RRepoGEO

REPOGEO REPORT · LITE

PrimeIntellect-ai/prime-diloco

Default branch main · commit de5b9317 · scanned 6/5/2026, 2:26:49 AM

GitHub: 853 stars · 93 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 PrimeIntellect-ai/prime-diloco, 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 improve categorization

    Why:

    COPY-PASTE FIX
    distributed-training, fault-tolerance, deep-learning, ai-models, elastic-training, decentralized-ai, pytorch-distributed, internet-scale
  • highreadme#2
    Emphasize unique fault-tolerant, internet-scale distributed training in README intro

    Why:

    CURRENT
    prime (previously called ZeroBand) is a framework for efficient, globally distributed training of AI models over the internet.
    COPY-PASTE FIX
    prime (previously called ZeroBand) is a framework for efficient, globally distributed training of AI models over the internet, uniquely designed with an `ElasticDeviceMesh` for fault-tolerant communication and dynamic node membership across unreliable networks.
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://primeintellect.ai/prime-diloco (or relevant project/documentation URL)

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 PrimeIntellect-ai/prime-diloco
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/pytorch
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 3×
  2. microsoft/DeepSpeed · recommended 1×
  3. Azure ML · recommended 1×
  4. kubernetes/kubernetes · recommended 1×
  5. huggingface/accelerate · recommended 1×
  • CATEGORY QUERY
    How can I achieve fault-tolerant distributed training for large AI models over the internet?
    you: not recommended
    AI recommended (in order):
    1. PyTorch FSDP (pytorch/pytorch)
    2. TorchElastic (pytorch/pytorch)
    3. TorchRun (pytorch/pytorch)
    4. DeepSpeed (microsoft/DeepSpeed)
    5. Azure ML
    6. Kubernetes (kubernetes/kubernetes)
    7. Hugging Face Accelerate (huggingface/accelerate)
    8. Ray Train (ray-project/ray)
    9. TensorFlow (tensorflow/tensorflow)
    10. Kubeflow (kubeflow/kubeflow)
    11. JAX (google/jax)
    12. Flax (google/flax)
    13. Orbax (google/orbax)
    14. Google Cloud TPUs
    15. Google Cloud GPUs
    16. Amazon S3
    17. Google Cloud Storage
    18. Azure Blob Storage
    19. Google Cloud AI Platform
    20. AWS SageMaker

    AI recommended 20 alternatives but never named PrimeIntellect-ai/prime-diloco. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks handle dynamic node membership for elastic distributed deep learning training?
    you: not recommended
    AI recommended (in order):
    1. Ray
    2. Kubeflow Training Operator
    3. Horovod
    4. PyTorch Elastic
    5. TensorFlow

    AI recommended 5 alternatives but never named PrimeIntellect-ai/prime-diloco. 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 PrimeIntellect-ai/prime-diloco?
    pass
    AI named PrimeIntellect-ai/prime-diloco explicitly

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

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

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

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PrimeIntellect-ai/prime-diloco — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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