RRepoGEO

REPOGEO REPORT · LITE

Ryan-yang125/ChatLLM-Web

Default branch main · commit 673934a0 · scanned 6/7/2026, 10:11:51 PM

GitHub: 631 stars · 47 forks

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 Ryan-yang125/ChatLLM-Web, 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 main heading to clarify project type

    Why:

    CURRENT
    <h2 align="center">🚀 Check the AI search engine https://discovai.io, discover top ai tools that best match your need</h2>
    COPY-PASTE FIX
    <h2 align="center">An entirely in-browser, no-server chat application for Large Language Models (LLMs) powered by WebGPU.</h2>
  • mediumtopics#2
    Add specific topics to reinforce application type and key features

    Why:

    CURRENT
    chatgpt, deep-learning, llm, nextjs, pwa, react, tvm, vicuna, webgpu, webml
    COPY-PASTE FIX
    chatgpt, deep-learning, llm, nextjs, pwa, react, tvm, vicuna, webgpu, webml, llm-chat, chat-application, offline-first, privacy-focused
  • lowreadme#3
    Clarify the relationship with `web-llm` in the README

    Why:

    CURRENT
    🗣️ Chat with LLM like Vicuna totally in your browser with WebGPU, safely, privately, and with no server. Powered By web-llm.
    COPY-PASTE FIX
    🗣️ Chat with LLM like Vicuna totally in your browser with WebGPU, safely, privately, and with no server. This application is built on top of the powerful web-llm library.

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 Ryan-yang125/ChatLLM-Web
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mlc-ai/mlc-llm
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. mlc-ai/mlc-llm · recommended 2×
  2. huggingface/transformers.js · recommended 1×
  3. microsoft/onnxruntime · recommended 1×
  4. tensorflow/tfjs · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run large language models entirely in the browser for privacy and offline access?
    you: not recommended
    AI recommended (in order):
    1. Transformers.js (huggingface/transformers.js)
    2. MLC LLM (mlc-ai/mlc-llm)
    3. ONNX Runtime Web (microsoft/onnxruntime)
    4. Web LLM (mlc-ai/mlc-llm)
    5. TensorFlow.js (tensorflow/tfjs)
    6. llama.cpp (ggerganov/llama.cpp)

    AI recommended 6 alternatives but never named Ryan-yang125/ChatLLM-Web. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for client-side LLM inference using WebGPU without a backend?
    you: not recommended
    AI recommended (in order):
    1. WebLLM
    2. Transformers.js
    3. ONNX Runtime Web
    4. TensorFlow.js
    5. Direct WebGPU API

    AI recommended 5 alternatives but never named Ryan-yang125/ChatLLM-Web. 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 Ryan-yang125/ChatLLM-Web?
    pass
    AI named Ryan-yang125/ChatLLM-Web explicitly

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

  • If a team adopts Ryan-yang125/ChatLLM-Web in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Ryan-yang125/ChatLLM-Web 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 Ryan-yang125/ChatLLM-Web solve, and who is the primary audience?
    pass
    AI did not name Ryan-yang125/ChatLLM-Web — 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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Ryan-yang125/ChatLLM-Web — 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