REPOGEO REPORT · LITE

richardgill/llm-ui

Default branch main · commit 630cca94 · scanned 7/1/2026, 9:06:56 PM

GitHub: 1,748 stars · 89 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

33 /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

2 / 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 richardgill/llm-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

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

OVERALL DIRECTION

highreadme#1

Reposition README H1 and opening paragraph to clarify core differentiator

Why:

CURRENT

# llm-ui

The React library for LLMs.

COPY-PASTE FIX

# llm-ui: The React Component Library for Streaming LLM Output

`llm-ui` provides a robust set of React components designed specifically for rendering, managing, and enhancing streaming output from Large Language Models (LLMs). It handles common challenges like broken markdown, throttling, and integrating custom UI elements into AI-generated content, making it easier to build dynamic and responsive LLM-powered interfaces.

mediumreadme#2

Add a 'Comparison' or 'Why llm-ui?' section to the README

Why:

COPY-PASTE FIX

## Why llm-ui?

`llm-ui` is a focused React component library for rendering and managing *streaming LLM output*. Unlike generic markdown renderers (e.g., `react-markdown`), `llm-ui` provides advanced features like throttling, custom component injection, and robust error handling specifically for AI responses. It is also distinct from full chat frameworks (e.g., Botpress, Rasa) as it provides the UI layer for LLM output, not the entire conversational backend or platform.

mediumtopics#3

Add more specific topics related to streaming AI UI

Why:

CURRENT

chatgpt, claude, component-library, generative-ai, llama, llm, markdown, openai, react

COPY-PASTE FIX

chatgpt, claude, component-library, generative-ai, llama, llm, markdown, openai, react, streaming-ai, ai-ui, llm-frontend, react-components

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 richardgill/llm-ui

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

react-markdown

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

react-markdown · recommended 1×
remark-gfm · recommended 1×
rehype-raw · recommended 1×
fetch · recommended 1×
axios · recommended 1×

CATEGORY QUERY
How to effectively render streaming AI model responses with markdown in a React application?
you: not recommended
AI recommended (in order):
1. react-markdown
2. remark-gfm
3. rehype-raw
4. fetch
5. axios
6. marked
7. showdown
8. react-syntax-highlighter
9. react-scroll-to-bottom
AI recommended 9 alternatives but never named richardgill/llm-ui. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are robust UI component libraries for building conversational interfaces with generative AI?
you: not recommended
AI recommended (in order):
1. Botpress
2. Rasa Webchat
3. Microsoft Bot Framework Web Chat
4. Twilio Flex UI
5. React Chat Widget
6. Chatwoot
AI recommended 6 alternatives but never named richardgill/llm-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
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 richardgill/llm-ui?
pass
AI did not name richardgill/llm-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 richardgill/llm-ui in production, what risks or prerequisites should they evaluate first?
pass
AI named richardgill/llm-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 richardgill/llm-ui solve, and who is the primary audience?
pass
AI named richardgill/llm-ui 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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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/richardgill/llm-ui.svg)](https://repogeo.com/en/r/richardgill/llm-ui)

HTML

<a href="https://repogeo.com/en/r/richardgill/llm-ui"><img src="https://repogeo.com/badge/richardgill/llm-ui.svg" alt="RepoGEO" /></a>

Pro

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richardgill/llm-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