RRepoGEO

REPOGEO REPORT · LITE

dandelionsllm/pandallm

Default branch main · commit 4a47ecd4 · scanned 6/26/2026, 8:07:50 PM

GitHub: 1,033 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)

3 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 dandelionsllm/pandallm, 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
    Add a clarifying sentence to the README's introduction

    Why:

    COPY-PASTE FIX
    PandaLLM is an open-source project dedicated to Chinese Large Language Models (LLMs) and their full technology stack. Please note: PandaLLM is not related to the Python Pandas data analysis library. (Add this sentence immediately after the main H1 title in the README.)
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    chinese-llm, large-language-models, nlp, llm-training, llm-inference, llm-deployment, open-source-llm, chinese-nlp, llmops, llama
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    http://pandallm.ai/

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 dandelionsllm/pandallm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Baichuan 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Baichuan 2 · recommended 1×
  2. Qwen (Tongyi Qianwen) · recommended 1×
  3. ChatGLM (Zhipu AI) · recommended 1×
  4. InternLM (Shanghai AI Lab) · recommended 1×
  5. Pangu-Σ (Huawei Cloud) · recommended 1×
  • CATEGORY QUERY
    Where can I find open-source large language models specifically pre-trained for Chinese NLP tasks?
    you: not recommended
    AI recommended (in order):
    1. Baichuan 2
    2. Qwen (Tongyi Qianwen)
    3. ChatGLM (Zhipu AI)
    4. InternLM (Shanghai AI Lab)
    5. Pangu-Σ (Huawei Cloud)
    6. CPM-Bee (Beijing Academy of Artificial Intelligence - BAAI)
    7. MOSS (Fudan University)

    AI recommended 7 alternatives but never named dandelionsllm/pandallm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help with training, fine-tuning, and deploying Chinese large language models efficiently?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Accelerate
    3. DeepSpeed
    4. Megatron-LM
    5. OpenMMLab
    6. MMPreTrain
    7. MMDeploy
    8. PaddlePaddle
    9. ERNIE
    10. PaddleNLP
    11. PaddleServing
    12. PyTorch Lightning
    13. Triton Inference Server

    AI recommended 13 alternatives but never named dandelionsllm/pandallm. 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 dandelionsllm/pandallm?
    pass
    AI named dandelionsllm/pandallm explicitly

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

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

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

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dandelionsllm/pandallm — 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