RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-V

Default branch main · commit b0467612 · scanned 6/20/2026, 10:02:27 AM

GitHub: 2,342 stars · 173 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
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
    Reposition README introduction to highlight advanced reasoning and scalability

    Why:

    CURRENT
    Vision-language models (VLMs) have become a key cornerstone of intelligent systems. As real-world AI tasks grow increasingly complex, 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
    GLM-V (GLM-4.6V/4.5V/4.1V) offers versatile multimodal reasoning with scalable reinforcement learning, pushing beyond basic perception to enable complex problem solving, long-context understanding, and multimodal agents.
  • mediumhomepage#2
    Add online demo URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://chat.z.ai/
  • lowtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    image2text, reasoning, video-understanding, vlm
    COPY-PASTE FIX
    image2text, reasoning, video-understanding, vlm, multimodal-reasoning, large-multimodal-model

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-4V
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4V · recommended 1×
  2. Gemini · recommended 1×
  3. Claude 3 · recommended 1×
  4. LLaVA · recommended 1×
  5. Fuyu-8B · recommended 1×
  • CATEGORY QUERY
    What vision-language models offer advanced multimodal reasoning for complex problem solving?
    you: not recommended
    AI recommended (in order):
    1. GPT-4V
    2. Gemini
    3. Claude 3
    4. LLaVA
    5. Fuyu-8B

    AI recommended 5 alternatives but never named zai-org/GLM-V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a scalable multimodal AI model for video understanding and comprehensive visual reasoning.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Meta LLaVA
    4. Microsoft Florence-2
    5. DeepMind Perceiver IO
    6. VideoMAE

    AI recommended 6 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