RRepoGEO

REPOGEO REPORT · LITE

kpot/keras-transformer

Default branch master · commit b9d4e76c · scanned 6/1/2026, 6:33:15 PM

GitHub: 541 stars · 135 forks

AI VISIBILITY SCORE
28 /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
2 / 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 kpot/keras-transformer, 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 the repository

    Why:

    COPY-PASTE FIX
    keras, transformer, nlp, deep-learning, bert, gpt, attention, machine-learning, python
  • highreadme#2
    Clarify the unique value proposition in the README's opening

    Why:

    CURRENT
    Keras-transformer is a Python library implementing nuts and bolts, for building (Universal) Transformer models using Keras, and equipped with [examples](#language-modelling-examples-with-bert-and-gpt) of how it can be applied.
    COPY-PASTE FIX
    Keras-transformer is a **modular Python library for Keras** that provides the essential building blocks to construct **custom Transformer models from scratch**, including advanced features like attention masking, positional encoding, and ACT. It empowers researchers and practitioners to flexibly implement and experiment with architectures like BERT and GPT within the Keras ecosystem.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Link to documentation, project page, or a relevant example/demo if available. If not, consider linking to the repo itself or a specific examples directory.]

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 kpot/keras-transformer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Keras
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Keras · recommended 1×
  2. Keras-nlp · recommended 1×
  3. TensorFlow Addons · recommended 1×
  4. NumPy · recommended 1×
  5. Matplotlib · recommended 1×
  • CATEGORY QUERY
    How to implement custom transformer architectures for NLP tasks using Keras?
    you: not recommended
    AI recommended (in order):
    1. Keras
    2. Keras-nlp
    3. TensorFlow Addons
    4. NumPy
    5. Matplotlib
    6. Seaborn

    AI recommended 6 alternatives but never named kpot/keras-transformer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Keras components to build BERT-like models with attention masking and positional encoding.
    you: not recommended
    AI recommended (in order):
    1. Keras-nlp (keras-team/keras-nlp)
    2. TensorFlow Addons (tensorflow/addons)
    3. Keras (keras-team/keras)

    AI recommended 3 alternatives but never named kpot/keras-transformer. 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 kpot/keras-transformer?
    pass
    AI did not name kpot/keras-transformer — 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 kpot/keras-transformer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kpot/keras-transformer 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 kpot/keras-transformer solve, and who is the primary audience?
    pass
    AI named kpot/keras-transformer 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