RRepoGEO

REPOGEO REPORT · LITE

zeroc00I/DontFeedTheAI

Default branch main · commit 6f79ffed · scanned 5/11/2026, 7:17:40 PM

GitHub: 538 stars · 61 forks

AI VISIBILITY SCORE
17 /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
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 zeroc00I/DontFeedTheAI, 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
    Clarify core functionality and target audience in README's opening

    Why:

    CURRENT
    A transparent proxy that strips IPs, credentials, hostnames, and PII from every request before it reaches the AI — and restores them on the way back.
    COPY-PASTE FIX
    DontFeedTheAI is a transparent reverse proxy specifically designed for pentesters and security teams to anonymize sensitive data (IPs, credentials, hostnames, PII) before it reaches AI APIs like Anthropic, and restores it on the way back.
  • hightopics#2
    Add descriptive topics to improve categorization

    Why:

    COPY-PASTE FIX
    reverse-proxy, pentest, anonymization, llm, ollama, anthropic, security, privacy, data-masking, red-team
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals.

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 zeroc00I/DontFeedTheAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 2 · recommended 1×
  2. Falcon · recommended 1×
  3. Mistral · recommended 1×
  4. Azure OpenAI Service · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How can I prevent sensitive pentest data from being exposed to large language models?
    you: not recommended
    AI recommended (in order):
    1. Llama 2
    2. Falcon
    3. Mistral
    4. Azure OpenAI Service
    5. Google Cloud Vertex AI
    6. Hugging Face Inference Endpoints
    7. AWS SageMaker
    8. Microsoft Presidio (microsoft/presidio)
    9. NLTK (nltk/nltk)

    AI recommended 9 alternatives but never named zeroc00I/DontFeedTheAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a local solution to anonymize PII and credentials before sending to AI APIs.
    you: not recommended
    AI recommended (in order):
    1. Presidio
    2. Faker
    3. NLTK
    4. SpaCy
    5. Google Cloud DLP API client library
    6. AWS Macie client library

    AI recommended 6 alternatives but never named zeroc00I/DontFeedTheAI. 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 zeroc00I/DontFeedTheAI?
    pass
    AI did not name zeroc00I/DontFeedTheAI — 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 zeroc00I/DontFeedTheAI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zeroc00I/DontFeedTheAI 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 zeroc00I/DontFeedTheAI solve, and who is the primary audience?
    pass
    AI did not name zeroc00I/DontFeedTheAI — 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?

Embed your GEO score

Drop this badge into the README of zeroc00I/DontFeedTheAI. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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zeroc00I/DontFeedTheAI — 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