RRepoGEO

REPOGEO REPORT · LITE

studio-ousia/luke

Default branch master · commit 25165454 · scanned 6/5/2026, 7:37:56 AM

GitHub: 726 stars · 100 forks

AI VISIBILITY SCORE
69 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 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 studio-ousia/luke, 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:

    CURRENT
    (none)
    COPY-PASTE FIX
    nlp, transformer, knowledge-embeddings, entity-linking, question-answering, named-entity-recognition, japanese-nlp, deep-learning
  • highhomepage#2
    Add a project homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://studio-ousia.github.io/luke
  • mediumreadme#3
    Slightly rephrase the README's opening sentence

    Why:

    CURRENT
    LUKE** (**L**anguage **U**nderstanding with **K**nowledge-based **E**mbeddings) is a new pretrained contextualized representation of words and entities based on transformer.
    COPY-PASTE FIX
    LUKE** (**L**anguage **U**nderstanding with **K**nowledge-based **E**mbeddings) is a state-of-the-art **transformer model** for contextualized representation of words and entities, leveraging knowledge-based embeddings.

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 studio-ousia/luke
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
ERNIE
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ERNIE · recommended 2×
  2. ConceptNet Numberbatch · recommended 1×
  3. OpenKE · recommended 1×
  4. PyKEEN · recommended 1×
  5. K-BERT · recommended 1×
  • CATEGORY QUERY
    How can I leverage knowledge-based embeddings for better language understanding in NLP tasks?
    you: not recommended
    AI recommended (in order):
    1. ConceptNet Numberbatch
    2. OpenKE
    3. PyKEEN
    4. ERNIE
    5. K-BERT
    6. PyTorch Geometric
    7. DGL
    8. Hugging Face Transformers
    9. Wikidata
    10. DBpedia
    11. SPARQL
    12. ConceptNet API

    AI recommended 12 alternatives but never named studio-ousia/luke. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a state-of-the-art entity-aware transformer for multilingual NLP, including Japanese language tasks.
    you: #1
    AI recommended (in order):
    1. LUKE ← you
    2. ERNIE
    3. mT5
    4. XLM-R
    5. BERT-Base Multilingual Cased / Uncased
    6. Tohoku University's BERT
    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 studio-ousia/luke?
    pass
    AI named studio-ousia/luke explicitly

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

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

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

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studio-ousia/luke — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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