REPOGEO REPORT · LITE

richardgill/llm-ui

Default branch main · commit 630cca94 · scanned 5/20/2026, 6:51:59 AM

GitHub: 1,742 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 to clarify its role as a React component library for streaming LLM chat UIs
Why:
CURRENT
```
# llm-ui

The React library for LLMs.
```
COPY-PASTE FIX
```
# llm-ui

The React component library for building streaming LLM chat UIs.
```

mediumtopics#2

Add more specific topics related to chat interfaces and streaming

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, chat-ui, streaming-ai, ai-chatbots, react-components

lowreadme#3

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

Why:

COPY-PASTE FIX

## Why llm-ui?

Unlike generic markdown renderers, llm-ui is purpose-built for streaming LLM output, handling common issues like broken markdown and providing a component-based approach for custom interactions. It's a UI library for your React application, not a full client-side LLM inference engine.

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×
rehype-raw · recommended 1×
remark-gfm · recommended 1×
react-syntax-highlighter · recommended 1×
marked · recommended 1×

CATEGORY QUERY
How to render streaming AI responses with rich markdown in a React application?
you: not recommended
AI recommended (in order):
1. React Markdown
2. rehype-raw
3. remark-gfm
4. react-syntax-highlighter
5. marked
6. unified / remark / rehype ecosystem
7. DOMPurify
8. Fetch API
9. WebSockets
10. ws
AI recommended 10 alternatives but never named richardgill/llm-ui. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best React component libraries for building custom generative AI chat interfaces?
you: not recommended
AI recommended (in order):
1. Chakra UI (chakra-ui/chakra-ui)
2. Material UI (MUI) (mui/material-ui)
3. shadcn/ui (shadcn-ui/ui)
4. Ant Design (AntD) (ant-design/ant-design)
5. Radix UI (radix-ui/primitives)
AI recommended 5 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