RRepoGEO

REPOGEO REPORT · LITE

kakaobrain/kogpt

Default branch main · commit f49f59a8 · scanned 5/23/2026, 5:56:35 PM

GitHub: 1,013 stars · 138 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 kakaobrain/kogpt, 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 main heading to explicitly state this is the official KoGPT repository

    Why:

    CURRENT
    # KakaoBrain project KoGPT
    COPY-PASTE FIX
    # Official KakaoBrain KoGPT Repository: Korean Generative Pre-trained Transformer
  • highhomepage#2
    Add the official KakaoBrain homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://kakaobrain.com/
  • mediumlicense#3
    Clarify the specific license(s) applicable to the KoGPT repository directly in the README

    Why:

    COPY-PASTE FIX
    This repository's code is primarily licensed under [Apache-2.0](https://opensource.org/licenses/Apache-2.0). Please note that the KoGPT models and associated data may be subject to additional terms, including the [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](https://creativecommons.org/licenses/by-nc-nd/4.0/). Review both licenses for comprehensive usage details.

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 kakaobrain/kogpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4 / GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 / GPT-4o · recommended 1×
  2. Claude 3 Opus / Sonnet · recommended 1×
  3. Naver HyperCLOVA X · recommended 1×
  4. Google Gemini Advanced · recommended 1×
  5. Kakao KoGPT · recommended 1×
  • CATEGORY QUERY
    What are effective large language models for generating high-quality Korean text?
    you: not recommended
    AI recommended (in order):
    1. GPT-4 / GPT-4o
    2. Claude 3 Opus / Sonnet
    3. Naver HyperCLOVA X
    4. Google Gemini Advanced
    5. Kakao KoGPT
    6. Llama 3

    AI recommended 6 alternatives but never named kakaobrain/kogpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking transformer-based deep learning models optimized for Korean natural language processing.
    you: not recommended
    AI recommended (in order):
    1. KoBERT
    2. KR-BERT
    3. KoELECTRA
    4. KcBERT
    5. KLUE-RoBERTa
    6. XLM-RoBERTa

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

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

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MARKDOWN (README)
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kakaobrain/kogpt — 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
kakaobrain/kogpt — RepoGEO report