RRepoGEO

REPOGEO REPORT · LITE

louisfb01/start-llms

Default branch main · commit 6ee9f8e3 · scanned 6/4/2026, 11:53:18 PM

GitHub: 966 stars · 125 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 louisfb01/start-llms, 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
    Emphasize 'structured learning path' or 'curriculum' in the README's opening

    Why:

    CURRENT
    ## A complete guide to start and improve your LLM skills in 2026 without an advanced background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
    COPY-PASTE FIX
    ## A complete, free, and open-source curriculum and structured learning path to start and improve your LLM skills in 2026 without an advanced background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
  • mediumabout#2
    Update the repository description to highlight its role as a learning curriculum

    Why:

    CURRENT
    A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
    COPY-PASTE FIX
    A complete, free, and open-source curriculum and structured learning path to start and improve your LLM skills in 2026, staying up-to-date with the latest news and state-of-the-art techniques, even with little background.
  • lowtopics#3
    Add topics related to learning, education, and curriculum

    Why:

    CURRENT
    ai, fine-tuning, gpt, gpt-4, language-model, large-language-models, llama, llm, llms, rag, retrieval-augmented-generation
    COPY-PASTE FIX
    ai, fine-tuning, gpt, gpt-4, language-model, large-language-models, llama, llm, llms, rag, retrieval-augmented-generation, learning-path, curriculum, education, llm-tutorial

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 louisfb01/start-llms
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
The Illustrated Transformer
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. The Illustrated Transformer · recommended 1×
  2. Deep Learning Book · recommended 1×
  3. Hugging Face Course · recommended 1×
  4. CS224N: Natural Language Processing with Deep Learning · recommended 1×
  5. Practical Deep Learning for Coders · recommended 1×
  • CATEGORY QUERY
    What are the best resources to learn large language models from scratch?
    you: not recommended
    AI recommended (in order):
    1. The Illustrated Transformer
    2. Deep Learning Book
    3. Hugging Face Course
    4. CS224N: Natural Language Processing with Deep Learning
    5. Practical Deep Learning for Coders
    6. Attention Is All You Need
    7. Large Language Models (YouTube Series)

    AI recommended 7 alternatives but never named louisfb01/start-llms. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I stay updated on advanced large language model development techniques and best practices?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Hugging Face Blog and Forums
    3. Papers With Code
    4. DeepLearning.AI Courses
    5. Google AI Blog
    6. OpenAI Blog
    7. Twitter (now X)
    8. LinkedIn
    9. The Gradient
    10. Towards Data Science

    AI recommended 10 alternatives but never named louisfb01/start-llms. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 louisfb01/start-llms?
    pass
    AI did not name louisfb01/start-llms — 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 louisfb01/start-llms in production, what risks or prerequisites should they evaluate first?
    pass
    AI named louisfb01/start-llms 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 louisfb01/start-llms solve, and who is the primary audience?
    pass
    AI named louisfb01/start-llms explicitly

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

Embed your GEO score

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