RRepoGEO

REPOGEO REPORT · LITE

techjarves/USB-Uncensored-LLM

Default branch main · commit 5266087b · scanned 5/22/2026, 11:58:05 PM

GitHub: 1,286 stars · 272 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
22 /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
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 techjarves/USB-Uncensored-LLM, 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 README opening to emphasize unique value proposition

    Why:

    CURRENT
    USB-Uncensored-LLM is a fully air-gapped, zero-dependency, plug-and-play Local AI environment designed to run seamlessly from your local hard drive or a portable USB/SSD.
    COPY-PASTE FIX
    USB-Uncensored-LLM is the ultimate zero-install, portable, and fully air-gapped local AI environment, enabling you to run high-quality, uncensored LLMs (like Gemma, Qwen, NemoMix) directly from any USB drive or SSD across Windows, macOS, and Linux.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.
  • mediumhomepage#3
    Add the YouTube demo link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://youtu.be/60PSXsoXc8A

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 techjarves/USB-Uncensored-LLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. ollama/ollama · recommended 1×
  3. janhq/jan · recommended 1×
  4. LostRuins/koboldcpp · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run large language models directly from a USB drive without installation?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. KoboldCpp (LostRuins/koboldcpp)
    5. llama.cpp (ggerganov/llama.cpp)

    AI recommended 5 alternatives but never named techjarves/USB-Uncensored-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a privacy-focused, uncensored LLM environment that works offline across operating systems.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LocalAI
    4. Jan
    5. GPT4All
    6. KoboldCpp

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