RRepoGEO

REPOGEO REPORT · LITE

Michaelliv/pi-generative-ui

Default branch main · commit d1abf2cb · scanned 6/30/2026, 6:26:57 PM

GitHub: 1,118 stars · 71 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)

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

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Michaelliv/pi-generative-ui, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and opening sentence to clarify 'pi' and core function

    Why:

    CURRENT
    # pi-generative-ui
    
    Claude.ai's generative UI - reverse-engineered, rebuilt for pi.
    COPY-PASTE FIX
    # pi-generative-ui: Generative UI for the `pi` LLM (Inflection AI)
    
    This project reverse-engineers Claude.ai's generative UI system and rebuilds it specifically for the `pi` LLM, enabling interactive HTML/SVG widgets in native macOS windows.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 Michaelliv/pi-generative-ui
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebook/react
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. facebook/react · recommended 1×
  2. mui/material-ui · recommended 1×
  3. ant-design/ant-design · recommended 1×
  4. chakra-ui/chakra-ui · recommended 1×
  5. vuejs/core · recommended 1×
  • CATEGORY QUERY
    How to build dynamic, interactive UI widgets directly from large language model output?
    you: not recommended
    AI recommended (in order):
    1. React (facebook/react)
    2. Material-UI (mui/material-ui)
    3. Ant Design (ant-design/ant-design)
    4. Chakra UI (chakra-ui/chakra-ui)
    5. Vue.js (vuejs/core)
    6. Vuetify (vuetifyjs/vuetify)
    7. Element Plus (element-plus/element-plus)
    8. Svelte (sveltejs/svelte)
    9. Svelte Material UI (sveltematerialui/sveltematerialui)
    10. Flowbite Svelte (themesberg/flowbite-svelte)
    11. Streamlit (streamlit/streamlit)
    12. Gradio (gradio-app/gradio)
    13. Next.js (vercel/next.js)
    14. Angular (angular/angular)
    15. Angular Material (angular/components)
    16. PrimeNG (primefaces/primeng)

    AI recommended 16 alternatives but never named Michaelliv/pi-generative-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a way to display streaming interactive web content within a native desktop app.
    you: not recommended
    AI recommended (in order):
    1. Electron
    2. WebView2
    3. WKWebView
    4. Qt WebEngine
    5. Tauri
    6. CEF

    AI recommended 6 alternatives but never named Michaelliv/pi-generative-ui. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 Michaelliv/pi-generative-ui?
    pass
    AI did not name Michaelliv/pi-generative-ui — 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 Michaelliv/pi-generative-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Michaelliv/pi-generative-ui 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 Michaelliv/pi-generative-ui solve, and who is the primary audience?
    pass
    AI did not name Michaelliv/pi-generative-ui — 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?

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Michaelliv/pi-generative-ui — 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