RRepoGEO

REPOGEO REPORT · LITE

MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials

Default branch main · commit 94acab92 · scanned 6/4/2026, 8:52:57 AM

GitHub: 2,669 stars · 585 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 MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials, 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 clarify its purpose as a tutorial collection

    Why:

    CURRENT
    ### Agentic AI and Agents Tutorials/Implementations and Notebooks

▶ An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls Codes Tutorial
    COPY-PASTE FIX
    ### Agentic AI and Agents Tutorials/Implementations and Notebooks

This repository provides a comprehensive collection of hands-on tutorials, implementations, and notebooks for building and understanding advanced AI agent systems, focusing on robust planning, memory, and governance capabilities.

▶ An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls Codes Tutorial
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clearly state the terms of use for the code and content.
  • mediumtopics#3
    Add more specific topics to highlight the repository's educational nature

    Why:

    CURRENT
    agent-skills, agentic-ai, agentic-ai-development, agentic-coding, agentic-engineering, agentic-framework, agentic-rag, agentic-workflow, ai, aiagent, aiagents
    COPY-PASTE FIX
    ai-tutorials, ai-projects, agent-development-tutorials, learning-ai, multi-agent-systems, agent-skills, agentic-ai, agentic-ai-development, agentic-coding, agentic-engineering, agentic-framework, agentic-rag, agentic-workflow, ai, aiagent, aiagents

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 MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. AutoGPT / BabyAGI · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to build AI agents with robust planning, memory, and governance capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT / BabyAGI
    5. OpenAI API
    6. Weaviate / Pinecone / Qdrant
    7. Neo4j

    AI recommended 7 alternatives but never named MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for developing multi-agent systems with complex reasoning loops?
    you: not recommended
    AI recommended (in order):
    1. Mesa (projectmesa/mesa)
    2. SPADE (spade-foundation/spade)
    3. JADE (jade-project/jade)
    4. NetLogo (NetLogo/NetLogo)
    5. GAMA Platform (gama-platform/gama)
    6. Pyro (irmen/Pyro5)
    7. Akka (akka/akka)

    AI recommended 7 alternatives but never named MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials. 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 MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials?
    pass
    AI did not name MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials — 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 MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials 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 MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials solve, and who is the primary audience?
    pass
    AI did not name MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials — 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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MARKTECHPOST-AI-MEDIA-INC/AI-Agents-Projects-Tutorials — 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