RRepoGEO

REPOGEO REPORT · LITE

kkkunny/free-llm-collect

Default branch master · commit 90fbf87c · scanned 6/16/2026, 4:43:22 PM

GitHub: 503 stars · 21 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 kkkunny/free-llm-collect, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, large-language-models, free-api, api-collection, gpt, claude, bing-copilot, llama, gemini, awesome-list, ai
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the root of the repository to clearly state the project's licensing terms.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://github.com/kkkunny/free-llm-collect` or a dedicated project website if one exists.

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 kkkunny/free-llm-collect
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. Mistral AI · recommended 2×
  3. Hugging Face Transformers Library · recommended 1×
  4. Hugging Face Inference API · recommended 1×
  5. Google AI Studio · recommended 1×
  • CATEGORY QUERY
    How can I access various free large language model APIs for my applications?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. Hugging Face Inference API
    3. Google AI Studio
    4. Gemini API
    5. OpenAI API
    6. GPT-3.5 Turbo
    7. Meta Llama 2
    8. Llama 3
    9. llama.cpp
    10. vLLM
    11. Perplexity AI
    12. pplx-7b-online
    13. pplx-70b-online
    14. Mistral AI
    15. Mistral-7B-v0.1
    16. Mixtral-8x7B-v0.1

    AI recommended 16 alternatives but never named kkkunny/free-llm-collect. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a comprehensive list of free alternatives to paid AI model APIs for development.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Google's Gemini API
    3. OpenAI API
    4. Mistral AI
    5. Stable Diffusion (Stability-AI/StableDiffusion)
    6. Hugging Face Diffusers (huggingface/diffusers)
    7. Mozilla DeepSpeech (mozilla/DeepSpeech)
    8. Coqui TTS (coqui-ai/TTS)
    9. OpenCV (opencv/opencv)
    10. YOLO

    AI recommended 10 alternatives but never named kkkunny/free-llm-collect. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 kkkunny/free-llm-collect?
    pass
    AI did not name kkkunny/free-llm-collect — 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 kkkunny/free-llm-collect in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kkkunny/free-llm-collect 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 kkkunny/free-llm-collect solve, and who is the primary audience?
    pass
    AI named kkkunny/free-llm-collect explicitly

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

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kkkunny/free-llm-collect — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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