RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/Tencent-Hunyuan-Large

Default branch main · commit cdc37358 · scanned 6/26/2026, 8:12:48 PM

GitHub: 1,585 stars · 120 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)

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

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/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
    Reposition README and add About description to clarify API/SDK nature

    Why:

    COPY-PASTE FIX
    1. For the GitHub repository 'About' section (Description field): 'Official API and SDK for Tencent's proprietary Hunyuan large language model, enabling developers to integrate advanced natural language understanding and generation capabilities into their applications.'
    2. For the `README.md` file (add immediately after the language selector, before any other links or tables):
    ```
    This repository provides the official API and SDK for Tencent's proprietary Hunyuan large language model, enabling developers to integrate advanced natural language understanding and generation capabilities into their applications. Please note: this repository focuses on API access and SDK tools, and does not provide open-source model weights or training code for local deployment.
    ```
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    large-language-model, llm, api, sdk, tencent, hunyuan, generative-ai, ai-api, cloud-api
  • mediumhomepage#3
    Add 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 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 2×
  2. Gemma · recommended 2×
  3. Llama 2 · recommended 2×
  4. Mixtral 8x7B Instruct · recommended 1×
  5. Mistral 7B Instruct · recommended 1×
  • CATEGORY QUERY
    What are the best open-source large language models for general-purpose text generation?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct
    3. Mistral 7B Instruct
    4. Gemma
    5. Llama 2
    6. Falcon 40B Instruct

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

    Show full AI answer
  • CATEGORY QUERY
    Where can I find powerful pre-trained language models available for download and local deployment?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B
    3. Mixtral 8x7B
    4. Gemma
    5. Llama 2
    6. Falcon
    7. MPT

    AI recommended 7 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 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?

  • 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 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?

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.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite