RRepoGEO

REPOGEO REPORT · LITE

bhancockio/langchain-crash-course

Default branch main · commit 1cacb2d4 · scanned 6/13/2026, 7:37:39 AM

GitHub: 958 stars · 775 forks

AI VISIBILITY SCORE
17 /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
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 bhancockio/langchain-crash-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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A comprehensive crash course with code examples for beginners to learn LangChain, build RAG chatbots, and create AI agents.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["langchain", "llm", "rag", "ai-agents", "tutorial", "crash-course", "python", "generative-ai", "machine-learning"]
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard 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 bhancockio/langchain-crash-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. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. openai/openai-python · recommended 1×
  • CATEGORY QUERY
    How to build AI chatbots with retrieval augmentation and autonomous agents using Python?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. OpenAI Python Library (openai/openai-python)
    6. Faiss (facebookresearch/faiss)
    7. Hugging Face Transformers (huggingface/transformers)

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

    Show full AI answer
  • CATEGORY QUERY
    What are good Python frameworks for developing large language model applications and AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Python Library
    5. Hugging Face Transformers
    6. FastAPI
    7. Instructor

    AI recommended 7 alternatives but never named bhancockio/langchain-crash-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
    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 bhancockio/langchain-crash-course?
    pass
    AI did not name bhancockio/langchain-crash-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 bhancockio/langchain-crash-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bhancockio/langchain-crash-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 bhancockio/langchain-crash-course solve, and who is the primary audience?
    pass
    AI did not name bhancockio/langchain-crash-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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bhancockio/langchain-crash-course — 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