RRepoGEO

REPOGEO REPORT · LITE

emarco177/langchain-course

Default branch main · commit 5df9a3fe · scanned 5/12/2026, 9:52:26 PM

GitHub: 1,391 stars · 2,571 forks

AI VISIBILITY SCORE
27 /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
1 / 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 emarco177/langchain-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 explicitly state it's a course

    Why:

    CURRENT
    # LangChain- Develop AI Agents with LangChain & LangGraph 🦜🔗
    COPY-PASTE FIX
    # LangChain Course: Develop AI Agents with LangChain & LangGraph 🦜🔗
  • mediumtopics#2
    Add learning-specific topics to clarify resource type

    Why:

    CURRENT
    agents, langchain, langgraph, langsmith, python, rag
    COPY-PASTE FIX
    agents, langchain, langgraph, langsmith, python, rag, course, tutorial, learning-path
  • lowabout#3
    Slightly rephrase the 'About' description to emphasize learning intent

    Why:

    CURRENT
    A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
    COPY-PASTE FIX
    A comprehensive, project-based course repository for learning to develop AI agents using LangChain v1+ and LangGraph, covering search agents, RAG systems, reflection agents, and code interpreters.

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 emarco177/langchain-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 1×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to build advanced AI agents using Python for real-world applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. OpenAI Assistants API
    7. Transformers Agents

    AI recommended 7 alternatives but never named emarco177/langchain-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need to learn developing RAG systems and complex agentic workflows with open-source tools.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset/Haystack)
    4. AutoGen (microsoft/autogen)
    5. RAGatouille

    AI recommended 5 alternatives but never named emarco177/langchain-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 emarco177/langchain-course?
    pass
    AI did not name emarco177/langchain-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 emarco177/langchain-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named emarco177/langchain-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 emarco177/langchain-course solve, and who is the primary audience?
    pass
    AI did not name emarco177/langchain-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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emarco177/langchain-course — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite