RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-5

Default branch main · commit eddd4aac · scanned 5/26/2026, 1:43:17 PM

GitHub: 3,320 stars · 361 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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-5, 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 direct positioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    # GLM-5.1 & GLM-5
A flagship large language model for agentic engineering, advanced coding, and real-world task automation.
  • hightopics#2
    Expand topics with specific task-oriented keywords

    Why:

    CURRENT
    agentic-ai, coding, glm, llm
    COPY-PASTE FIX
    agentic-ai, coding, glm, llm, code-generation, terminal-automation, repository-creation, agentic-development
  • mediumreadme#3
    Create a dedicated section for key differentiators

    Why:

    CURRENT
    It achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin on NL2Repo (repo generation) and Terminal-Bench 2.0 (real-world terminal tasks).
    COPY-PASTE FIX
    ## Key Differentiators
GLM-5.1 stands out as a next-generation flagship model for agentic engineering, achieving state-of-the-art performance on SWE-Bench Pro. It significantly outperforms its predecessor on NL2Repo (repository generation) and Terminal-Bench 2.0 (real-world terminal tasks), demonstrating superior judgment and sustained productivity on complex, long-horizon agentic problems.

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-5
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. GitHub Copilot X · recommended 1×
  3. OpenAI API · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    What are the best LLM tools for automated code generation and agentic development workflows?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. GitHub Copilot X
    3. OpenAI API
    4. LangChain
    5. LlamaIndex
    6. Replit AI
    7. Smol-developer

    AI recommended 7 alternatives but never named zai-org/GLM-5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an advanced AI model to automate complex real-world terminal tasks and repository creation.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Google Gemini 1.5 Pro
    4. Llama 3
    5. Mistral Large

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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-5?
    pass
    AI named zai-org/GLM-5 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-5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/GLM-5 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-5 solve, and who is the primary audience?
    pass
    AI named zai-org/GLM-5 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-5 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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