RRepoGEO

REPOGEO REPORT · LITE

zai-org/CodeGeeX

Default branch main · commit 2838420b · scanned 5/28/2026, 12:12:33 PM

GitHub: 8,790 stars · 691 forks

AI VISIBILITY SCORE
33 /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
2 / 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/CodeGeeX, 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 the README's opening to clearly state its identity as an open-source LLM

    Why:

    CURRENT
    The README currently starts with navigation links and news about CodeGeeX4.
    COPY-PASTE FIX
    Add a concise introductory sentence or paragraph at the very top of the README (before the links) that clearly states: "CodeGeeX is an open-source multilingual Large Language Model (LLM) for code generation, completion, and translation, designed for developers and researchers. Backed by KDD 2023 research, it offers self-hostable capabilities across multiple programming languages."
  • mediumabout#2
    Enhance the GitHub repository description to explicitly mention LLM and core functions

    Why:

    CURRENT
    CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
    COPY-PASTE FIX
    CodeGeeX: An open-source multilingual Large Language Model (LLM) for code generation, completion, and translation (KDD 2023).
  • lowtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    code-generation, pretrained-models, tools
    COPY-PASTE FIX
    code-generation, pretrained-models, tools, large-language-model, llm, code-completion, code-translation

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/CodeGeeX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Tabnine · recommended 1×
  3. Amazon CodeWhisperer · recommended 1×
  4. Google Gemini · recommended 1×
  5. Replit AI · recommended 1×
  • CATEGORY QUERY
    What are the best AI tools for generating code across multiple programming languages?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. Amazon CodeWhisperer
    4. Google Gemini
    5. Replit AI
    6. OpenAI Codex

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a powerful open-source model to assist with code completion and generation.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. StarCoder / StarCoder2
    3. DeepSeek Coder
    4. Phind-CodeLlama
    5. WizardCoder

    AI recommended 5 alternatives but never named zai-org/CodeGeeX. 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/CodeGeeX?
    pass
    AI did not name zai-org/CodeGeeX — likely talking about a different project

    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/CodeGeeX in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/CodeGeeX 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/CodeGeeX solve, and who is the primary audience?
    pass
    AI named zai-org/CodeGeeX explicitly

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

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MARKDOWN (README)
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HTML
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zai-org/CodeGeeX — 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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