RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/Hunyuan-MT

Default branch main · commit 23380076 · scanned 6/4/2026, 6:38:12 AM

GitHub: 711 stars · 69 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/Hunyuan-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

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Hunyuan-MT offers state-of-the-art machine translation models, including Hunyuan-MT-7B and Hunyuan-MT-Chimera, supporting mutual translation among 33 languages with a focus on Chinese and ethnic minority languages.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    machine-translation, nmt, large-language-models, multilingual, chinese-translation, wmt, deep-learning, natural-language-processing
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://hunyuan.tencent.com

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/Hunyuan-MT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NLLB-200
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NLLB-200 · recommended 1×
  2. M2M-100 · recommended 1×
  3. MarianMT · recommended 1×
  4. OpenNMT · recommended 1×
  5. fairseq · recommended 1×
  • CATEGORY QUERY
    What are the best open-source models for high-quality machine translation tasks?
    you: not recommended
    AI recommended (in order):
    1. NLLB-200
    2. M2M-100
    3. MarianMT
    4. OpenNMT
    5. fairseq
    6. Helsinki-NLP/Opus-MT

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

    Show full AI answer
  • CATEGORY QUERY
    How can I implement an ensemble approach for improving neural machine translation accuracy?
    you: not recommended
    AI recommended (in order):
    1. OpenNMT-py (OpenNMT/OpenNMT-py)
    2. Fairseq (facebookresearch/fairseq)
    3. Hugging Face Transformers (huggingface/transformers)
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. Marian NMT (marian-nmt/marian)
    7. Sockeye (awslabs/sockeye)
    8. scikit-learn (scikit-learn/scikit-learn)

    AI recommended 8 alternatives but never named Tencent-Hunyuan/Hunyuan-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/Hunyuan-MT?
    pass
    AI named Tencent-Hunyuan/Hunyuan-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/Hunyuan-MT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/Hunyuan-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/Hunyuan-MT solve, and who is the primary audience?
    pass
    AI named Tencent-Hunyuan/Hunyuan-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/Hunyuan-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