RRepoGEO

REPOGEO REPORT · LITE

iBUHub/AIStudioToAPI

Default branch main · commit 3ddcbc9e · scanned 7/1/2026, 1:07:16 AM

GitHub: 1,403 stars · 218 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 iBUHub/AIStudioToAPI, 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
    Reposition README opening to highlight unique LLM API proxy role

    Why:

    CURRENT
    该服务将充当代理，将 API 请求转换为与 AI Studio Build App 应用界面的浏览器交互。
    COPY-PASTE FIX
    该服务通过浏览器自动化技术，将 AI Studio Build App 应用界面的交互转换为标准的 API 请求，使其成为一个独特的 LLM API 代理，而非传统的模型部署框架。
  • hightopics#2
    Expand repository topics with specific keywords

    Why:

    CURRENT
    aistudio, api, gemini
    COPY-PASTE FIX
    aistudio, api, gemini, openai-api, anthropic-api, llm-proxy, api-gateway, browser-automation, google-ai-studio, llm-wrapper, ai-studio-wrapper
  • mediumabout#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/iBUHub/AIStudioToAPI

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 iBUHub/AIStudioToAPI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Flask
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Flask · recommended 1×
  2. Gunicorn · recommended 1×
  3. Nginx · recommended 1×
  4. FastAPI · recommended 1×
  5. Uvicorn · recommended 1×
  • CATEGORY QUERY
    How can I expose a custom AI model from a web interface as a standard API?
    you: not recommended
    AI recommended (in order):
    1. Flask
    2. Gunicorn
    3. Nginx
    4. FastAPI
    5. Uvicorn
    6. Django REST Framework
    7. Streamlit
    8. AWS SageMaker
    9. Google Cloud Vertex AI
    10. Azure Machine Learning

    AI recommended 10 alternatives but never named iBUHub/AIStudioToAPI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a way to make a custom model compatible with popular LLM API specifications.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM (BerriAI/litellm)
    2. vLLM (vllm-project/vllm)
    3. TGI (Text Generation Inference) (huggingface/text-generation-inference)
    4. OpenAI Python Library (openai/openai-python)
    5. FastAPI (tiangolo/fastapi)
    6. LangChain (langchain-ai/langchain)
    7. Llama.cpp (ggerganov/llama.cpp)

    AI recommended 7 alternatives but never named iBUHub/AIStudioToAPI. 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 iBUHub/AIStudioToAPI?
    pass
    AI named iBUHub/AIStudioToAPI explicitly

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

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