RRepoGEO

REPOGEO REPORT · LITE

google-ai-edge/litert-torch

Default branch main · commit 44b78541 · scanned 5/21/2026, 2:31:59 PM

GitHub: 1,030 stars · 160 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 google-ai-edge/litert-torch, 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
    pytorch, tflite, on-device-inference, edge-ai, mobile-ai, iot, llm-inference, model-conversion, quantization
  • highreadme#2
    Strengthen README's opening sentence for immediate value proposition

    Why:

    CURRENT
    LiteRT Torch is a python library that supports converting PyTorch models into a .tflite format, which can then be run with LiteRT. This enables applications for Android, iOS and IOT that can run models completely on-device.
    COPY-PASTE FIX
    LiteRT Torch enables efficient on-device inference for PyTorch models, converting them to .tflite for deployment on Android, iOS, and IoT devices using the LiteRT runtime.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert URL to project documentation or main website here]

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 google-ai-edge/litert-torch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorflow · recommended 2×
  2. PyTorch Mobile · recommended 1×
  3. ONNX Runtime · recommended 1×
  4. TensorFlow Lite · recommended 1×
  5. Apache TVM · recommended 1×
  • CATEGORY QUERY
    How can I deploy PyTorch models efficiently on mobile and IoT devices?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Mobile
    2. ONNX Runtime
    3. TensorFlow Lite
    4. Apache TVM
    5. Core ML
    6. NVIDIA TensorRT

    AI recommended 6 alternatives but never named google-ai-edge/litert-torch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools convert PyTorch transformer models to TFLite for on-device inference?
    you: not recommended
    AI recommended (in order):
    1. ONNX (onnx/onnx)
    2. TensorFlow Lite Converter (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Hugging Face Optimum (huggingface/optimum)
    5. Hugging Face Transformers (huggingface/transformers)
    6. ONNX Runtime (microsoft/onnxruntime)
    7. TensorFlow (tensorflow/tensorflow)

    AI recommended 7 alternatives but never named google-ai-edge/litert-torch. 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 google-ai-edge/litert-torch?
    pass
    AI named google-ai-edge/litert-torch explicitly

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

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

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

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google-ai-edge/litert-torch — 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