RRepoGEO

REPOGEO REPORT · LITE

nlkitai/nlux

Default branch latest · commit 00007d63 · scanned 5/26/2026, 7:37:00 AM

GitHub: 1,375 stars · 86 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 nlkitai/nlux, 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 README's opening to emphasize 'LLM UI Library'

    Why:

    CURRENT
    # NLUX
    COPY-PASTE FIX
    # NLUX: The Conversational AI UI Library for LLMs
  • mediumreadme#2
    Clarify license details in README

    Why:

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

This project is licensed under [Specify License Name(s) here, e.g., "a custom license combining X and Y"]. Please see the [LICENSE](LICENSE) file for full details.`
  • lowreadme#3
    Add a 'Why NLUX?' or 'NLUX vs. Alternatives' section to README

    Why:

    COPY-PASTE FIX
    Add a section to the README, e.g., `## Why NLUX?

NLUX is specifically designed as a UI layer for conversational AI applications powered by Large Language Models. Unlike generic UI frameworks (like React or Vue), NLUX provides specialized components and utilities for LLM interactions. It complements, rather than replaces, LLM backend SDKs such as LangChain.js, OpenAI SDK, or Vercel AI SDK, allowing you to focus on building rich, interactive chat 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 nlkitai/nlux
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. remarkjs/react-markdown · recommended 1×
  3. pmndrs/zustand · recommended 1×
  4. pmndrs/jotai · recommended 1×
  5. vuejs/core · recommended 1×
  • CATEGORY QUERY
    How to build interactive chat UIs for large language models in a web application?
    you: not recommended
    AI recommended (in order):
    1. React (facebook/react)
    2. react-markdown (remarkjs/react-markdown)
    3. Zustand (pmndrs/zustand)
    4. Jotai (pmndrs/jotai)
    5. Vue.js (vuejs/core)
    6. Svelte (sveltejs/svelte)
    7. Next.js (vercel/next.js)
    8. Angular (angular/angular)
    9. Lit (lit/lit)

    AI recommended 9 alternatives but never named nlkitai/nlux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good libraries for integrating LLM chat interfaces into a React application?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. OpenAI SDK (JavaScript/TypeScript)
    3. Vercel AI SDK
    4. Hugging Face Transformers.js
    5. React Chatbot Kit
    6. Botpress

    AI recommended 6 alternatives but never named nlkitai/nlux. 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 nlkitai/nlux?
    pass
    AI named nlkitai/nlux explicitly

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

  • If a team adopts nlkitai/nlux in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nlkitai/nlux 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 nlkitai/nlux solve, and who is the primary audience?
    pass
    AI named nlkitai/nlux 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 nlkitai/nlux. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/nlkitai/nlux.svg)](https://repogeo.com/en/r/nlkitai/nlux)
HTML
<a href="https://repogeo.com/en/r/nlkitai/nlux"><img src="https://repogeo.com/badge/nlkitai/nlux.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

nlkitai/nlux — 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