RRepoGEO

REPOGEO REPORT · LITE

xindoo/agentic-design-patterns

Default branch main · commit 415e5ba6 · scanned 5/16/2026, 3:02:01 AM

GitHub: 4,824 stars · 692 forks

AI VISIBILITY SCORE
28 /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
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 xindoo/agentic-design-patterns, 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 the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    agentic-ai, design-patterns, ai-agents, llm-agents, translation, google-book, ai-architecture, prompt-engineering, large-language-models
  • highlicense#2
    Add a standard open-source LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the MIT License.
  • highreadme#3
    Reposition README's opening to emphasize official translation status

    Why:

    CURRENT
    # Agentic Design Patterns（中文翻译项目）

本项目是《Agentic Design Patterns》一书的中文翻译项目。
    COPY-PASTE FIX
    # Agentic Design Patterns (Google Book Official Chinese Translation Project)

本项目是谷歌新书《Agentic Design Patterns》的官方中文翻译项目，系统介绍了 AI Agent 系统的各种设计模式。

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 xindoo/agentic-design-patterns
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. LlamaIndex · recommended 2×
  3. Designing Autonomous Agents · recommended 1×
  4. Reinforcement Learning: An Introduction · recommended 1×
  5. OpenAI Gym · recommended 1×
  • CATEGORY QUERY
    How can I learn to design robust AI agent systems effectively?
    you: not recommended
    AI recommended (in order):
    1. Designing Autonomous Agents
    2. Reinforcement Learning: An Introduction
    3. OpenAI Gym
    4. Stable Baselines3
    5. Artificial Intelligence: A Modern Approach
    6. LangChain
    7. LlamaIndex
    8. Unity ML-Agents Toolkit

    AI recommended 8 alternatives but never named xindoo/agentic-design-patterns. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are common architectural patterns for developing autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym/Farama Gymnasium
    2. ROS (Robot Operating System)
    3. LangChain
    4. LlamaIndex
    5. PyTorch
    6. TensorFlow
    7. MoveIt
    8. AnyLogic
    9. Unity ML-Agents
    10. Apache Kafka
    11. Redis
    12. JADE (Java Agent Development Framework)
    13. SPADE (Smart Python Agent Development Environment)
    14. Mesa

    AI recommended 14 alternatives but never named xindoo/agentic-design-patterns. 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 xindoo/agentic-design-patterns?
    pass
    AI named xindoo/agentic-design-patterns explicitly

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

  • If a team adopts xindoo/agentic-design-patterns in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xindoo/agentic-design-patterns 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 xindoo/agentic-design-patterns solve, and who is the primary audience?
    pass
    AI did not name xindoo/agentic-design-patterns — 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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xindoo/agentic-design-patterns — 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