REPOGEO REPORT · LITE

thesysdev/openui

Default branch main · commit 942fbf63 · scanned 6/19/2026, 1:21:56 AM

GitHub: 7,058 stars · 531 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 thesysdev/openui, 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

Strengthen the README's opening statement to emphasize AI-driven UI generation

Why:

CURRENT

OpenUI is a full-stack Generative UI framework: a compact streaming-first language, a React runtime with built-in component libraries, and ready-to-use chat interfaces that are up to 67% more token-efficient than JSON.

COPY-PASTE FIX

OpenUI is the open standard for **AI-driven UI generation**, a full-stack framework that lets you generate production-ready React components directly from natural language prompts or even screenshots. It features a compact streaming-first language, a React runtime with built-in component libraries, and ready-to-use chat interfaces that are up to 67% more token-efficient than JSON.

mediumtopics#2

Add more specific topics related to AI-driven UI generation

Why:

CURRENT

agent, agents, ai, generative-ui, help-wanted, javascript, llm, looking-for-contributors

COPY-PASTE FIX

agent, agents, ai, generative-ui, help-wanted, javascript, llm, looking-for-contributors, ai-ui-framework, llm-ui-generation, component-generation, generative-ai-ui

lowreadme#3

Add a 'Comparison to X' section in the README

Why:

COPY-PASTE FIX

Add a new section titled 'How OpenUI Compares' or 'Why OpenUI?' that briefly explains how OpenUI differs from traditional web frameworks (like Next.js) and general LLM frameworks (like Streamlit/Gradio) by focusing on structured, component-based UI generation rather than just text or simple data apps.

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 thesysdev/openui

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Next.js

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Next.js · recommended 2×
SvelteKit · recommended 2×
Streamlit · recommended 1×
Gradio · recommended 1×
LangChain.js · recommended 1×

CATEGORY QUERY
How to build dynamic user interfaces using large language models efficiently?
you: not recommended
AI recommended (in order):
1. Streamlit
2. Gradio
3. Next.js
4. SvelteKit
5. LangChain.js
6. LlamaIndex.TS
7. Panel
8. Dash
AI recommended 8 alternatives but never named thesysdev/openui. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best full-stack frameworks for AI-driven component-based UI generation?
you: not recommended
AI recommended (in order):
1. Next.js
2. SvelteKit
3. Nuxt.js
4. Remix
5. Gatsby
6. Angular
7. Angular Universal
8. Phoenix LiveView
AI recommended 8 alternatives but never named thesysdev/openui. 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 thesysdev/openui?
pass
AI named thesysdev/openui explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts thesysdev/openui in production, what risks or prerequisites should they evaluate first?
pass
AI named thesysdev/openui 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 thesysdev/openui solve, and who is the primary audience?
pass
AI named thesysdev/openui explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/thesysdev/openui.svg)](https://repogeo.com/en/r/thesysdev/openui)

HTML

<a href="https://repogeo.com/en/r/thesysdev/openui"><img src="https://repogeo.com/badge/thesysdev/openui.svg" alt="RepoGEO" /></a>

Pro

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thesysdev/openui — 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