RRepoGEO

REPOGEO REPORT · LITE

adrianhajdin/project_openai_codex

Default branch main · commit 6685f45a · scanned 5/26/2026, 11:47:43 PM

GitHub: 1,399 stars · 728 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 adrianhajdin/project_openai_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
  • highreadme#1
    Clarify the README's opening to position the repo as a full-stack learning project

    Why:

    CURRENT
    ### 🌟 Become a top 1% Next.js 13 developer in only one course
### 🚀 Land your dream programming job in 6 months
    COPY-PASTE FIX
    This repository provides a comprehensive, full-stack MERN (MongoDB, Express.js, React.js, Node.js) implementation of an AI code generator using OpenAI's Codex API, designed as a complete, deployable learning resource for developers.

### 🌟 Become a top 1% Next.js 13 developer in only one course
### 🚀 Land your dream programming job in 6 months
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text for the MIT License.
  • mediumtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai, chatgpt
    COPY-PASTE FIX
    ai, chatgpt, code-generation, nextjs, mern-stack, react, nodejs, mongodb, expressjs, openai-api, learning-project, full-stack

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 adrianhajdin/project_openai_codex
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. GPT-4 · recommended 2×
  3. CodeLlama · recommended 2×
  4. StarCoder · recommended 2×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How can I build and deploy a custom AI coding assistant web application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GPT-4
    3. GPT-3.5 Turbo
    4. Next.js
    5. Vercel
    6. Hugging Face Transformers
    7. CodeLlama
    8. StarCoder
    9. FastAPI
    10. Render
    11. React
    12. Vue.js
    13. Svelte
    14. Google Cloud Vertex AI
    15. Codey APIs
    16. Flask
    17. Google App Engine
    18. Microsoft Azure OpenAI Service
    19. ASP.NET Core
    20. Azure App Service
    21. Llama.cpp
    22. Ollama
    23. Llama 2
    24. Mistral
    25. Streamlit
    26. Docker

    AI recommended 26 alternatives but never named adrianhajdin/project_openai_codex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a project to learn building an intelligent code generation tool?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library (huggingface/transformers)
    2. CodeLlama
    3. StarCoder
    4. GPT-2
    5. OpenAI API
    6. GPT-3.5
    7. GPT-4
    8. Xtext (eclipse/xtext)
    9. ANTLR (antlr/antlr4)
    10. DeepMind's AlphaCode
    11. Microsoft's PROSE (microsoft/prose)
    12. Tree-Sitter (tree-sitter/tree-sitter)

    AI recommended 12 alternatives but never named adrianhajdin/project_openai_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 adrianhajdin/project_openai_codex?
    pass
    AI named adrianhajdin/project_openai_codex explicitly

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

  • If a team adopts adrianhajdin/project_openai_codex in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name adrianhajdin/project_openai_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?

  • In one sentence, what problem does the repo adrianhajdin/project_openai_codex solve, and who is the primary audience?
    pass
    AI did not name adrianhajdin/project_openai_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 adrianhajdin/project_openai_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/adrianhajdin/project_openai_codex.svg)](https://repogeo.com/en/r/adrianhajdin/project_openai_codex)
HTML
<a href="https://repogeo.com/en/r/adrianhajdin/project_openai_codex"><img src="https://repogeo.com/badge/adrianhajdin/project_openai_codex.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

adrianhajdin/project_openai_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