RRepoGEO

REPOGEO REPORT · LITE

CopilotKit/OpenGenerativeUI

Default branch main · commit 457e60cd · scanned 6/20/2026, 4:07:47 AM

GitHub: 1,410 stars · 188 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
    Clarify README's opening description to emphasize framework and LLM control

    Why:

    CURRENT
    An open-source showcase for building rich, interactive AI-generated UI with CopilotKit and LangChain Deep Agents.
    COPY-PASTE FIX
    An open-source **framework** that empowers AI agents (LLMs) to **directly generate, control, and integrate rich, interactive UI components** within your application. Go beyond static text or simple charts: enable your agents to render live HTML/SVG, visualize algorithms, create 3D animations, and build interactive widgets, all driven by the LLM itself.
  • mediumtopics#2
    Add specific topics for LLM-driven UI and frontend frameworks

    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-driven-ui, ai-generated-components, interactive-ai, agent-driven-ui, frontend-framework, html-generation, svg-generation
  • lowcomparison#3
    Add a comparison section to differentiate from visualization libraries

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example:

## How is Open Generative UI different from traditional visualization libraries?

Unlike libraries such as D3.js, Plotly.js, or Chart.js, Open Generative UI is not just a tool for rendering data. It is a comprehensive framework designed to enable Large Language Models (LLMs) to *directly generate, control, and integrate* dynamic, interactive UI components and visualizations. While it can produce charts and diagrams, its core purpose is to empower AI agents to build and manipulate the frontend UI itself, offering a higher level of generative capability.

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
d3/d3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. d3/d3 · recommended 2×
  2. plotly/plotly.js · recommended 2×
  3. chartjs/Chart.js · recommended 2×
  4. OpenAI GPT-4 · recommended 1×
  5. GPT-3.5 · recommended 1×
  • CATEGORY QUERY
    How to dynamically generate interactive visual components and diagrams using AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5
    3. DALL-E 3
    4. Midjourney
    5. React Flow (xyflow/react-flow)
    6. D3.js (d3/d3)
    7. Konva.js (konvajs/konva)
    8. Mermaid.js (mermaid-js/mermaid)
    9. Graphviz (graphviz/graphviz)
    10. React (facebook/react)
    11. Vue (vuejs/core)
    12. Svelte (sveltejs/svelte)
    13. LangChain (langchain-ai/langchain)
    14. LlamaIndex (run-llama/llama_index)
    15. Llama 2
    16. Mistral
    17. Ollama (ollama/ollama)
    18. Streamlit (streamlit/streamlit)
    19. Gradio (gradio-app/gradio)
    20. Plotly (plotly/plotly.js)
    21. Altair (altair-viz/altair)
    22. Microsoft Power BI
    23. Tableau
    24. Google Gemini
    25. PaLM 2
    26. Google Charts
    27. Chart.js (chartjs/Chart.js)
    28. Hugging Face Transformers (huggingface/transformers)
    29. Matplotlib (matplotlib/matplotlib)
    30. Seaborn (mwaskom/seaborn)

    AI recommended 30 alternatives but never named CopilotKit/OpenGenerativeUI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source framework can render interactive HTML/SVG visualizations from LLM responses?
    you: not recommended
    AI recommended (in order):
    1. Observable Plot (observablehq/plot)
    2. Vega-Lite (vega/vega-lite)
    3. Plotly.js (plotly/plotly.js)
    4. ECharts (apache/echarts)
    5. D3.js (d3/d3)
    6. Chart.js (chartjs/Chart.js)

    AI recommended 6 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

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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