RRepoGEO

REPOGEO REPORT · LITE

0xSojalSec/LLMs-local

Default branch main · commit 787ecb36 · scanned 6/11/2026, 2:02:45 PM

GitHub: 635 stars · 64 forks

AI VISIBILITY SCORE
23 /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
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 0xSojalSec/LLMs-local, 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's opening to clarify project type

    Why:

    CURRENT
    list of awesome platforms, tools, and resources   run for LLMs locally
    COPY-PASTE FIX
    This is a curated awesome list of platforms, tools, and resources for running Large Language Models (LLMs) locally on your own hardware, focusing on privacy, cost savings, and offline experimentation.
  • hightopics#2
    Add relevant topics for categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    awesome-list, llm, local-llm, large-language-models, ai, machine-learning, inference, local-inference, self-hosted, privacy, open-source
  • mediumlicense#3
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    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).

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 0xSojalSec/LLMs-local
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 2×
  2. LM Studio · recommended 1×
  3. llama.cpp · recommended 1×
  4. text-generation-webui · recommended 1×
  5. LocalAI · recommended 1×
  • CATEGORY QUERY
    How can I run large language models on my own hardware without cloud dependencies?
    you: not recommended
    AI recommended (in order):
    1. Ollama

    AI recommended 1 alternative but never named 0xSojalSec/LLMs-local. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools and platforms are available for deploying LLMs locally?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. llama.cpp
    4. text-generation-webui
    5. LocalAI
    6. Jan

    AI recommended 6 alternatives but never named 0xSojalSec/LLMs-local. 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 0xSojalSec/LLMs-local?
    pass
    AI named 0xSojalSec/LLMs-local explicitly

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

  • If a team adopts 0xSojalSec/LLMs-local in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0xSojalSec/LLMs-local 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 0xSojalSec/LLMs-local solve, and who is the primary audience?
    pass
    AI did not name 0xSojalSec/LLMs-local — 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

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0xSojalSec/LLMs-local — 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