RRepoGEO

REPOGEO REPORT · LITE

acheong08/ChatGPT-API-server

Default branch main · commit 499e268e · scanned 6/9/2026, 6:11:52 AM

GitHub: 770 stars · 131 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 acheong08/ChatGPT-API-server, 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
    Reposition the README's H1 and opening paragraph to clarify its unofficial nature

    Why:

    CURRENT
    > # Official API released by OpenAI. Please use that instead. The model name is `text-chat-davinci-002-20230126`

# ChatGPT API Server
    COPY-PASTE FIX
    # Unofficial ChatGPT API Server for the Free Web Interface

This project provides a reverse-engineered API server to programmatically interact with the *free* ChatGPT web interface, specifically for scenarios where an official OpenAI API key is not desired or available. While OpenAI has released an official API, this server offers an alternative for accessing the public ChatGPT service.
  • mediumabout#2
    Update the repository description to highlight its unofficial nature

    Why:

    CURRENT
    API server for ChatGPT
    COPY-PASTE FIX
    Unofficial API server for the free ChatGPT web interface, enabling programmatic access without an official OpenAI API key.

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 acheong08/ChatGPT-API-server
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Google Cloud Vertex AI · recommended 1×
  3. Hugging Face Transformers Library · recommended 1×
  4. Anthropic Claude API · recommended 1×
  5. Microsoft Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    How to integrate a conversational AI model's capabilities into a custom application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Vertex AI
    3. Hugging Face Transformers Library
    4. Anthropic Claude API
    5. Microsoft Azure OpenAI Service
    6. LangChain
    7. LlamaIndex

    AI recommended 7 alternatives but never named acheong08/ChatGPT-API-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist for building a local API proxy for large language models?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenAI Proxy
    3. LocalAI
    4. NGINX
    5. HAProxy
    6. Caddy
    7. FastAPI
    8. Flask

    AI recommended 8 alternatives but never named acheong08/ChatGPT-API-server. 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 acheong08/ChatGPT-API-server?
    pass
    AI did not name acheong08/ChatGPT-API-server — 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 acheong08/ChatGPT-API-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named acheong08/ChatGPT-API-server 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 acheong08/ChatGPT-API-server solve, and who is the primary audience?
    pass
    AI did not name acheong08/ChatGPT-API-server — 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?

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acheong08/ChatGPT-API-server — 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