RRepoGEO

REPOGEO REPORT · LITE

Bolin97/GongBU

Default branch main · commit e923e459 · scanned 5/28/2026, 4:48:32 AM

GitHub: 1,227 stars · 90 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Bolin97/GongBU, 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 to the repository

    Why:

    COPY-PASTE FIX
    llm, fine-tuning, no-code, platform, web-ui, large-language-models, domain-adaptation, machine-learning, docker-compose
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Bolin97/GongBU
  • mediumreadme#3
    Slightly rephrase the README's opening sentence for stronger keyword emphasis

    Why:

    CURRENT
    # 天功/GongBU 

🚀 GongBU is a comprehensive, all-in-one, no-code, local finetuning platform for large language models.
    COPY-PASTE FIX
    # 天功/GongBU 

🚀 GongBU is an open-source, no-code, local web platform for fine-tuning large language models.

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 Bolin97/GongBU
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. oobabooga/text-generation-webui · recommended 1×
  3. janhq/jan · recommended 1×
  4. LoRA Dreamer · recommended 1×
  5. RunPod · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune large language models locally without writing any code?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Oobabooga's Text Generation WebUI (oobabooga/text-generation-webui)
    3. Jan (janhq/jan)
    4. LoRA Dreamer
    5. RunPod
    6. Vast.ai

    AI recommended 6 alternatives but never named Bolin97/GongBU. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good platforms for fine-tuning LLMs for specific domains with a web UI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Platform
    2. Google Cloud Vertex AI
    3. Hugging Face AutoTrain Advanced (huggingface/autotrain-advanced)
    4. Weights & Biases (W&B) (wandb/wandb)
    5. RunwayML
    6. AWS SageMaker JumpStart

    AI recommended 6 alternatives but never named Bolin97/GongBU. 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 Bolin97/GongBU?
    pass
    AI did not name Bolin97/GongBU — 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 Bolin97/GongBU in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Bolin97/GongBU 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 Bolin97/GongBU solve, and who is the primary audience?
    pass
    AI did not name Bolin97/GongBU — 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?

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Bolin97/GongBU — 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