RRepoGEO

REPOGEO REPORT · LITE

caomaolufei/AIInfraGuide

Default branch main · commit 63c2991e · scanned 6/14/2026, 9:47:50 AM

GitHub: 882 stars · 59 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 caomaolufei/AIInfraGuide, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-infrastructure, llm-inference, distributed-training, cuda-programming, machine-learning-engineering, deep-learning-guide, knowledge-base, learning-path, interview-preparation
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a suitable open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://caomaolufei.github.io/AIInfraGuide/

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 caomaolufei/AIInfraGuide
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud AI Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud AI Platform · recommended 1×
  2. Vertex AI · recommended 1×
  3. Kubeflow on Google Cloud · recommended 1×
  4. tensorflow/tfx · recommended 1×
  5. AWS Machine Learning · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive guide for learning AI infrastructure from scratch?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. Vertex AI
    3. Kubeflow on Google Cloud
    4. TensorFlow Extended (TFX) (tensorflow/tfx)
    5. AWS Machine Learning
    6. Amazon S3
    7. AWS Glue
    8. Amazon SageMaker
    9. Amazon SageMaker Endpoints
    10. AWS Lambda
    11. Microsoft Azure AI
    12. Azure Machine Learning
    13. Azure Databricks
    14. Azure Kubernetes Service (AKS)
    15. Kubeflow (kubeflow/kubeflow)

    AI recommended 15 alternatives but never named caomaolufei/AIInfraGuide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to learn CUDA programming, distributed training, and LLM inference optimization?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA CUDA Toolkit
    2. CUDA by Example
    3. Udemy
    4. Coursera
    5. NVIDIA DLI
    6. PyTorch Distributed (pytorch/pytorch)
    7. Hugging Face Accelerate (huggingface/accelerate)
    8. DeepSpeed (microsoft/DeepSpeed)
    9. Horovod (horovod/horovod)
    10. TensorFlow Distributed Strategy API (tensorflow/tensorflow)
    11. Hugging Face Transformers (huggingface/transformers)
    12. Hugging Face Optimum (huggingface/optimum)
    13. NVIDIA TensorRT-LLM (NVIDIA/TensorRT-LLM)
    14. vLLM (vllm-project/vllm)
    15. llama.cpp (ggerganov/llama.cpp)
    16. OpenVINO (openvinotoolkit/openvino)
    17. ONNX Runtime (microsoft/onnxruntime)

    AI recommended 17 alternatives but never named caomaolufei/AIInfraGuide. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 caomaolufei/AIInfraGuide?
    pass
    AI did not name caomaolufei/AIInfraGuide — 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 caomaolufei/AIInfraGuide in production, what risks or prerequisites should they evaluate first?
    pass
    AI named caomaolufei/AIInfraGuide 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 caomaolufei/AIInfraGuide solve, and who is the primary audience?
    pass
    AI named caomaolufei/AIInfraGuide explicitly

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

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caomaolufei/AIInfraGuide — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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