RRepoGEO

REPOGEO REPORT · LITE

CopilotKit/open-multi-agent-canvas

Default branch main · commit 25f20b22 · scanned 6/7/2026, 2:42:39 PM

GitHub: 501 stars · 76 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 CopilotKit/open-multi-agent-canvas, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#2
    Strengthen README's opening sentence to highlight core value

    Why:

    CURRENT
    Open Multi-Agent Canvas, created by CopilotKit is an open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation. It's built with Next.js, LangGraph, and CopilotKit to help with travel planning, research, and general-purpose tasks through MCP servers.
    COPY-PASTE FIX
    Open Multi-Agent Canvas by CopilotKit is the definitive open-source multi-agent **visual chat interface** for orchestrating and managing multiple AI agents in a single dynamic conversation. Built with Next.js, LangGraph, and CopilotKit, it uniquely supports deep research and general-purpose tasks via **Multi-Channel Protocol (MCP) servers**.
  • mediumtopics#3
    Expand topics to include 'visual' and 'orchestration' keywords

    Why:

    CURRENT
    ai-agents, copilotkit, mcp-client, multi-agent, open-canvas, python, typescript
    COPY-PASTE FIX
    ai-agents, copilotkit, mcp-client, multi-agent, open-canvas, python, typescript, **ai-orchestration, multi-agent-system, visual-interface, agent-canvas**

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 CopilotKit/open-multi-agent-canvas
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. Microsoft Semantic Kernel · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I manage multiple AI agents within a single dynamic chat interface?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. Haystack
    4. OpenAI Assistants API
    5. LlamaIndex
    6. RabbitMQ
    7. Apache Kafka
    8. Botpress

    AI recommended 8 alternatives but never named CopilotKit/open-multi-agent-canvas. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools facilitate deep AI research using multi-channel protocol servers?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow (tensorflow/tensorflow)
    2. TensorFlow Serving (tensorflow/serving)
    3. PyTorch (pytorch/pytorch)
    4. TorchServe (pytorch/serve)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. OpenVINO Toolkit (openvinotoolkit/openvino)
    7. KServe (kserve/kserve)
    8. FastAPI (tiangolo/fastapi)

    AI recommended 8 alternatives but never named CopilotKit/open-multi-agent-canvas. 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 CopilotKit/open-multi-agent-canvas?
    pass
    AI did not name CopilotKit/open-multi-agent-canvas — 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 CopilotKit/open-multi-agent-canvas in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CopilotKit/open-multi-agent-canvas 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 CopilotKit/open-multi-agent-canvas solve, and who is the primary audience?
    pass
    AI named CopilotKit/open-multi-agent-canvas explicitly

    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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  • Brand-free category queries5 vs 2 in Lite
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