RRepoGEO

REPOGEO REPORT · LITE

SKT-AI/KoGPT2

Default branch master · commit 56ef31f5 · scanned 6/14/2026, 9:32:44 PM

GitHub: 558 stars · 103 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 SKT-AI/KoGPT2, 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
    Strengthen README's opening statement with explicit use cases

    Why:

    CURRENT
    GPT-2는 주어진 텍스트의 다음 단어를 잘 예측할 수 있도록 학습된 언어모델이며 문장 생성에 최적화 되어 있습니다. `KoGPT2`는 부족한 한국어 성능을 극복하기 위해 40GB 이상의 텍스트로 학습된 한국어 디코더(`decoder`) 언어모델입니다.
    COPY-PASTE FIX
    KoGPT2는 한국어 텍스트 생성 및 분류를 포함한 다양한 한국어 자연어 처리(NLP) 작업을 위한 강력한 사전 학습된 언어 모델입니다. 40GB 이상의 방대한 한국어 텍스트로 학습된 KoGPT2는 한국어 성능을 극복하고 문장 생성에 최적화된 한국어 디코더 모델입니다.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project or organization homepage URL.
  • lowlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    본 프로젝트는 [라이선스 이름 또는 조건]에 따라 배포됩니다. 자세한 내용은 [LICENSE 파일 링크 또는 요약]을 참조하십시오.

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 SKT-AI/KoGPT2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
KoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. KoGPT · recommended 2×
  2. HyperCLOVA X · recommended 1×
  3. GPT-4 · recommended 1×
  4. CLOVA X · recommended 1×
  5. Polyglot-Ko · recommended 1×
  • CATEGORY QUERY
    What are good options for a large language model specifically for Korean text generation?
    you: not recommended
    AI recommended (in order):
    1. HyperCLOVA X
    2. GPT-4
    3. CLOVA X
    4. KoGPT
    5. Polyglot-Ko
    6. Llama 2

    AI recommended 6 alternatives but never named SKT-AI/KoGPT2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a pre-trained Korean NLP model for text generation and classification tasks.
    you: not recommended
    AI recommended (in order):
    1. KoGPT
    2. KoBERT
    3. KR-BERT
    4. KcBERT
    5. KLUE-RoBERTa
    6. Hugging Face Transformers Library

    AI recommended 6 alternatives but never named SKT-AI/KoGPT2. 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 SKT-AI/KoGPT2?
    pass
    AI did not name SKT-AI/KoGPT2 — 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 SKT-AI/KoGPT2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SKT-AI/KoGPT2 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 SKT-AI/KoGPT2 solve, and who is the primary audience?
    pass
    AI named SKT-AI/KoGPT2 explicitly

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

Embed your GEO score

Drop this badge into the README of SKT-AI/KoGPT2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/SKT-AI/KoGPT2.svg)](https://repogeo.com/en/r/SKT-AI/KoGPT2)
HTML
<a href="https://repogeo.com/en/r/SKT-AI/KoGPT2"><img src="https://repogeo.com/badge/SKT-AI/KoGPT2.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

SKT-AI/KoGPT2 — 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