RRepoGEO

REPOGEO REPORT · LITE

SCIR-TG/FengZhengLLM

Default branch main · commit 5c561322 · scanned 6/3/2026, 3:38:07 AM

GitHub: 517 stars · 1 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 SCIR-TG/FengZhengLLM, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    FengZhengLLM: A specialized Chinese Large Language Model for aerospace knowledge, developed by HIT-SCIR-TG.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["llm", "large-language-model", "aerospace", "astronautics", "space-science", "chinese-llm", "knowledge-base", "question-answering", "hit-scir"]
  • mediumhomepage#3
    Add the online experience link as the repository homepage

    Why:

    COPY-PASTE FIX
    Add the '模型在线体验链接' (Model online experience link) mentioned in the README to the repository's homepage field.

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 SCIR-TG/FengZhengLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mistral 7B · recommended 1×
  3. Mixtral 8x7B · recommended 1×
  4. Gemma · recommended 1×
  5. Falcon · recommended 1×
  • CATEGORY QUERY
    What open-source large language models are available for deep space exploration knowledge?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B
    3. Mixtral 8x7B
    4. Gemma
    5. Falcon
    6. MPT-7B
    7. MPT-30B

    AI recommended 7 alternatives but never named SCIR-TG/FengZhengLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I develop an AI-powered question answering system focused on astronautics and space science?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Elasticsearch
    3. FAISS
    4. SpaCy
    5. Streamlit
    6. Scikit-learn
    7. PyTorch

    AI recommended 7 alternatives but never named SCIR-TG/FengZhengLLM. 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 SCIR-TG/FengZhengLLM?
    pass
    AI did not name SCIR-TG/FengZhengLLM — 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 SCIR-TG/FengZhengLLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SCIR-TG/FengZhengLLM 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 SCIR-TG/FengZhengLLM solve, and who is the primary audience?
    pass
    AI named SCIR-TG/FengZhengLLM 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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SCIR-TG/FengZhengLLM — 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