RRepoGEO

REPOGEO REPORT · LITE

software-mansion/react-native-executorch

Default branch main · commit 578f9832 · scanned 5/25/2026, 11:16:59 PM

GitHub: 1,523 stars · 78 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 software-mansion/react-native-executorch, 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 the README's opening statement to clarify unique value

    Why:

    CURRENT
    React Native ExecuTorch
    COPY-PASTE FIX
    React Native ExecuTorch provides a declarative, on-device solution for integrating and running PyTorch AI models directly within your React Native applications, powered by ExecuTorch.
  • mediumlicense#2
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Your specific license name(s) here]. See the [LICENSE](LICENSE) file for details.
  • mediumtopics#3
    Add 'pytorch' to the repository topics

    Why:

    CURRENT
    computer-vision, executorch, image-embeddings, llm-inference, object-detection, ocr, on-device-ai, react-native-ai, segmentation, speech-to-text, text-embeddings, text-to-speech, vlm
    COPY-PASTE FIX
    computer-vision, executorch, image-embeddings, llm-inference, object-detection, ocr, on-device-ai, react-native-ai, segmentation, speech-to-text, text-embeddings, text-to-speech, vlm, pytorch

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 software-mansion/react-native-executorch
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow.js
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow.js · recommended 2×
  2. tensorflow/tfjs-react-native · recommended 1×
  3. React Native ML Kit · recommended 1×
  4. ML Kit · recommended 1×
  5. react-native-mlkit/react-native-mlkit · recommended 1×
  • CATEGORY QUERY
    How can I integrate on-device AI models into a React Native mobile application?
    you: not recommended
    AI recommended (in order):
    1. React Native TensorFlow.js (tensorflow/tfjs-react-native)
    2. TensorFlow.js
    3. React Native ML Kit
    4. ML Kit
    5. react-native-mlkit (react-native-mlkit/react-native-mlkit)
    6. react-native-firebase/ml (invertase/react-native-firebase)
    7. React Native VisionCamera (mrousavy/react-native-vision-camera)
    8. VisionCamera
    9. TensorFlow Lite
    10. Core ML
    11. React Native Core ML
    12. ONNX Runtime React Native
    13. ONNX
    14. ONNX Runtime
    15. react-native-onnxruntime (microsoft/react-native-onnxruntime)

    AI recommended 15 alternatives but never named software-mansion/react-native-executorch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a declarative solution for integrating various AI models into a React Native application.
    you: not recommended
    AI recommended (in order):
    1. React Native AI Kit
    2. AWS Amplify
    3. Firebase ML Kit
    4. TensorFlow.js
    5. OpenAI API
    6. Hugging Face Transformers.js

    AI recommended 6 alternatives but never named software-mansion/react-native-executorch. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 software-mansion/react-native-executorch?
    pass
    AI did not name software-mansion/react-native-executorch — likely talking about a different project

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

  • If a team adopts software-mansion/react-native-executorch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named software-mansion/react-native-executorch 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 software-mansion/react-native-executorch solve, and who is the primary audience?
    pass
    AI did not name software-mansion/react-native-executorch — likely talking about a different project

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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