RRepoGEO

REPOGEO REPORT · LITE

MetaGLM/glm-cookbook

Default branch main · commit b96ab616 · scanned 6/12/2026, 8:22:44 PM

GitHub: 874 stars · 114 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 MetaGLM/glm-cookbook, 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
  • hightopics#1
    Add broader generative AI and API example topics

    Why:

    CURRENT
    glm4, zhipu, zhipu-api, zhipuai
    COPY-PASTE FIX
    glm4, zhipu, zhipu-api, zhipuai, generative-ai, llm, api-examples, code-examples, large-language-models
  • highreadme#2
    Clarify README's opening sentence to emphasize 'cookbook' and 'generative AI APIs'

    Why:

    CURRENT
    Welcome to the GLM API Beginner’s Repository 📘. This is an open-source tutorial book of introductory code for the GLM API.
    COPY-PASTE FIX
    Welcome to the GLM-CookBook 📘, an open-source repository providing practical examples and guides for interacting with various Generative AI model APIs, including GLM.
  • mediumreadme#3
    Add a dedicated section explaining the repo's purpose and differentiation

    Why:

    COPY-PASTE FIX
    ## What is GLM-CookBook? 

GLM-CookBook is designed as a practical learning resource, offering ready-to-use code examples and tutorials for developers and researchers. Unlike general SDKs or frameworks, this repository focuses on demonstrating specific use cases and best practices for integrating and utilizing Generative AI models, particularly those in the GLM family, for tasks like vision, fine-tuning, and code development.

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 MetaGLM/glm-cookbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. huggingface/transformers · recommended 2×
  3. googleapis/python-aiplatform · recommended 1×
  4. Anthropic Claude API · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    Looking for code examples to interact with different generative AI model APIs.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers (huggingface/transformers)
    3. Google Cloud Vertex AI SDK (googleapis/python-aiplatform)
    4. Anthropic Claude API
    5. LangChain (langchain-ai/langchain)
    6. LlamaIndex (run-llama/llama_index)

    AI recommended 6 alternatives but never named MetaGLM/glm-cookbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to use large language models for code generation and development assistance?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Tabnine
    4. Amazon CodeWhisperer
    5. Google Gemini
    6. OpenAI API
    7. Hugging Face Transformers (huggingface/transformers)

    AI recommended 7 alternatives but never named MetaGLM/glm-cookbook. 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 MetaGLM/glm-cookbook?
    pass
    AI named MetaGLM/glm-cookbook explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of MetaGLM/glm-cookbook. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/MetaGLM/glm-cookbook.svg)](https://repogeo.com/en/r/MetaGLM/glm-cookbook)
HTML
<a href="https://repogeo.com/en/r/MetaGLM/glm-cookbook"><img src="https://repogeo.com/badge/MetaGLM/glm-cookbook.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

MetaGLM/glm-cookbook — 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