RRepoGEO

REPOGEO REPORT · LITE

aurorax-neo/chat2api

Default branch master · commit f5a036d3 · scanned 6/12/2026, 7:22:20 AM

GitHub: 613 stars · 112 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 aurorax-neo/chat2api, 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
  • highabout#1
    Update the repository's description

    Why:

    CURRENT
    chat2api
    COPY-PASTE FIX
    Transforms web-based ChatGPT features into an OpenAI-compatible HTTP API, supporting function calling and streaming.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    api, chat, gpt
    COPY-PASTE FIX
    api, chat, gpt, openai-api, reverse-proxy, llm-proxy, function-calling, streaming-api, chatgpt-api, web-to-api
  • lowreadme#3
    Explicitly state the core differentiator in the README

    Why:

    COPY-PASTE FIX
    Add this sentence prominently near the top of the README: "chat2api's core differentiator is its ability to convert web-based chat services into a standard OpenAI-compatible HTTP API, enabling seamless integration for applications expecting a traditional API."

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 aurorax-neo/chat2api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. FastAPI · recommended 2×
  4. OpenAI API · recommended 1×
  5. acheong08/ChatGPT · recommended 1×
  • CATEGORY QUERY
    How to expose ChatGPT web features as a standard OpenAI-compatible HTTP API?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. ChatGPT-API (acheong08/ChatGPT)
    3. Puppeteer
    4. Selenium
    5. LangChain
    6. LlamaIndex
    7. Node.js
    8. Express
    9. Python
    10. Flask
    11. FastAPI
    12. Go
    13. Gin

    AI recommended 13 alternatives but never named aurorax-neo/chat2api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to transform conversational AI into an API supporting function calls and streaming.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API
    2. LangChain
    3. LlamaIndex
    4. Haystack
    5. FastAPI
    6. OpenAI Python Client Library
    7. MindsDB
    8. Botpress

    AI recommended 8 alternatives but never named aurorax-neo/chat2api. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 aurorax-neo/chat2api?
    pass
    AI did not name aurorax-neo/chat2api — 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 aurorax-neo/chat2api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aurorax-neo/chat2api 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 aurorax-neo/chat2api solve, and who is the primary audience?
    pass
    AI named aurorax-neo/chat2api 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 aurorax-neo/chat2api. 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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HTML
<a href="https://repogeo.com/en/r/aurorax-neo/chat2api"><img src="https://repogeo.com/badge/aurorax-neo/chat2api.svg" alt="RepoGEO" /></a>
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