RRepoGEO

REPOGEO REPORT · LITE

PacktPublishing/Building-Agentic-AI-Systems

Default branch main · commit 43259fcb · scanned 6/26/2026, 2:42:52 PM

GitHub: 503 stars · 244 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 PacktPublishing/Building-Agentic-AI-Systems, 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
  • highreadme#1
    Reposition the README's opening to emphasize the code's utility

    Why:

    CURRENT
    Building Agentic AI Systems, First Edition
This is the code repository for Building Agentic AI Systems, First Edition, published by Packt.
    COPY-PASTE FIX
    # Building Agentic AI Systems: Practical Code Examples
This repository provides practical, runnable code examples for building intelligent, autonomous AI agents that can reason, plan, and adapt. It serves as the official companion code for the book *Building Agentic AI Systems, First Edition* by Anjanava Biswas and Wrick Talukdar, published by Packt.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, agentic-ai, generative-ai, genai, autonomous-agents, ai-systems, machine-learning, python
  • mediumabout#3
    Add the book's product page as the repository homepage

    Why:

    COPY-PASTE FIX
    https://www.packtpub.com/en-us/product/building-agentic-ai-systems-first-edition-9781803238753

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 PacktPublishing/Building-Agentic-AI-Systems
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. Haystack · recommended 1×
  4. OpenAI API · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    How to create intelligent, autonomous AI agents that can reason and plan?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. PyTorch
    6. TensorFlow
    7. Stable Baselines3
    8. Ray RLlib
    9. GPyRo

    AI recommended 9 alternatives but never named PacktPublishing/Building-Agentic-AI-Systems. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for resources to design and implement robust agentic AI systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Microsoft's Guidance
    6. OpenAI Function Calling
    7. Hugging Face Transformers Agents

    AI recommended 7 alternatives but never named PacktPublishing/Building-Agentic-AI-Systems. 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 PacktPublishing/Building-Agentic-AI-Systems?
    pass
    AI did not name PacktPublishing/Building-Agentic-AI-Systems — 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 PacktPublishing/Building-Agentic-AI-Systems in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PacktPublishing/Building-Agentic-AI-Systems 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 PacktPublishing/Building-Agentic-AI-Systems solve, and who is the primary audience?
    pass
    AI did not name PacktPublishing/Building-Agentic-AI-Systems — 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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