RRepoGEO

REPOGEO REPORT · LITE

sannykim/transformer

Default branch master · commit 16a39110 · scanned 6/4/2026, 7:43:20 AM

GitHub: 573 stars · 73 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 sannykim/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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to clarify its nature as a resource collection

    Why:

    CURRENT
    # Transformers
A collection of resources to study Transformers in depth.
    COPY-PASTE FIX
    # Awesome Transformers: A Curated Collection of Learning Resources
A comprehensive collection of resources to study Transformer architecture in depth, including papers, reviews, and blog posts.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of a Creative Commons Attribution 4.0 International License (CC-BY-4.0), suitable for a collection of resources.

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 sannykim/transformer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 2×
  2. pytorch/pytorch · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. pytorch/text · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to understand the Transformer architecture deeply?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. TorchText (pytorch/text)

    AI recommended 4 alternatives but never named sannykim/transformer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best illustrated guides and detailed explanations for Transformer models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face
    2. transformers library (huggingface/transformers)
    3. DeepLearning.AI

    AI recommended 3 alternatives but never named sannykim/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
    fail

    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 sannykim/transformer?
    pass
    AI named sannykim/transformer explicitly

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

  • If a team adopts sannykim/transformer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sannykim/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 sannykim/transformer solve, and who is the primary audience?
    pass
    AI named sannykim/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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  • Brand-free category queries5 vs 2 in Lite
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