RRepoGEO

REPOGEO REPORT · LITE

12britz/awesome-free-models

Default branch main · commit 937061d1 · scanned 6/20/2026, 7:43:08 PM

GitHub: 682 stars · 44 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 12britz/awesome-free-models, 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
    ["ai", "machine-learning", "free-ai-models", "awesome-list", "open-source-ai", "llm", "generative-ai", "api", "local-inference"]
  • highreadme#2
    Reinforce 'AI models' and 'curated list' in the README's opening paragraph

    Why:

    CURRENT
    Running AI shouldn't require a credit card. This list curates genuinely free models — open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.
    COPY-PASTE FIX
    Running AI shouldn't require a credit card. This awesome list specifically curates genuinely free **Artificial Intelligence** models — including open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.
  • mediumreadme#3
    Add a clear statement about the repository's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [Specify License Name(s) Here, e.g., "a custom license combining MIT and Apache 2.0"]. Please refer to the [LICENSE](LICENSE) file for full details.

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 12britz/awesome-free-models
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 2×
  2. tensorflow/tensorflow · recommended 2×
  3. pytorch/pytorch · recommended 2×
  4. Google Colaboratory (Colab) · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    Where can I find no-cost AI models and APIs for my development projects?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers & Hub (huggingface/transformers)
    2. Google Colaboratory (Colab)
    3. TensorFlow (tensorflow/tensorflow)
    4. PyTorch (pytorch/pytorch)
    5. OpenAI API
    6. GPT-3.5 Turbo
    7. DALL-E
    8. Cohere
    9. Microsoft Azure AI
    10. Cognitive Services
    11. Azure OpenAI Service
    12. AWS Free Tier
    13. Amazon Rekognition
    14. Amazon Comprehend
    15. Amazon Polly
    16. Meta AI
    17. Llama 2 (facebookresearch/llama)

    AI recommended 17 alternatives but never named 12britz/awesome-free-models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source or free tools exist to run AI models locally without cloud costs?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. Jan (janhq/jan)
    4. llama.cpp (ggerganov/llama.cpp)
    5. Hugging Face Transformers (huggingface/transformers)
    6. TensorFlow Lite (tensorflow/tensorflow)
    7. PyTorch Mobile (pytorch/pytorch)
    8. Automatic1111 web UI (AUTOMATIC1111/stable-diffusion-webui)
    9. ComfyUI (comfyanonymous/ComfyUI)

    AI recommended 9 alternatives but never named 12britz/awesome-free-models. 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 12britz/awesome-free-models?
    pass
    AI named 12britz/awesome-free-models explicitly

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

  • If a team adopts 12britz/awesome-free-models in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 12britz/awesome-free-models 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 12britz/awesome-free-models solve, and who is the primary audience?
    pass
    AI did not name 12britz/awesome-free-models — 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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12britz/awesome-free-models — 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