RRepoGEO

REPOGEO REPORT · LITE

iamvaibhavmehra/LangGraph-Course-freeCodeCamp

Default branch main · commit 9f172bf8 · scanned 5/30/2026, 10:22:36 PM

GitHub: 771 stars · 290 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 iamvaibhavmehra/LangGraph-Course-freeCodeCamp, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["langgraph", "freecodecamp", "ai-agents", "python-course", "generative-ai", "llm-agents", "agent-orchestration", "learning-resource"]
  • highlicense#2
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, using the MIT License template, to clearly state the terms of use for the course materials.
  • mediumreadme#3
    Reposition the README's opening sentence to emphasize 'course'

    Why:

    CURRENT
    Repository for all of the code written for the FreeCodeCamp LangGraph Course, including solutions for all exercises. This repo provides practical examples of using LangGraph for building agent-based applications through Python scripts and interactive Jupyter notebooks.
    COPY-PASTE FIX
    This repository serves as the official code companion for the FreeCodeCamp LangGraph Course, providing all code examples and solutions for exercises. It's designed as a comprehensive learning resource for building agent-based applications with LangGraph using Python scripts and Jupyter notebooks.

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 iamvaibhavmehra/LangGraph-Course-freeCodeCamp
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. Haystack · recommended 2×
  3. LlamaIndex · recommended 2×
  4. Marvin · recommended 1×
  5. Prefect · recommended 1×
  • CATEGORY QUERY
    Seeking Python framework for orchestrating AI agent workflows with directed graphs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Haystack
    3. LlamaIndex
    4. Marvin
    5. Prefect
    6. Apache Airflow

    AI recommended 6 alternatives but never named iamvaibhavmehra/LangGraph-Course-freeCodeCamp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to learn building complex AI agent applications with step-by-step examples?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Haystack
    6. OpenAI Assistants API
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named iamvaibhavmehra/LangGraph-Course-freeCodeCamp. 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 iamvaibhavmehra/LangGraph-Course-freeCodeCamp?
    pass
    AI did not name iamvaibhavmehra/LangGraph-Course-freeCodeCamp — 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 iamvaibhavmehra/LangGraph-Course-freeCodeCamp in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name iamvaibhavmehra/LangGraph-Course-freeCodeCamp — 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 iamvaibhavmehra/LangGraph-Course-freeCodeCamp solve, and who is the primary audience?
    pass
    AI did not name iamvaibhavmehra/LangGraph-Course-freeCodeCamp — 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

Drop this badge into the README of iamvaibhavmehra/LangGraph-Course-freeCodeCamp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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iamvaibhavmehra/LangGraph-Course-freeCodeCamp — 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