RRepoGEO

REPOGEO REPORT · LITE

decodingai-magazine/second-brain-ai-assistant-course

Default branch main · commit 17ccef57 · scanned 6/28/2026, 3:23:09 AM

GitHub: 2,807 stars · 495 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
20 /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
0 / 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/second-brain-ai-assistant-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
  • highreadme#1
    Reposition the README H1 to clearly state it's a course

    Why:

    CURRENT
    <h1>Building Your Second Brain AI Assistant Using Agents, LLMs and RAG</h1>
    COPY-PASTE FIX
    <h1>Course: Building Your Second Brain AI Assistant Using Agents, LLMs and RAG</h1>
  • mediumtopics#2
    Add "course" and "tutorial" to the repository topics

    Why:

    CURRENT
    agents, ai-systems, data-engineering, fine-tuning, huggingface, llm, llmops, mlops, openai, python, rag
    COPY-PASTE FIX
    agents, ai-systems, data-engineering, fine-tuning, huggingface, llm, llmops, mlops, openai, python, rag, course, tutorial
  • mediumreadme#3
    Add a direct introductory sentence to the README

    Why:

    COPY-PASTE FIX
    This repository provides a comprehensive, hands-on course to guide you through building a production-ready Second Brain AI assistant.

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/second-brain-ai-assistant-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. OpenAI · recommended 1×
  3. Anthropic · recommended 1×
  4. Google · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    How can I build a personal AI assistant using RAG and large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI
    3. Anthropic
    4. Google
    5. Hugging Face
    6. Chroma (chroma-core/chroma)
    7. Pinecone
    8. FAISS (facebookresearch/faiss)
    9. Weaviate (weaviate/weaviate)
    10. Qdrant (qdrant/qdrant)
    11. LlamaIndex (run-llama/llama_index)
    12. Haystack (deepset-ai/haystack)
    13. Elasticsearch (elastic/elasticsearch)
    14. OpenSearch (opensearch-project/OpenSearch)
    15. PyPDF2 (py-pdf/pypdf)
    16. BeautifulSoup (crummy/BeautifulSoup4)
    17. NLTK (nltk/nltk)
    18. spaCy (explosion/spaCy)

    AI recommended 18 alternatives but never named decodingai-magazine/second-brain-ai-assistant-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a guide to implement production-ready generative AI systems with LLMOps.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. MLflow
    3. Hugging Face Transformers
    4. Hugging Face Datasets
    5. Weights & Biases (W&B)
    6. Kubeflow
    7. Ray
    8. Arize AI
    9. WhyLabs

    AI recommended 9 alternatives but never named decodingai-magazine/second-brain-ai-assistant-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
    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 decodingai-magazine/second-brain-ai-assistant-course?
    pass
    AI did not name decodingai-magazine/second-brain-ai-assistant-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/second-brain-ai-assistant-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name decodingai-magazine/second-brain-ai-assistant-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?

  • In one sentence, what problem does the repo decodingai-magazine/second-brain-ai-assistant-course solve, and who is the primary audience?
    pass
    AI did not name decodingai-magazine/second-brain-ai-assistant-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?

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