RRepoGEO

REPOGEO REPORT · LITE

decodingai-magazine/llm-twin-course

Default branch main · commit 04e12f37 · scanned 5/8/2026, 9:48:18 PM

GitHub: 4,334 stars · 723 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 decodingai-magazine/llm-twin-course, 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 more learning-focused topics

    Why:

    CURRENT
    aws, bytewax, comet-ml, course, docker, generative-ai, infrastructure-as-code, large-language-models, llmops, machine-learning-engineering, ml-system-design, mlops, pulumi, qdrant, qwak, rag, superlinked
    COPY-PASTE FIX
    aws, bytewax, comet-ml, course, docker, education, generative-ai, infrastructure-as-code, large-language-models, learning-path, llmops, machine-learning-engineering, ml-system-design, mlops, pulumi, qdrant, qwak, rag, superlinked, tutorial
  • mediumabout#2
    Incorporate 'LLM Twin' into the repository description

    Why:

    CURRENT
    🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
    COPY-PASTE FIX
    🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 your own 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 𝗧𝘄𝗶𝗻 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝗮𝗻𝗱𝘀-𝗼𝗻 𝗹𝗲𝘀𝘀𝗼𝗻𝘀
  • lowhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://decodingai.com

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 decodingai-magazine/llm-twin-course
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. mlflow/mlflow · recommended 1×
  3. Azure Machine Learning · recommended 1×
  4. AWS SageMaker · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How can I learn to build and deploy a production-ready RAG system with LLMOps?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. MLflow (mlflow/mlflow)
    3. Azure Machine Learning
    4. AWS SageMaker
    5. LlamaIndex (run-llama/llama_index)
    6. Weights & Biases (wandb/wandb)
    7. Google Cloud Vertex AI
    8. Haystack (deepset-ai/haystack)
    9. DVC (iterative/dvc)
    10. Kubeflow (kubeflow/kubeflow)
    11. Faiss (facebookresearch/faiss)
    12. Sentence Transformers (UKP-LAB/sentence-transformers)
    13. FastAPI (tiangolo/fastapi)
    14. Prometheus (prometheus/prometheus)
    15. Grafana (grafana/grafana)
    16. Docker (moby/moby)
    17. Kubernetes (kubernetes/kubernetes)
    18. Gradio (gradio-app/gradio)
    19. Streamlit (streamlit/streamlit)

    AI recommended 19 alternatives but never named decodingai-magazine/llm-twin-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a free hands-on course to implement end-to-end generative AI systems.
    you: not recommended
    AI recommended (in order):
    1. Generative AI with Large Language Models
    2. Natural Language Processing Course
    3. Hugging Face Transformers library
    4. Generative AI Learning Path
    5. Vertex AI
    6. PaLM API
    7. Gemini API
    8. LangChain for LLM Application Development
    9. LangChain
    10. Building Systems with the ChatGPT API
    11. ChatGPT API
    12. OpenAI
    13. Practical Deep Learning for Coders

    AI recommended 13 alternatives but never named decodingai-magazine/llm-twin-course. 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 decodingai-magazine/llm-twin-course?
    pass
    AI did not name decodingai-magazine/llm-twin-course — 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 decodingai-magazine/llm-twin-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named decodingai-magazine/llm-twin-course 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 decodingai-magazine/llm-twin-course solve, and who is the primary audience?
    pass
    AI named decodingai-magazine/llm-twin-course explicitly

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

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decodingai-magazine/llm-twin-course — 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