RRepoGEO

REPOGEO REPORT · LITE

ggml-org/LlamaBarn

Default branch main · commit 19bbb7a8 · scanned 6/20/2026, 5:51:46 AM

GitHub: 1,331 stars · 76 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
35 /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
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 ggml-org/LlamaBarn, 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 the relationship between 'LlamaBarn' (repo) and 'Llama' (app) in the README

    Why:

    CURRENT
    # Llama
    COPY-PASTE FIX
    # LlamaBarn: The repository for Llama, a macOS menu bar app for running local LLMs.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://llama.app
  • mediumreadme#3
    Explicitly state OpenAI API compatibility for development environments

    Why:

    CURRENT
    Llama works with any OpenAI-compatible client.
    COPY-PASTE FIX
    Llama works with any OpenAI-compatible client, making it easy to integrate local LLMs with existing OpenAI-compatible development environments and tools.

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 ggml-org/LlamaBarn
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 2×
  3. LocalAI · recommended 2×
  4. Jan · recommended 1×
  5. GPT4All · recommended 1×
  • CATEGORY QUERY
    How can I easily run large language models locally on my macOS machine?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. Jan
    4. GPT4All
    5. LocalAI
    6. MLC LLM

    AI recommended 6 alternatives but never named ggml-org/LlamaBarn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow integrating local LLMs with existing OpenAI-compatible development environments?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. vLLM
    5. text-generation-webui (Oobabooga)
    6. LiteLLM

    AI recommended 6 alternatives but never named ggml-org/LlamaBarn. 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 ggml-org/LlamaBarn?
    pass
    AI named ggml-org/LlamaBarn explicitly

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

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

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

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ggml-org/LlamaBarn — 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