RRepoGEO

REPOGEO REPORT · LITE

Mathews-Tom/Agentic-Design-Patterns

Default branch main · commit 567b0916 · scanned 5/23/2026, 6:47:46 AM

GitHub: 1,698 stars · 303 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 Mathews-Tom/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 relevant topics to categorize the repository

    Why:

    COPY-PASTE FIX
    agentic-ai, design-patterns, ai-agents, artificial-intelligence, llm, large-language-models, software-architecture, book, guide, resource
  • highreadme#2
    Clarify the README's opening sentence to emphasize it's a book/resource

    Why:

    CURRENT
    # Agentic Design Patterns

This repository contains the full text of the book "Agentic Design Patterns" by Antonio Gulli and Mauro Sauco. The content has been compiled and organized by Tom Mathews  for easy access and reference for the community.
    COPY-PASTE FIX
    # Agentic Design Patterns

This repository serves as the official, community-compiled resource for the full text of the book "Agentic Design Patterns" by Antonio Gulli and Mauro Sauco. It provides easy access and reference for the community to this essential guide.
  • mediumhomepage#3
    Add a homepage URL for the book or project

    Why:

    COPY-PASTE FIX
    https://[link-to-the-book's-official-page-or-a-dedicated-project-site]

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 Mathews-Tom/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-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. Significant-Gravitas/AutoGPT · recommended 1×
  4. yoheinakajima/babyagi · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How to design and implement robust, autonomous AI agents effectively?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. BabyAGI (yoheinakajima/babyagi)
    5. Haystack (deepset-ai/haystack)
    6. OpenAI Assistants API
    7. Microsoft AutoGen (microsoft/autogen)

    AI recommended 7 alternatives but never named Mathews-Tom/Agentic-Design-Patterns. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are essential design patterns for building advanced AI systems with practical code?
    you: not recommended
    AI recommended (in order):
    1. Django
    2. Ruby on Rails
    3. PyQt/PySide
    4. Qt Designer
    5. React
    6. Redux
    7. MobX
    8. Flask
    9. Scikit-learn
    10. TensorFlow
    11. PyTorch
    12. Hugging Face Transformers
    13. Keras
    14. TensorBoard
    15. Weights & Biases
    16. PyTorch Lightning
    17. FastAPI
    18. MLflow
    19. Prefect
    20. Apache Airflow

    AI recommended 20 alternatives but never named Mathews-Tom/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 Mathews-Tom/Agentic-Design-Patterns?
    pass
    AI named Mathews-Tom/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 Mathews-Tom/Agentic-Design-Patterns in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Mathews-Tom/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?

  • In one sentence, what problem does the repo Mathews-Tom/Agentic-Design-Patterns solve, and who is the primary audience?
    pass
    AI did not name Mathews-Tom/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?

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Mathews-Tom/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