RRepoGEO

REPOGEO REPORT · LITE

FlagAI-Open/FlagAI

Default branch master · commit 83b8bea5 · scanned 5/24/2026, 2:11:47 PM

GitHub: 3,874 stars · 416 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 FlagAI-Open/FlagAI, 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
    large-scale-models, deep-learning, nlp, multimodal, pytorch, transformers, model-training, fine-tuning, distributed-training, llm, generative-ai
  • highreadme#2
    Refine the README's opening paragraph for clearer positioning

    Why:

    CURRENT
    FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
    COPY-PASTE FIX
    FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use, and extensible toolkit designed for efficient distributed training, fine-tuning, and deployment of large-scale AI models, particularly for NLP and multi-modal tasks. It streamlines complex parallel training with minimal code, supporting a wide range of models including Aquila, AltCLIP, and those from Huggingface Transformers.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://flagopen.baai.ac.cn/

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 FlagAI-Open/FlagAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch Lightning
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch Lightning · recommended 1×
  2. Hugging Face Transformers · recommended 1×
  3. DeepSpeed · recommended 1×
  4. TensorFlow · recommended 1×
  5. JAX · recommended 1×
  • CATEGORY QUERY
    What's a good toolkit for training and fine-tuning large-scale AI models efficiently?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. Hugging Face Transformers
    3. DeepSpeed
    4. TensorFlow
    5. JAX
    6. Ray Train

    AI recommended 6 alternatives but never named FlagAI-Open/FlagAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an extensible framework to deploy and fine-tune multi-modal large language models.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Accelerate (huggingface/accelerate)
    3. PyTorch Lightning (Lightning-AI/lightning)
    4. DeepSpeed (microsoft/DeepSpeed)
    5. OpenAI Triton (openai/triton)
    6. JAX (google/jax)
    7. Flax (google/flax)
    8. MMDetection (open-mmlab/mmdetection)
    9. MMAction (open-mmlab/mmaction2)
    10. MMTracking (open-mmlab/mmtracking)
    11. OpenMMLab

    AI recommended 11 alternatives but never named FlagAI-Open/FlagAI. 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 FlagAI-Open/FlagAI?
    pass
    AI named FlagAI-Open/FlagAI explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite