RRepoGEO

REPOGEO REPORT · LITE

myshell-ai/JetMoE

Default branch main · commit 0a9bc5a3 · scanned 6/12/2026, 2:03:42 AM

GitHub: 986 stars · 76 forks

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 myshell-ai/JetMoE, 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
  • hightopics#1
    Add relevant topics for discoverability

    Why:

    COPY-PASTE FIX
    llm, large-language-model, mixture-of-experts, moe, efficient-llm, low-cost-ai, ai-model, deep-learning, open-source-ai, machine-learning
  • highhomepage#2
    Add the project homepage to the repository's About section

    Why:

    COPY-PASTE FIX
    https://research.myshell.ai/jetmoe
  • mediumabout#3
    Update the repository description to clarify project type and problem solved

    Why:

    CURRENT
    Reaching LLaMA2 Performance with 0.1M Dollars
    COPY-PASTE FIX
    JetMoE is an open-source Mixture-of-Experts (MoE) Large Language Model (LLM) designed for cost-effective training and efficient inference, achieving LLaMA2 performance with significantly lower resources.

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 myshell-ai/JetMoE
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mistral 7B
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mistral 7B · recommended 1×
  2. Mixtral 8x7B · recommended 1×
  3. Llama 2 · recommended 1×
  4. Gemma · recommended 1×
  5. TinyLlama 1.1B · recommended 1×
  • CATEGORY QUERY
    What are good open-source large language models for low-cost inference and training?
    you: not recommended
    AI recommended (in order):
    1. Mistral 7B
    2. Mixtral 8x7B
    3. Llama 2
    4. Gemma
    5. TinyLlama 1.1B
    6. Phi-2

    AI recommended 6 alternatives but never named myshell-ai/JetMoE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking efficient LLM alternatives to train or fine-tune on consumer GPUs with strong performance.
    you: not recommended
    AI recommended (in order):
    1. Llama.cpp (ggerganov/llama.cpp)
    2. Axolotl
    3. Hugging Face Transformers with PEFT
    4. Lit-GPT
    5. Unsloth
    6. Ollama

    AI recommended 6 alternatives but never named myshell-ai/JetMoE. 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 myshell-ai/JetMoE?
    pass
    AI named myshell-ai/JetMoE explicitly

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

  • If a team adopts myshell-ai/JetMoE in production, what risks or prerequisites should they evaluate first?
    pass
    AI named myshell-ai/JetMoE 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 myshell-ai/JetMoE solve, and who is the primary audience?
    pass
    AI named myshell-ai/JetMoE 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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myshell-ai/JetMoE — 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