RRepoGEO

REPOGEO REPORT · LITE

icebear0828/codex-proxy

Default branch dev · commit 751c9f36 · scanned 5/15/2026, 6:52:31 AM

GitHub: 1,039 stars · 138 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 icebear0828/codex-proxy, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise English summary to the README's opening

    Why:

    CURRENT
    <h1>Codex Proxy</h1>
  <h3>您的本地 Codex 编程助手中转站</h3>
    COPY-PASTE FIX
    <h1>Codex Proxy</h1>
  <p>An OpenAI-compatible proxy to expose Codex Desktop's capabilities via standard AI protocols.</p>
  <h3>您的本地 Codex 编程助手中转站</h3>
  • mediumlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the root directory of the repository.

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 icebear0828/codex-proxy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 2×
  2. vllm-project/vllm · recommended 2×
  3. mudler/LocalAI · recommended 2×
  4. huggingface/text-generation-inference · recommended 1×
  5. lm-sys/FastChat · recommended 1×
  • CATEGORY QUERY
    Seeking a local proxy to expose code generation models via OpenAI-compatible API.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. vLLM (vllm-project/vllm)
    3. text-generation-inference (TGI) by Hugging Face (huggingface/text-generation-inference)
    4. LocalAI (mudler/LocalAI)
    5. FastChat (lm-sys/FastChat)

    AI recommended 5 alternatives but never named icebear0828/codex-proxy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate a local AI assistant with various standard AI client applications?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Ollama (ollama/ollama)
    3. LocalAI (mudler/LocalAI)
    4. vLLM (vllm-project/vllm)
    5. LangChain (langchain-ai/langchain)
    6. LlamaIndex (run-llama/llama_index)
    7. FastAPI (tiangolo/fastapi)
    8. Hugging Face Transformers (huggingface/transformers)
    9. Gradio (gradio-app/gradio)
    10. Eclipse Mosquitto (eclipse/mosquitto)
    11. websockets (python-websockets/websockets)

    AI recommended 11 alternatives but never named icebear0828/codex-proxy. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 icebear0828/codex-proxy?
    pass
    AI named icebear0828/codex-proxy explicitly

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

  • If a team adopts icebear0828/codex-proxy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named icebear0828/codex-proxy 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 icebear0828/codex-proxy solve, and who is the primary audience?
    pass
    AI did not name icebear0828/codex-proxy — 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?

Embed your GEO score

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icebear0828/codex-proxy — 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