RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-V

Default branch main · commit 6d2f8fd4 · scanned 5/10/2026, 11:22:33 AM

GitHub: 2,302 stars · 168 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 zai-org/GLM-V, 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 concise, keyword-rich tagline after the main H1

    Why:

    COPY-PASTE FIX
    # GLM-V

A series of versatile multimodal reasoning models (GLM-4.6V/4.5V/4.1V) powered by scalable reinforcement learning for complex VLM tasks and AI agents.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://z.ai/blog/glm-4.6v
  • mediumreadme#3
    Refine README to explicitly position GLM-V as foundational for AI agents

    Why:

    CURRENT
    VLMs urgently need to enhance reasoning capabilities beyond basic multimodal perception — improving accuracy, comprehensiveness, and intelligence — to enable complex problem solving, long-context understanding, and multimodal agents.
    COPY-PASTE FIX
    VLMs urgently need to enhance reasoning capabilities beyond basic multimodal perception — improving accuracy, comprehensiveness, and intelligence — to enable complex problem solving, long-context understanding, and to serve as the foundational intelligence for advanced multimodal AI agents.

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 zai-org/GLM-V
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4o · recommended 1×
  2. Gemini 1.5 Pro · recommended 1×
  3. Claude 3 Opus · recommended 1×
  4. LLaVA · recommended 1×
  5. Qwen-VL-Max / Qwen-VL-Chat · recommended 1×
  • CATEGORY QUERY
    What are the best vision-language models for complex multimodal reasoning tasks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Gemini 1.5 Pro
    3. Claude 3 Opus
    4. LLaVA
    5. Qwen-VL-Max / Qwen-VL-Chat
    6. CogVLM

    AI recommended 6 alternatives but never named zai-org/GLM-V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build AI agents that understand both video and image content?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. torchvision
    3. Hugging Face Transformers
    4. TensorFlow
    5. Keras
    6. TensorFlow Hub
    7. OpenCV
    8. MMAction2
    9. Detectron2
    10. DeepStream

    AI recommended 10 alternatives but never named zai-org/GLM-V. 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 zai-org/GLM-V?
    pass
    AI named zai-org/GLM-V explicitly

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

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

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

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zai-org/GLM-V — 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