RRepoGEO

REPOGEO REPORT · LITE

Langboat/Mengzi3

Default branch main · commit 81370f5b · scanned 6/23/2026, 9:18:07 PM

GitHub: 1,369 stars · 16 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
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 Langboat/Mengzi3, 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 repository description

    Why:

    COPY-PASTE FIX
    Mengzi3 is a series of powerful, pre-trained large language models (8B/13B) optimized for Chinese language processing tasks, designed for AI researchers and developers.
  • highreadme#2
    Add a clear, concise introductory sentence to the README

    Why:

    CURRENT
    <div align="left">
<h1>
Mengzi3
</h1>
</div>
    COPY-PASTE FIX
    # Mengzi3: A Powerful 8B/13B Large Language Model Series for Chinese NLP

Mengzi3 offers a suite of pre-trained large language models (8B and 13B parameters) specifically optimized for advanced natural language processing tasks in the Chinese language, targeting AI researchers and developers.

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 Langboat/Mengzi3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3 8B Instruct
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 8B Instruct · recommended 1×
  2. Llama 3 8B · recommended 1×
  3. Mistral 7B Instruct v0.2 · recommended 1×
  4. Mistral 7B v0.2 · recommended 1×
  5. Gemma 7B Instruct · recommended 1×
  • CATEGORY QUERY
    Looking for open-source foundational models around 8B or 13B parameters.
    you: not recommended
    AI recommended (in order):
    1. Llama 3 8B Instruct
    2. Llama 3 8B
    3. Mistral 7B Instruct v0.2
    4. Mistral 7B v0.2
    5. Gemma 7B Instruct
    6. Gemma 7B
    7. Qwen 1.5 7B Chat
    8. Qwen 1.5 7B
    9. Falcon 7B Instruct
    10. Falcon 7B

    AI recommended 10 alternatives but never named Langboat/Mengzi3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some strong open-source large language models for Chinese language tasks?
    you: not recommended
    AI recommended (in order):
    1. Qwen models
    2. Baichuan2 series
    3. ChatGLM series
    4. Yi models
    5. InternLM2 models

    AI recommended 5 alternatives but never named Langboat/Mengzi3. 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 Langboat/Mengzi3?
    pass
    AI named Langboat/Mengzi3 explicitly

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

  • If a team adopts Langboat/Mengzi3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Langboat/Mengzi3 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 Langboat/Mengzi3 solve, and who is the primary audience?
    pass
    AI named Langboat/Mengzi3 explicitly

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

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Langboat/Mengzi3 — 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