RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langchain-academy

Default branch main · commit a56e984d · scanned 5/24/2026, 3:57:55 AM

GitHub: 2,636 stars · 1,717 forks

AI VISIBILITY SCORE
10 /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
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 langchain-ai/langchain-academy, 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
  • highabout#1
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    Official educational modules from LangChain AI, focusing on foundational concepts and practical application development within the LangChain ecosystem, especially LangGraph.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["langchain", "langgraph", "llm", "ai-agents", "education", "tutorial", "python", "generative-ai"]
  • highlicense#3
    Create a LICENSE file for the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0) to clarify usage rights.

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/langchain-academy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMind
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMind · recommended 1×
  2. Stanford's CS224W · recommended 1×
  3. PyTorch Geometric (PyG) · recommended 1×
  4. Graph Neural Networks: Foundations, Frontiers, and Applications · recommended 1×
  5. Relational Inductive Biases, Deep Learning, and Graph Networks · recommended 1×
  • CATEGORY QUERY
    Looking for educational resources to build sophisticated AI agents using a graph architecture.
    you: not recommended
    AI recommended (in order):
    1. DeepMind
    2. Stanford's CS224W
    3. PyTorch Geometric (PyG)
    4. Graph Neural Networks: Foundations, Frontiers, and Applications
    5. Relational Inductive Biases, Deep Learning, and Graph Networks
    6. DGL (Deep Graph Library)
    7. Graph Representation Learning

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

    Show full AI answer
  • CATEGORY QUERY
    Need a comprehensive guide for developing robust applications with large language models.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Hugging Face Datasets
    5. OpenAI API
    6. Azure OpenAI Service
    7. Weights & Biases (W&B)
    8. FastAPI
    9. Docker
    10. Kubernetes
    11. AWS EKS
    12. Google GKE
    13. Azure AKS

    AI recommended 13 alternatives but never named langchain-ai/langchain-academy. 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/langchain-academy?
    pass
    AI did not name langchain-ai/langchain-academy — 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 langchain-ai/langchain-academy in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name langchain-ai/langchain-academy — 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 langchain-ai/langchain-academy solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/langchain-academy — 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?

Embed your GEO score

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MARKDOWN (README)
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langchain-ai/langchain-academy — 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