RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/lca-lc-foundations

Default branch main · commit f9186482 · scanned 6/19/2026, 9:57:46 AM

GitHub: 502 stars · 359 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 langchain-ai/lca-lc-foundations, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a clear, concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    Companion repository for the LangChain Academy 'Introduction to LangChain' course, providing code examples and exercises for learning to build generative AI applications with Python.
  • mediumhomepage#2
    Add the official course URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://[INSERT_LANGCHAIN_ACADEMY_COURSE_URL_HERE]

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 langchain-ai/lca-lc-foundations
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. Hugging Face Transformers · recommended 1×
  3. PyTorch · recommended 1×
  4. TensorFlow · recommended 1×
  5. Keras · recommended 1×
  • CATEGORY QUERY
    How to begin developing generative AI applications using Python programming language?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch
    3. TensorFlow
    4. Keras
    5. LangChain
    6. Diffusers
    7. OpenAI API
    8. openai Python library
    9. Gradio
    10. Streamlit

    AI recommended 10 alternatives but never named langchain-ai/lca-lc-foundations. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to build complex LLM chains and agent systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. CrewAI
    5. AutoGen

    AI recommended 5 alternatives but never named langchain-ai/lca-lc-foundations. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 langchain-ai/lca-lc-foundations?
    pass
    AI named langchain-ai/lca-lc-foundations explicitly

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

  • If a team adopts langchain-ai/lca-lc-foundations in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/lca-lc-foundations 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 langchain-ai/lca-lc-foundations solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/lca-lc-foundations — 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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langchain-ai/lca-lc-foundations — 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
langchain-ai/lca-lc-foundations — RepoGEO report