RRepoGEO

REPOGEO REPORT · LITE

zai-org/CodeGeeX4

Default branch main · commit 480f792b · scanned 5/27/2026, 3:17:49 PM

GitHub: 2,513 stars · 260 forks

AI VISIBILITY SCORE
28 /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
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/CodeGeeX4, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    code-generation, llm, code-llm, multilingual, ai-assistant, code-completion, code-interpreter, function-calling, q-a
  • highreadme#2
    Clarify the model's scope in the README to prevent feature hallucination

    Why:

    COPY-PASTE FIX
    Add a sentence early in the README, for example: "CodeGeeX4-ALL-9B is a text-based model focused exclusively on code and natural language processing for software development."
  • highreadme#3
    Reposition the README's opening to highlight its role as an open-source alternative

    Why:

    CURRENT
    We introduce CodeGeeX4-ALL-9B, the open-source version of the latest CodeGeeX4 model series. It is a multilingual code generation model continually trained on the GLM-4-9B, significantly enhancing its code generation capabilities.
    COPY-PASTE FIX
    We introduce CodeGeeX4-ALL-9B, the open-source version of the latest CodeGeeX4 model series. As a powerful, deployable alternative to commercial AI coding assistants, it is a multilingual code generation model continually trained on the GLM-4-9B, significantly enhancing its code generation capabilities.

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/CodeGeeX4
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Enterprise
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Enterprise · recommended 2×
  2. JetBrains AI Assistant · recommended 2×
  3. Google Gemini for Google Workspace · recommended 1×
  4. Amazon CodeWhisperer · recommended 1×
  5. Tabnine Enterprise · recommended 1×
  • CATEGORY QUERY
    What AI assistant can provide multilingual code generation, completion, and repository-level Q&A?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Google Gemini for Google Workspace
    3. Amazon CodeWhisperer
    4. Tabnine Enterprise
    5. JetBrains AI Assistant

    AI recommended 5 alternatives but never named zai-org/CodeGeeX4. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a versatile AI coding assistant for interpreting code, web search, and function calling.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Cursor
    3. Codeium
    4. Tabnine
    5. JetBrains AI Assistant

    AI recommended 5 alternatives but never named zai-org/CodeGeeX4. 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/CodeGeeX4?
    pass
    AI did not name zai-org/CodeGeeX4 — 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/CodeGeeX4 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/CodeGeeX4 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/CodeGeeX4 solve, and who is the primary audience?
    pass
    AI named zai-org/CodeGeeX4 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 zai-org/CodeGeeX4. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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