RRepoGEO

REPOGEO REPORT · LITE

Langboat/Mengzi

Default branch main · commit ac7c71ef · scanned 6/11/2026, 9:03:15 AM

GitHub: 544 stars · 62 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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/Mengzi, 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
    Refine the repository description for clarity and impact

    Why:

    CURRENT
    Mengzi Pretrained Models
    COPY-PASTE FIX
    Lightweight and high-performance pre-trained models for Chinese Natural Language Processing (NLP), optimized for efficiency and deployment.
  • highreadme#2
    Enhance README H1 to explicitly state the project's core purpose

    Why:

    CURRENT
    # Mengzi
    COPY-PASTE FIX
    # Mengzi: Lightweight & High-Performance Pre-trained Models for Chinese NLP
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    [Insert official project homepage URL here, e.g., a dedicated project page or Langboat's main research page]

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/Mengzi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MacBERT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MacBERT · recommended 2×
  2. mT5 · recommended 2×
  3. ERNIE · recommended 1×
  4. BERT-base-chinese · recommended 1×
  5. RoBERTa-wwm-ext-base · recommended 1×
  • CATEGORY QUERY
    Seeking performant yet resource-efficient Chinese deep learning models for production deployment.
    you: not recommended
    AI recommended (in order):
    1. ERNIE
    2. BERT-base-chinese
    3. RoBERTa-wwm-ext-base
    4. MacBERT
    5. TinyBERT
    6. DistilBERT
    7. ELECTRA
    8. mT5
    9. LightSeq
    10. FasterTransformer

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

    Show full AI answer
  • CATEGORY QUERY
    What are effective pre-trained models for Chinese natural language understanding and generation tasks?
    you: not recommended
    AI recommended (in order):
    1. BERT (Chinese)
    2. ERNIE 3.0
    3. MacBERT
    4. CPM
    5. Pangu-α
    6. mT5

    AI recommended 6 alternatives but never named Langboat/Mengzi. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    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/Mengzi?
    pass
    AI named Langboat/Mengzi 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/Mengzi in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Langboat/Mengzi 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/Mengzi solve, and who is the primary audience?
    pass
    AI named Langboat/Mengzi 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/Mengzi — 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