RRepoGEO

REPOGEO REPORT · LITE

microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator

Default branch main · commit 22aa3544 · scanned 5/29/2026, 2:06:36 PM

GitHub: 828 stars · 678 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 microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator, 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 paragraph to highlight its core differentiator

    Why:

    CURRENT
    Welcome to the *Multi-Agent Custom Automation Engine* solution accelerator, designed to help businesses leverage AI agents for automating complex organizational tasks. This accelerator provides a foundation for building AI-driven orchestration systems that can coordinate multiple specialized agents to accomplish various business processes.
    COPY-PASTE FIX
    The Multi-Agent Custom Automation Engine Solution Accelerator is an **Azure-native, enterprise-grade reference architecture** for building and orchestrating custom multi-agent AI systems. It provides a robust foundation for automating complex organizational tasks, leveraging Microsoft Agent Framework and Azure services to coordinate specialized AI agents.
  • hightopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai-azd-templates, azd-templates
    COPY-PASTE FIX
    ai-azd-templates, azd-templates, multi-agent-system, ai-orchestration, enterprise-ai, solution-accelerator, reference-architecture, azure-ai, agent-framework, automation-engine
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://[your-solution-documentation-or-overview-page]

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 microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator
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. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I build an AI system to automate complex organizational tasks using multiple specialized agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. BabyAGI / Auto-GPT

    AI recommended 6 alternatives but never named microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a reference architecture to orchestrate multiple AI agents for business process automation.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. FastAPI
    3. Django
    4. Kubernetes
    5. Microsoft Azure AI Studio
    6. Azure Machine Learning
    7. Azure Logic Apps
    8. Azure Durable Functions
    9. AWS Step Functions
    10. AWS Lambda
    11. Amazon SageMaker
    12. Google Cloud Workflows
    13. Google Cloud Functions
    14. Vertex AI
    15. Apache Airflow
    16. Camunda Platform
    17. Activiti
    18. Flowable

    AI recommended 18 alternatives but never named microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator. 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 microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator?
    pass
    AI did not name microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator — 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 microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator 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 microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator solve, and who is the primary audience?
    pass
    AI did not name microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator — 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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MARKDOWN (README)
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microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite