RRepoGEO

REPOGEO REPORT · LITE

onnx/tensorflow-onnx

Default branch main · commit fc345dfd · scanned 5/27/2026, 3:36:51 AM

GitHub: 2,530 stars · 463 forks

AI VISIBILITY SCORE
66 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
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 onnx/tensorflow-onnx, 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 H1 to emphasize interoperable model export

    Why:

    CURRENT
    # tf2onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX.
    COPY-PASTE FIX
    # tf2onnx - Convert TensorFlow, Keras, Tensorflow.js, and TFLite models to ONNX for cross-platform interoperability.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://onnx.ai/
  • lowtopics#3
    Add a topic to reinforce model interoperability

    Why:

    CURRENT
    convert, deep-learning, export, keras, onnx, tensorflow, tensorflowjs, tflite
    COPY-PASTE FIX
    convert, deep-learning, export, keras, model-interoperability, onnx, tensorflow, tensorflowjs, tflite

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
1 / 2
50% of queries surface onnx/tensorflow-onnx
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
tf2onnx
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tf2onnx · recommended 1×
  2. ONNX Runtime · recommended 1×
  3. TensorFlow · recommended 1×
  4. onnx · recommended 1×
  5. Keras · recommended 1×
  • CATEGORY QUERY
    How can I convert my existing deep learning models from TensorFlow to ONNX format?
    you: #2
    AI recommended (in order):
    1. tf2onnx
    2. tensorflow-onnx ← you
    3. ONNX Runtime
    4. TensorFlow
    5. onnx
    6. Keras
    Show full AI answer
  • CATEGORY QUERY
    What tools are available to export Keras, TFLite, or TF.js models to an interoperable standard?
    you: not recommended
    AI recommended (in order):
    1. ONNX
    2. OpenVINO Model Optimizer
    3. Core ML Tools
    4. TensorFlow SavedModel
    5. PMML

    AI recommended 5 alternatives but never named onnx/tensorflow-onnx. 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 onnx/tensorflow-onnx?
    pass
    AI named onnx/tensorflow-onnx explicitly

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

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

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

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