RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/Tencent-Hunyuan-Large

Default branch main · commit cdc37358 · scanned 5/16/2026, 12:42:46 AM

GitHub: 1,591 stars · 120 forks

AI VISIBILITY SCORE
17 /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
1 / 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/Tencent-Hunyuan-Large, 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
    Add a clear introductory sentence to the README and About description

    Why:

    COPY-PASTE FIX
    Tencent Hunyuan-Large is a powerful large language model (LLM) developed by Tencent, offering advanced capabilities for diverse generative AI tasks including language understanding, generation, and multi-modal interaction. This repository provides access to the model weights and resources for developers and researchers.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    large-language-model, llm, generative-ai, tencent, hunyuan, ai-model, nlp, multimodal-ai
  • mediumhomepage#3
    Set the official website as the repository homepage

    Why:

    COPY-PASTE FIX
    https://llm.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/Tencent-Hunyuan-Large
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama.cpp · recommended 1×
  2. Ollama · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. PyTorch · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    What are good open-source large language models for local deployment?
    you: not recommended
    AI recommended (in order):
    1. Llama.cpp
    2. Ollama
    3. Hugging Face Transformers
    4. PyTorch
    5. TensorFlow
    6. JAX
    7. vLLM
    8. ExLlamaV2

    AI recommended 8 alternatives but never named Tencent-Hunyuan/Tencent-Hunyuan-Large. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which powerful generative AI models offer an accessible API for integration?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. OpenAI GPT-3.5 Turbo
    3. Anthropic Claude 3
    4. Google Gemini
    5. Google Cloud Vertex AI
    6. Cohere Command R+
    7. Cohere Command R
    8. Mistral AI
    9. Mistral Large
    10. Mixtral 8x7B

    AI recommended 10 alternatives but never named Tencent-Hunyuan/Tencent-Hunyuan-Large. 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/Tencent-Hunyuan-Large?
    pass
    AI did not name Tencent-Hunyuan/Tencent-Hunyuan-Large — 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 Tencent-Hunyuan/Tencent-Hunyuan-Large in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/Tencent-Hunyuan-Large 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/Tencent-Hunyuan-Large solve, and who is the primary audience?
    pass
    AI did not name Tencent-Hunyuan/Tencent-Hunyuan-Large — 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?

Embed your GEO score

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

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MARKDOWN (README)
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Tencent-Hunyuan/Tencent-Hunyuan-Large — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite