fuzzer ffuf, designed for penetration testers and bug bounty hunters. It automatically suggests relevant file extensions for web fuzzing based on the target URL and its headers, leveraging OpenAI's GPT or Anthropic's Claude AI models to enhance discovery and reduce noise.

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 jthack/ffufai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scikit-learn/scikit-learn
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. scikit-learn/scikit-learn · recommended 1×
  2. tensorflow/tensorflow · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. Word2Vec · recommended 1×
  5. facebookresearch/fastText · recommended 1×
  • CATEGORY QUERY
    How can I use AI to intelligently suggest file extensions for web fuzzing?
    you: not recommended
    AI recommended (in order):
    1. scikit-learn (scikit-learn/scikit-learn)
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Word2Vec
    5. FastText (facebookresearch/fastText)
    6. Hugging Face Transformers (huggingface/transformers)
    7. BERT
    8. RoBERTa
    9. T5
    10. Google Cloud AutoML Tables
    11. Vertex AI Tabular Workflows
    12. Azure Machine Learning Studio
    13. Amazon SageMaker Autopilot

    AI recommended 13 alternatives but never named jthack/ffufai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool helps automate web path discovery by suggesting relevant file extensions?
    you: not recommended
    AI recommended (in order):
    1. DirBuster
    2. Gobuster
    3. ffuf
    4. wfuzz
    5. Nikto
    6. OWASP ZAP (Zed Attack Proxy)
    7. Burp Suite (Intruder)

    AI recommended 7 alternatives but never named jthack/ffufai. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 jthack/ffufai?
    pass
    AI named jthack/ffufai explicitly

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

  • If a team adopts jthack/ffufai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jthack/ffufai 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 jthack/ffufai solve, and who is the primary audience?
    pass
    AI named jthack/ffufai 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 jthack/ffufai. 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/jthack/ffufai.svg)](https://repogeo.com/en/r/jthack/ffufai)
HTML
<a href="https://repogeo.com/en/r/jthack/ffufai"><img src="https://repogeo.com/badge/jthack/ffufai.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

jthack/ffufai — 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