RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/Hy-MT

Default branch main · commit 13c207d7 · scanned 6/7/2026, 1:57:35 PM

GitHub: 770 stars · 70 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 Tencent-Hunyuan/Hy-MT, 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
  • highabout#1
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    Hy-MT is an open-source, high-performance machine translation model and toolkit from Tencent Hunyuan, featuring the Hy-MT2 series with strong instruction-following capabilities. It's designed for researchers and developers, supporting competitive benchmarks and integration with LLaMA Factory.
  • mediumreadme#2
    Clarify the existing license(s) in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [insert specific license name(s) here, e.g., 'a custom license based on Apache 2.0 and MIT terms']. Please refer to the [LICENSE](LICENSE) file for complete 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 Tencent-Hunyuan/Hy-MT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenNMT/OpenNMT-py
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenNMT/OpenNMT-py · recommended 2×
  2. Google Translate API · recommended 1×
  3. DeepL API · recommended 1×
  4. Microsoft Translator Text API · recommended 1×
  5. Amazon Translate · recommended 1×
  • CATEGORY QUERY
    Seeking a high-performance machine translation model with strong instruction-following capabilities.
    you: not recommended
    AI recommended (in order):
    1. Google Translate API
    2. DeepL API
    3. OpenNMT-py (OpenNMT/OpenNMT-py)
    4. Microsoft Translator Text API
    5. Amazon Translate
    6. Helsinki-NLP/Opus-MT (Helsinki-NLP/Opus-MT)

    AI recommended 6 alternatives but never named Tencent-Hunyuan/Hy-MT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which open-source translation models are recommended for competitive research benchmarks?
    you: not recommended
    AI recommended (in order):
    1. NLLB-200 (facebookresearch/nllb)
    2. M2M-100 (facebookresearch/m2m100)
    3. MarianMT (marian-nmt/marian)
    4. OpenNMT (OpenNMT/OpenNMT-py)
    5. fairseq (facebookresearch/fairseq)
    6. XLM-R (facebookresearch/XLM-RoBERTa)

    AI recommended 6 alternatives but never named Tencent-Hunyuan/Hy-MT. 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 Tencent-Hunyuan/Hy-MT?
    pass
    AI named Tencent-Hunyuan/Hy-MT explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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Tencent-Hunyuan/Hy-MT — 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
Tencent-Hunyuan/Hy-MT — RepoGEO report