RRepoGEO

REPOGEO REPORT · LITE

pytorch/tensordict

Default branch main · commit 89651371 · scanned 5/15/2026, 2:13:07 AM

GitHub: 1,026 stars · 114 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 pytorch/tensordict, 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
    Reposition README's opening sentence to clarify its unique role

    Why:

    CURRENT
    TensorDict is a dictionary-like class that inherits properties from tensors, such as indexing, shape operations, casting to device or storage and many more.
    COPY-PASTE FIX
    TensorDict is a specialized, dictionary-like container for PyTorch tensors that behaves like a single tensor, enabling unified indexing, batch operations, and device management for structured machine learning data.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    pytorch, tensor, machine-learning, reinforcement-learning, data-structure, container, deep-learning, ml-framework
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://docs.pytorch.org/tensordict/stable/

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 pytorch/tensordict
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 2×
  2. torch.nn.ModuleDict · recommended 1×
  3. torch.nn.ParameterDict · recommended 1×
  4. torch.nn.Module · recommended 1×
  5. Python dict · recommended 1×
  • CATEGORY QUERY
    How to group multiple PyTorch tensors for unified indexing and device management?
    you: not recommended
    AI recommended (in order):
    1. torch.nn.ModuleDict
    2. torch.nn.ParameterDict
    3. torch.nn.Module
    4. Python dict
    5. Python list
    6. Python tuple
    7. torch.cat()
    8. torch.stack()

    AI recommended 8 alternatives but never named pytorch/tensordict. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a structured container for PyTorch tensors that supports batch operations and slicing.
    you: not recommended
    AI recommended (in order):
    1. xarray (pydata/xarray)
    2. Pandas (pandas-dev/pandas)
    3. PyTorch's `torch.Tensor` (pytorch/pytorch)
    4. Named Tensors (pytorch/pytorch)
    5. einops (arogozhnikov/einops)

    AI recommended 5 alternatives but never named pytorch/tensordict. 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 pytorch/tensordict?
    pass
    AI named pytorch/tensordict explicitly

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

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

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

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pytorch/tensordict — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite