RRepoGEO

REPOGEO REPORT · LITE

pytorch/translate

Default branch master · commit b89dc35a · scanned 6/2/2026, 8:28:16 AM

GitHub: 841 stars · 194 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/translate, 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
  • highabout#1
    Update the repository description to highlight its historical role and unique features

    Why:

    CURRENT
    Translate - a PyTorch Language Library
    COPY-PASTE FIX
    Historical PyTorch library for sequence-to-sequence machine translation, notable for ONNX export and C++ inference. Now deprecated; use Fairseq.
  • mediumhomepage#2
    Add a homepage URL pointing to the successor project

    Why:

    COPY-PASTE FIX
    https://github.com/facebookresearch/fairseq
  • lowtopics#3
    Refine repository topics for better specificity and context

    Why:

    CURRENT
    artificial-intelligence, machine-learning, onnx, pytorch
    COPY-PASTE FIX
    pytorch, onnx, machine-translation, sequence-to-sequence, nlp, deprecated

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/translate
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. Fairseq · recommended 1×
  3. OpenNMT-py · recommended 1×
  4. TorchText · recommended 1×
  5. ESPnet · recommended 1×
  • CATEGORY QUERY
    What are good PyTorch libraries for building custom machine translation models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Fairseq
    3. OpenNMT-py
    4. TorchText
    5. ESPnet

    AI recommended 5 alternatives but never named pytorch/translate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I deploy PyTorch sequence-to-sequence models for C++ inference in production?
    you: not recommended
    AI recommended (in order):
    1. LibTorch (pytorch/pytorch)
    2. ONNX Runtime (microsoft/onnxruntime)
    3. TensorRT
    4. OpenVINO Toolkit (openvinotoolkit/openvino)
    5. Apache TVM (apache/tvm)
    6. MNN (alibaba/MNN)

    AI recommended 6 alternatives but never named pytorch/translate. 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/translate?
    pass
    AI named pytorch/translate 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/translate in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pytorch/translate 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/translate solve, and who is the primary audience?
    pass
    AI named pytorch/translate 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/translate — 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