RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-4

Default branch main · commit 3f79b543 · scanned 5/19/2026, 3:17:54 AM

GitHub: 7,073 stars · 619 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-4, 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 opening to clarify repo's official role

    Why:

    CURRENT
    # GLM-4-0414 Model Series

<p align="center">
👋 Join our <a href="https://discord.gg/8cnQKdAprg" target="_blank">Discord</a>, <a href="https://x.com/Zai_org" target="_blank">X</a> and <a href="resources/WECHAT.md" target="_blank"> WeChat (Chinese) </a>
</p>
    COPY-PASTE FIX
    # GLM-4-0414 Model Series: Official Open-Source Multilingual Multimodal Chat LMs

<p align="center">
👋 Join our <a href="https://discord.gg/8cnQKdAprg" target="_blank">Discord</a>, <a href="https://x.com/Zai_org" target="_blank">X</a> and <a href="resources/WECHAT.md" target="_blank"> WeChat (Chinese) </a>
</p>

This repository serves as the primary source for the open-source GLM-4 series of large language models, including multilingual and multimodal chat capabilities.
  • hightopics#2
    Expand topics with high-traffic, category-defining keywords

    Why:

    CURRENT
    chatglm, chatglm-6b, glm, glm-4, glm4
    COPY-PASTE FIX
    chatglm, chatglm-6b, glm, glm-4, glm4, large-language-model, llm, multimodal-ai, conversational-ai, open-source-llm, generative-ai
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://chat.z.ai

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-4
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. Mistral 7B Instruct v0.2 · recommended 1×
  3. Mixtral 8x7B Instruct · recommended 1×
  4. Gemma · recommended 1×
  5. Falcon · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source large language model to power multilingual chat applications.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B Instruct v0.2
    3. Mixtral 8x7B Instruct
    4. Gemma
    5. Falcon
    6. MPT
    7. BLOOM
    8. BLOOMZ

    AI recommended 8 alternatives but never named zai-org/GLM-4. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which powerful multimodal models are suitable for developing complex conversational AI solutions?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Gemini 1.5 Pro
    3. Claude 3 Opus
    4. Llama 3
    5. Co:here Command R+
    6. Qwen-VL-Plus

    AI recommended 6 alternatives but never named zai-org/GLM-4. 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-4?
    pass
    AI named zai-org/GLM-4 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-4 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/GLM-4 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-4 solve, and who is the primary audience?
    pass
    AI named zai-org/GLM-4 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-4 — 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