RRepoGEO

REPOGEO REPORT · LITE

chawins/llm-sp

Default branch main · commit e483c131 · scanned 6/10/2026, 3:43:12 PM

GitHub: 579 stars · 44 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 chawins/llm-sp, 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 and reinforce the README's core identity statement

    Why:

    CURRENT
    # LLM Security & Privacy
**What?Papers and resources related to the security and privacy of LLMs.
    COPY-PASTE FIX
    # LLM Security & Privacy

**A curated, comprehensive awesome list of papers and resources focused on the security and privacy of Large Language Models (LLMs).**
  • mediumreadme#2
    Add a 'Who is this for?' section to clarify audience and use case

    Why:

    COPY-PASTE FIX
    ## Who is this for?

This repository is designed for researchers, students, and practitioners interested in the security and privacy aspects of Large Language Models. It serves as a quick reference and an organized collection of key papers, datasets, and frameworks in this rapidly evolving field.
  • mediumreadme#3
    Clarify the relationship between GitHub and Notion versions

    Why:

    CURRENT
    Where?GitHub and Notion. Notion is more up-to-date; I periodically transfer the updates to GitHub.
    COPY-PASTE FIX
    Where?This GitHub repository serves as the primary public collection. A Notion workspace is used for active curation and is periodically synced here to ensure the GitHub version remains a comprehensive and up-to-date resource.

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 chawins/llm-sp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OWASP Top 10 for Large Language Model Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP Top 10 for Large Language Model Applications · recommended 1×
  2. MITRE ATLAS · recommended 1×
  3. Hugging Face · recommended 1×
  4. Google · recommended 1×
  5. Microsoft · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of resources on large language model security vulnerabilities?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for Large Language Model Applications
    2. MITRE ATLAS
    3. Hugging Face
    4. Google
    5. Microsoft
    6. arXiv.org
    7. The AI Incident Database (responsible-ai-institute/aiid)

    AI recommended 7 alternatives but never named chawins/llm-sp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the key research papers discussing privacy issues in large language models?
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 chawins/llm-sp?
    pass
    AI named chawins/llm-sp explicitly

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

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

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

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chawins/llm-sp — 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