RRepoGEO

REPOGEO REPORT · LITE

xianyu110/gpt-codex

Default branch master · commit 2a655a57 · scanned 6/13/2026, 12:27:49 AM

GitHub: 762 stars · 63 forks

AI VISIBILITY SCORE
22 /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
1 / 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 xianyu110/gpt-codex, 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
    Update repository topics to accurately reflect its nature as a tutorial

    Why:

    CURRENT
    claude, claudecode, codex, gemin, gpt, grok
    COPY-PASTE FIX
    openai-codex, ai-agent, programming-agent, ai-tutorial, beginner-guide, code-generation, ai-coding-assistant, tutorial-website
  • highreadme#2
    Add an explicit introductory statement to the README

    Why:

    COPY-PASTE FIX
    这是一个关于 OpenAI CodeX 的完整教程网站，专为国内开发者打造。本仓库旨在提供从零开始、深入浅出的学习资源，帮助小白用户真正掌握 Codex 编程 Agent 的应用。
  • mediumlicense#3
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's intended use and distribution.

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 xianyu110/gpt-codex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot X
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot X · recommended 1×
  2. Cursor IDE · recommended 1×
  3. continue-dev/continue · recommended 1×
  4. smol-ai/smol-developer · recommended 1×
  5. Codeium · recommended 1×
  • CATEGORY QUERY
    Seeking an AI assistant that can continuously work on programming projects, not just chat.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot X
    2. Cursor IDE
    3. Continue.dev (continue-dev/continue)
    4. Smol-developer (smol-ai/smol-developer)
    5. Codeium

    AI recommended 5 alternatives but never named xianyu110/gpt-codex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a comprehensive guide to understand and apply advanced AI coding assistants for beginners.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. Google Gemini
    4. Code Llama
    5. Tabnine
    6. Cursor

    AI recommended 6 alternatives but never named xianyu110/gpt-codex. 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 xianyu110/gpt-codex?
    pass
    AI did not name xianyu110/gpt-codex — 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 xianyu110/gpt-codex in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xianyu110/gpt-codex 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 xianyu110/gpt-codex solve, and who is the primary audience?
    pass
    AI did not name xianyu110/gpt-codex — 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

Drop this badge into the README of xianyu110/gpt-codex. 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/xianyu110/gpt-codex.svg)](https://repogeo.com/en/r/xianyu110/gpt-codex)
HTML
<a href="https://repogeo.com/en/r/xianyu110/gpt-codex"><img src="https://repogeo.com/badge/xianyu110/gpt-codex.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

xianyu110/gpt-codex — 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