RRepoGEO

REPOGEO REPORT · LITE

flagos-ai/FlagGems

Default branch master · commit 558f0cae · scanned 5/27/2026, 5:51:44 PM

GitHub: 1,006 stars · 385 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 flagos-ai/FlagGems, 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 direct, concise purpose statement to the top of the README

    Why:

    COPY-PASTE FIX
    FlagGems is a high-performance, backend-neutral operator library implemented in Triton, designed to accelerate LLM training and inference across diverse hardware platforms.
  • mediumtopics#2
    Expand repository topics to include LLM and acceleration keywords

    Why:

    CURRENT
    pytorch, triton, triton-kernels
    COPY-PASTE FIX
    pytorch, triton, triton-kernels, llm, large-language-models, ai-acceleration, deep-learning-inference, deep-learning-training
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://flagos.io/

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 flagos-ai/FlagGems
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Triton
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Triton · recommended 1×
  2. Dao-AILab/flash-attention · recommended 1×
  3. facebookresearch/xformers · recommended 1×
  4. google/triton-mlir · recommended 1×
  5. microsoft/DeepSpeed · recommended 1×
  • CATEGORY QUERY
    What are the best high-performance LLM operator libraries implemented using Triton kernels?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Triton
    2. FlashAttention (Dao-AILab/flash-attention)
    3. xFormers (facebookresearch/xformers)
    4. Triton-MLIR (google/triton-mlir)
    5. DeepSpeed (microsoft/DeepSpeed)
    6. vLLM (vllm-project/vllm)

    AI recommended 6 alternatives but never named flagos-ai/FlagGems. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to accelerate large language model inference and training across various AI hardware platforms?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT
    2. DeepSpeed
    3. PyTorch FSDP
    4. OpenVINO
    5. ONNX Runtime
    6. XLA
    7. JAX
    8. Hugging Face Accelerate

    AI recommended 8 alternatives but never named flagos-ai/FlagGems. 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 flagos-ai/FlagGems?
    pass
    AI named flagos-ai/FlagGems explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite