RRepoGEO

REPOGEO REPORT · LITE

LianjiaTech/BELLE

Default branch main · commit 645084d3 · scanned 5/17/2026, 9:26:51 AM

GitHub: 8,281 stars · 766 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
28 /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
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 LianjiaTech/BELLE, 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 the README H1 to specify category and scope

    Why:

    CURRENT
    ## BELLE: Be Everyone's Large Language model Engine
    COPY-PASTE FIX
    ## BELLE: An Open-Source Family of Chinese Conversational Large Language Models and Instruction-Tuning Resources
  • mediumtopics#2
    Add more specific topics for Chinese LLMs and conversational AI

    Why:

    CURRENT
    bloom, chinese-nlp, gpt-evaluation, gpt-q, instruct-finetune, instruct-gpt, instruction-set, llama, lora, open-models
    COPY-PASTE FIX
    bloom, chinese-nlp, chinese-llm, conversational-ai, gpt-evaluation, gpt-q, instruct-finetune, instruct-gpt, instruction-set, instruction-tuning-data, llama, lora, open-models, speech-recognition
  • lowhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/BelleGroup

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 LianjiaTech/BELLE
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. Hugging Face Datasets · recommended 2×
  3. Baichuan 2 · recommended 1×
  4. Qwen · recommended 1×
  5. ChatGLM3 · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune an open-source large language model for Chinese conversational tasks?
    you: not recommended
    AI recommended (in order):
    1. Baichuan 2
    2. Qwen
    3. ChatGLM3
    4. Llama 2
    5. Mistral 7B Instruct
    6. Yi
    7. Hugging Face Transformers
    8. PEFT
    9. LoRA
    10. QLoRA
    11. Hugging Face Datasets

    AI recommended 11 alternatives but never named LianjiaTech/BELLE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to develop a custom instruction-following large language model specifically for Chinese.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets
    3. PaddlePaddle
    4. PaddleNLP
    5. OpenAI API
    6. Alibaba Cloud
    7. Tencent AI Lab
    8. Stanford Alpaca
    9. Vicuna
    10. FastChat

    AI recommended 10 alternatives but never named LianjiaTech/BELLE. 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 LianjiaTech/BELLE?
    pass
    AI did not name LianjiaTech/BELLE — 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 LianjiaTech/BELLE in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LianjiaTech/BELLE 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 LianjiaTech/BELLE solve, and who is the primary audience?
    pass
    AI named LianjiaTech/BELLE explicitly

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

Embed your GEO score

Drop this badge into the README of LianjiaTech/BELLE. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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LianjiaTech/BELLE — 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
LianjiaTech/BELLE — RepoGEO report