RRepoGEO

REPOGEO REPORT · LITE

AIGeniusInstitute/AI-Agent-In-Action

Default branch main · commit 3042901f · scanned 5/25/2026, 12:59:18 AM

GitHub: 1,107 stars · 173 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 AIGeniusInstitute/AI-Agent-In-Action, 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 English topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agent, artificial-intelligence, machine-learning, deep-learning, reinforcement-learning, robotics, game-ai, autonomous-agents, ai-development, practical-guide, book, examples
  • highreadme#2
    Add a concise English summary paragraph after the English subtitle

    Why:

    COPY-PASTE FIX
    This repository serves as the official companion for the book "AI Agent In Action" (《AI Agent 开发实战》), authored by Chen Guangjian and published by AI Genius Institute in 2024. It provides a comprehensive, practical guide and code examples for developing AI Agents, covering foundational theories, core technologies, design processes, and advanced topics across various application domains like dialogue systems, game AI, robotics, and autonomous driving. It's suitable for both beginners and experienced AI developers.
  • mediumhomepage#3
    Add a homepage URL if an official book or institute page exists

    Why:

    COPY-PASTE FIX
    [Insert official book or institute homepage URL here, e.g., https://aigeniusinstitute.com/ai-agent-in-action]

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 AIGeniusInstitute/AI-Agent-In-Action
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. Artificial Intelligence: A Modern Approach · recommended 1×
  3. Reinforcement Learning: An Introduction · recommended 1×
  4. Probabilistic Robotics · recommended 1×
  5. Designing Autonomous Agents: Theory and Practice from Biology to Engineering · recommended 1×
  • CATEGORY QUERY
    Looking for a comprehensive guide to building intelligent autonomous agents from scratch.
    you: not recommended
    AI recommended (in order):
    1. Artificial Intelligence: A Modern Approach
    2. Reinforcement Learning: An Introduction
    3. Probabilistic Robotics
    4. Designing Autonomous Agents: Theory and Practice from Biology to Engineering
    5. Coursera
    6. AI for Everyone
    7. Udacity
    8. AI for Robotics
    9. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    10. Scikit-Learn
    11. Keras
    12. TensorFlow
    13. Robot Operating System (ROS)

    AI recommended 13 alternatives but never named AIGeniusInstitute/AI-Agent-In-Action. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical examples and frameworks for developing AI agents in robotics or games.
    you: not recommended
    AI recommended (in order):
    1. Unity ML-Agents
    2. OpenAI Gym
    3. Gymnasium
    4. ROS (Robot Operating System)
    5. MoveIt!
    6. Gazebo
    7. DeepMind Lab
    8. PyBullet
    9. Unreal Engine
    10. AirSim
    11. NVIDIA Isaac Sim
    12. NVIDIA Omniverse
    13. TensorFlow
    14. PyTorch

    AI recommended 14 alternatives but never named AIGeniusInstitute/AI-Agent-In-Action. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 AIGeniusInstitute/AI-Agent-In-Action?
    pass
    AI did not name AIGeniusInstitute/AI-Agent-In-Action — 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 AIGeniusInstitute/AI-Agent-In-Action in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AIGeniusInstitute/AI-Agent-In-Action 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 AIGeniusInstitute/AI-Agent-In-Action solve, and who is the primary audience?
    pass
    AI did not name AIGeniusInstitute/AI-Agent-In-Action — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite