RRepoGEO

REPOGEO REPORT · LITE

csuhan/OneLLM

Default branch main · commit 8587a476 · scanned 6/11/2026, 10:03:49 AM

GitHub: 667 stars · 37 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 csuhan/OneLLM, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Enhance the README's introductory paragraph

    Why:

    CURRENT
    The README immediately jumps to links and news after the title.
    COPY-PASTE FIX
    OneLLM is a pioneering framework designed to seamlessly align diverse data modalities—including visual, audio, and 3D point clouds—with large language models. It offers a unified solution for researchers and developers seeking to build advanced multimodal AI applications, as presented at CVPR 2024.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [SPECIFY LICENSE(S) HERE, e.g., MIT License, Apache 2.0, or a custom license]. Please refer to the LICENSE file for full details.

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 csuhan/OneLLM
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. OpenAI CLIP · recommended 2×
  3. PyTorch Lightning · recommended 1×
  4. TensorFlow / Keras · recommended 1×
  5. Meta AI's ImageBind · recommended 1×
  • CATEGORY QUERY
    Seeking a unified AI framework to align diverse data modalities with language models effectively.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. TensorFlow / Keras
    4. OpenAI CLIP
    5. Meta AI's ImageBind

    AI recommended 5 alternatives but never named csuhan/OneLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate visual, audio, and 3D point cloud data with large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Diffusers
    3. PEFT
    4. LoRA
    5. OpenAI CLIP
    6. DALL-E 2/3
    7. PyTorch Geometric (PyG)
    8. Open3D
    9. Google MediaPipe
    10. TensorFlow Hub
    11. Microsoft Azure AI Services
    12. Google Cloud AI Platform
    13. AWS AI Services
    14. LangChain
    15. LlamaIndex

    AI recommended 15 alternatives but never named csuhan/OneLLM. 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 csuhan/OneLLM?
    pass
    AI named csuhan/OneLLM explicitly

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

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

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

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csuhan/OneLLM — 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