RRepoGEO

REPOGEO REPORT · LITE

CommandCodeAI/langui

Default branch main · commit c7d6ee88 · scanned 6/30/2026, 7:47:37 PM

GitHub: 3,140 stars · 157 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 CommandCodeAI/langui, 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 explicitly state it's a web UI component library for AI

    Why:

    CURRENT
    Trusted by some of the world's largest companies, developers, and investors, LangUI is a set of beautifully designed components that you can copy and paste to build your own ChatGPT.
    COPY-PASTE FIX
    LangUI is an open-source library of beautifully designed Tailwind CSS components for building web user interfaces for your GPT, generative AI, and LLM projects.
  • hightopics#2
    Add more specific topics to clearly signal LangUI's niche as AI-focused UI components

    Why:

    CURRENT
    chat-ui, chatgpt, chatgpt-ui, gpt, gpt-3, gpt-4, gpt-ui, lang-chain, lang-ui
    COPY-PASTE FIX
    chat-ui, chatgpt, chatgpt-ui, gpt, gpt-3, gpt-4, gpt-ui, lang-chain, lang-ui, ai-components, llm-components, generative-ai-components, tailwind-ui-ai
  • mediumreadme#3
    Add a 'Quick Start' or 'Instant UI' section to highlight ease and speed of use

    Why:

    COPY-PASTE FIX
    ## Instant UI for Your AI
LangUI components are designed for immediate use. Simply browse LangUI.dev, copy the desired component's HTML or JSX code, and paste it directly into your project. No installations, no configurations – just beautiful, ready-to-deploy AI interfaces in minutes.

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 CommandCodeAI/langui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
shadcn/ui
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. shadcn/ui · recommended 1×
  2. htmlstream/preline · recommended 1×
  3. themesberg/flowbite · recommended 1×
  4. saadeghi/daisyui · recommended 1×
  5. Tailwind UI · recommended 1×
  • CATEGORY QUERY
    What are some open-source Tailwind UI components for building generative AI applications?
    you: not recommended
    AI recommended (in order):
    1. shadcn/ui
    2. Preline UI (htmlstream/preline)
    3. Flowbite (themesberg/flowbite)
    4. DaisyUI (saadeghi/daisyui)
    5. Tailwind UI
    6. HyperUI (siraaj/hyperui)

    AI recommended 6 alternatives but never named CommandCodeAI/langui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I quickly build a user interface for my large language model project?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Hugging Face Spaces
    4. Panel
    5. Chainlit
    6. Next.js
    7. Vercel AI SDK
    8. React
    9. Material-UI
    10. Chakra UI

    AI recommended 10 alternatives but never named CommandCodeAI/langui. 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 CommandCodeAI/langui?
    pass
    AI named CommandCodeAI/langui explicitly

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

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

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

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CommandCodeAI/langui — 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