RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-4.5

Default branch main · commit 170f20b2 · scanned 5/8/2026, 8:52:50 PM

GitHub: 4,335 stars · 453 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-4.5, 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
    Clearly state the purpose and contents of the GLM-4.5 repository

    Why:

    CURRENT
    The current README starts with a general title for multiple GLM versions and immediately focuses on GLM-4.7's API and features.
    COPY-PASTE FIX
    Revise the README's opening section to clearly introduce `zai-org/GLM-4.5` as the official repository for the GLM-4.5 Agentic, Reasoning, and Coding (ARC) Foundation Model. Explicitly state what resources are available here for GLM-4.5 (e.g., 'This repository provides the technical report, research findings, and API access details for GLM-4.5.'). If model weights or code are available, highlight this prominently. If the repo also covers GLM-4.7/4.6, clearly delineate their sections *after* establishing GLM-4.5's primary role.
  • mediumreadme#2
    Prominently feature GLM-4.5's technical report and benchmarks

    Why:

    CURRENT
    'technical report(GLM-4.5)' is a small link within a paragraph of other links.
    COPY-PASTE FIX
    Create a dedicated 'Technical Report & Benchmarks' section for GLM-4.5. Clearly link to the GLM-4.5 technical report and summarize its key findings, performance metrics, and benchmarks (e.g., SWE-bench, Terminal Bench 2.0 if applicable to GLM-4.5) in an easily digestible format. This section should be distinct from GLM-4.7's specific benchmarks.
  • lowreadme#3
    Clarify the relationship between GLM-4.5 and other GLM versions

    Why:

    CURRENT
    # GLM-4.7 & GLM-4.6 & GLM-4.5 and the 'Model Introduction' section focusing on GLM-4.7.
    COPY-PASTE FIX
    After establishing GLM-4.5's primary role, add a 'GLM Series Overview' section. Clearly explain the relationship between GLM-4.5, GLM-4.6, and GLM-4.7 (e.g., 'GLM-4.7 is the latest iteration, building upon GLM-4.6 and GLM-4.5. This repository focuses on GLM-4.5 but provides links and context for its successors.'). Ensure distinct sections or clear headings for each 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-4.5
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Claude 3 Opus
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Claude 3 Opus · recommended 2×
  2. Gemini 1.5 Pro · recommended 2×
  3. GPT-4o · recommended 1×
  4. GPT-4 Turbo · recommended 1×
  5. Llama 3 70B · recommended 1×
  • CATEGORY QUERY
    What AI models offer strong agentic capabilities for complex coding tasks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Claude 3 Opus
    3. GPT-4 Turbo
    4. Gemini 1.5 Pro
    5. Llama 3 70B
    6. Mixtral 8x22B

    AI recommended 6 alternatives but never named zai-org/GLM-4.5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a powerful foundation model for advanced reasoning and complex problem-solving?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Mistral Large

    AI recommended 5 alternatives but never named zai-org/GLM-4.5. 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-4.5?
    pass
    AI named zai-org/GLM-4.5 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-4.5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/GLM-4.5 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-4.5 solve, and who is the primary audience?
    pass
    AI named zai-org/GLM-4.5 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-4.5 — 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