RRepoGEO

REPOGEO REPORT · LITE

dair-ai/Transformers-Recipe

Default branch main · commit a8d8c7c3 · scanned 5/15/2026, 4:33:01 AM

GitHub: 1,637 stars · 162 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 dair-ai/Transformers-Recipe, 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 to clearly state it's a study guide for learning Transformers

    Why:

    CURRENT
    Transformers have accelerated the development of new techniques and models for natural language processing (NLP) tasks. While it has mostly been used for NLP tasks, it is now seeing heavy adoption in other areas such as computer vision and reinforcement learning. That makes it one of the most important modern concepts to understand and be able to apply.
    COPY-PASTE FIX
    This repository, **Transformer Recipe**, is a comprehensive study guide and curated list of resources designed to help machine learning and NLP students and practitioners learn about the world of Transformers from scratch. It focuses on understanding the foundational concepts and implementation details, rather than applying pre-trained models or fine-tuning, making it an essential resource for anyone keen on mastering this important modern concept.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    YOUR_HOMEPAGE_URL_HERE
  • lowtopics#3
    Add more specific topics to reflect the "study guide" nature

    Why:

    CURRENT
    ["ai", "deep-learning", "machine-learning", "natural-language-processing", "nlp"]
    COPY-PASTE FIX
    ["ai", "deep-learning", "machine-learning", "natural-language-processing", "nlp", "study-guide", "learning-resources", "transformer-tutorial", "education"]

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 dair-ai/Transformers-Recipe
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Attention Is All You Need · recommended 1×
  3. WordPiece · recommended 1×
  4. BPE · recommended 1×
  5. SentencePiece · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive study guide to learn transformer models from scratch?
    you: not recommended
    AI recommended (in order):
    1. transformers (huggingface/transformers)

    AI recommended 1 alternative but never named dair-ai/Transformers-Recipe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the foundational concepts required to apply transformer models in AI projects?
    you: not recommended
    AI recommended (in order):
    1. Attention Is All You Need
    2. WordPiece
    3. BPE
    4. SentencePiece
    5. Word2Vec
    6. GloVe

    AI recommended 6 alternatives but never named dair-ai/Transformers-Recipe. 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 dair-ai/Transformers-Recipe?
    pass
    AI did not name dair-ai/Transformers-Recipe — 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 dair-ai/Transformers-Recipe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dair-ai/Transformers-Recipe 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 dair-ai/Transformers-Recipe solve, and who is the primary audience?
    pass
    AI named dair-ai/Transformers-Recipe explicitly

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

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dair-ai/Transformers-Recipe — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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