RRepoGEO

REPOGEO REPORT · LITE

Quorinex/Freebuff2API

Default branch main · commit a1c10357 · scanned 6/23/2026, 5:02:55 PM

GitHub: 505 stars · 84 forks

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 Quorinex/Freebuff2API, 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 H1 to specify LLM domain

    Why:

    CURRENT
    # Freebuff2API
    COPY-PASTE FIX
    # Freebuff2API: OpenAI-compatible Proxy for Free Large Language Models
  • hightopics#2
    Add relevant topics for categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    openai-api, llm-proxy, free-llm, api-gateway, token-rotation, docker, ai-proxy
  • mediumexamples#3
    Add a quickstart example using an OpenAI client

    Why:

    COPY-PASTE FIX
    ## Quickstart with OpenAI Python Client
    
    Freebuff2API is fully compatible with standard OpenAI API clients. Here's how to use it with the `openai` Python library:
    
    1.  **Install the client:**
        ```bash
        pip install openai
        ```
    
    2.  **Configure and use:**
        ```python
        from openai import OpenAI
    
        # Point the client to your Freebuff2API proxy endpoint
        client = OpenAI(
            base_url="http://localhost:8000/v1", # Replace with your Freebuff2API address
            api_key="sk-freebuff" # Your Freebuff token (or any placeholder if not enforced by your setup)
        )
    
        chat_completion = client.chat.completions.create(
            model="gpt-3.5-turbo", # Or any model supported by Freebuff
            messages=[{"role": "user", "content": "Hello, Freebuff!"}]
        )
    
        print(chat_completion.choices[0].message.content)
        ```

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 Quorinex/Freebuff2API
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Hugging Face Inference API · recommended 1×
  3. OpenAI API · recommended 1×
  4. Google AI Studio · recommended 1×
  5. Gemini API · recommended 1×
  • CATEGORY QUERY
    How to access free large language models using standard AI API clients?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Hugging Face Inference API
    3. OpenAI API
    4. Google AI Studio
    5. Gemini API
    6. Meta Llama 2
    7. Mistral AI
    8. Ollama (ollama/ollama)
    9. Perplexity AI

    AI recommended 9 alternatives but never named Quorinex/Freebuff2API. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a proxy for free LLMs with token rotation and stealth request handling.
    you: not recommended
    AI recommended (in order):
    1. OpenRouter
    2. LiteLLM
    3. Portkey.ai
    4. Helicone.ai
    5. Nginx
    6. Lua
    7. OpenResty
    8. Cloudflare Workers

    AI recommended 8 alternatives but never named Quorinex/Freebuff2API. 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 Quorinex/Freebuff2API?
    pass
    AI did not name Quorinex/Freebuff2API — 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 Quorinex/Freebuff2API in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Quorinex/Freebuff2API 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 Quorinex/Freebuff2API solve, and who is the primary audience?
    pass
    AI named Quorinex/Freebuff2API explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite