RRepoGEO

REPOGEO REPORT · LITE

mindspore-ai/mindspore

Default branch master · commit bd3c5dd1 · scanned 5/14/2026, 12:21:46 AM

GitHub: 4,690 stars · 755 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 mindspore-ai/mindspore, 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
    Reposition the README's opening sentence to highlight core differentiators

    Why:

    CURRENT
    MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
    COPY-PASTE FIX
    MindSpore is an open-source deep learning training and inference framework optimized for all-scenario AI (mobile, edge, and cloud), featuring native support and co-optimization for Ascend AI processors.
  • mediumreadme#2
    Add a 'Why Choose MindSpore?' or comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, for example, '## Why Choose MindSpore?' or '## MindSpore vs. Other Frameworks', detailing its unique advantages, particularly its deep integration with Ascend AI processors and all-scenario deployment capabilities, compared to other popular deep learning frameworks.

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 mindspore-ai/mindspore
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. PyTorch · recommended 2×
  3. TensorFlow Lite · recommended 1×
  4. TensorFlow Extended (TFX) · recommended 1×
  5. TorchScript · recommended 1×
  • CATEGORY QUERY
    What deep learning framework offers unified training and inference across cloud, edge, and mobile?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. TensorFlow Lite
    3. TensorFlow Extended (TFX)
    4. PyTorch
    5. TorchScript
    6. PyTorch Mobile
    7. ONNX Runtime
    8. Apache MXNet
    9. Keras

    AI recommended 9 alternatives but never named mindspore-ai/mindspore. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open source framework for deep learning with automatic differentiation and parallel training.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. JAX
    4. Flax
    5. Haiku
    6. MXNet
    7. PaddlePaddle

    AI recommended 7 alternatives but never named mindspore-ai/mindspore. 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 mindspore-ai/mindspore?
    pass
    AI named mindspore-ai/mindspore explicitly

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

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

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

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