RRepoGEO

REPOGEO REPORT · LITE

techjarves/USB-Uncensored-LLM

Default branch main · commit b1d4e05b · scanned 6/22/2026, 12:03:46 AM

GitHub: 1,657 stars · 364 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 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 "zero-install, portable USB/SSD LLM environment"

    Why:

    CURRENT
    # USB-Uncensored-LLM ⚡
    
    **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 ⚡
    
    **USB-Uncensored-LLM** is the ultimate zero-install, portable local AI environment, designed to run high-quality, uncensored LLMs directly from any USB drive or SSD. It's a fully air-gapped, cross-platform (Win/Mac/Linux), and privacy-first solution with persistent chat history.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.
  • mediumtopics#3
    Expand repository topics for better category visibility

    Why:

    CURRENT
    local-llm, portable-ai, uncensored-ai
    COPY-PASTE FIX
    local-llm, portable-ai, uncensored-ai, zero-install, offline-llm, cross-platform, air-gapped, llm-environment, usb-bootable

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 · recommended 1×
  3. Jan · recommended 1×
  4. oobabooga/text-generation-webui · recommended 1×
  5. llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run large language models offline directly from a USB drive?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. text-generation-webui (oobabooga/text-generation-webui)
    5. llama.cpp
    6. LoLLMS Web UI

    AI recommended 6 alternatives but never named techjarves/USB-Uncensored-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the easiest way to get an uncensored, cross-platform local LLM environment?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. Pinokio (pinokio-ai/pinokio)
    5. GPT4All (nomic-ai/gpt4all)
    6. KoboldCpp (LostRuins/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 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?

Embed your GEO score

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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