RRepoGEO

REPOGEO REPORT · LITE

CopilotKit/OpenGenerativeUI

Default branch main · commit 9fe093f3 · scanned 5/10/2026, 5:43:08 AM

GitHub: 1,270 stars · 163 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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/OpenGenerativeUI, 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 H1 and opening paragraph

    Why:

    CURRENT
    # Open Generative UI An open-source showcase for building rich, interactive AI-generated UI with CopilotKit and LangChain Deep Agents.
    COPY-PASTE FIX
    # Open Generative UI: The Framework for AI-Generated Interactive UI. Empower your AI agents to dynamically build and render rich, interactive user interfaces directly within any application, moving beyond text-only responses to deliver truly generative visual experiences.
  • mediumtopics#2
    Add more specific topics for AI-driven UI generation

    Why:

    CURRENT
    agent-native, agentic-ai, agentic-visualization, agents, ai-agents, ai-copilot, ai-visualization, assistant-chat-bots, copilot, generative-ui, javascript, llm, open-source, typescript, visualization
    COPY-PASTE FIX
    agent-native, agentic-ai, agentic-visualization, agents, ai-agents, ai-copilot, ai-visualization, assistant-chat-bots, copilot, generative-ui, javascript, llm, open-source, typescript, visualization, llm-ui-generation, ai-driven-ui, agent-ui-framework, generative-ai-ui
  • lowreadme#3
    Add a 'Why Open Generative UI?' comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Open Generative UI?
    Unlike dashboarding tools (Streamlit, Gradio) or general UI libraries (React, Vue.js) that require developers to pre-define UI structures, Open Generative UI empowers AI agents to dynamically *generate* and render interactive UI components from scratch, directly within your application. This enables truly adaptive and agent-driven user experiences.

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/OpenGenerativeUI
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gradio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Gradio · recommended 2×
  2. Streamlit · recommended 2×
  3. LangChain · recommended 1×
  4. React · recommended 1×
  5. Vue.js · recommended 1×
  • CATEGORY QUERY
    How can I build dynamic, interactive user interfaces using AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. React
    3. Vue.js
    4. Angular
    5. LlamaIndex
    6. Gradio
    7. Streamlit
    8. OpenAI Assistants API
    9. Microsoft Semantic Kernel
    10. ASP.NET Core Blazor

    AI recommended 10 alternatives but never named CopilotKit/OpenGenerativeUI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source frameworks enable AI agents to generate interactive visualizations and diagrams?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. Panel
    4. Dash
    5. Observable

    AI recommended 5 alternatives but never named CopilotKit/OpenGenerativeUI. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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/OpenGenerativeUI?
    pass
    AI named CopilotKit/OpenGenerativeUI explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts CopilotKit/OpenGenerativeUI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CopilotKit/OpenGenerativeUI 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/OpenGenerativeUI solve, and who is the primary audience?
    pass
    AI named CopilotKit/OpenGenerativeUI explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of CopilotKit/OpenGenerativeUI. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/CopilotKit/OpenGenerativeUI"><img src="https://repogeo.com/badge/CopilotKit/OpenGenerativeUI.svg" alt="RepoGEO" /></a>
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CopilotKit/OpenGenerativeUI — 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