RRepoGEO

REPOGEO REPORT · LITE

addyosmani/chatty

Default branch main · commit f642f629 · scanned 6/9/2026, 1:26:38 AM

GitHub: 823 stars · 99 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 addyosmani/chatty, 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
    Clarify "browser-based application" and "local-only LLMs" in README opening

    Why:

    CURRENT
    Chatty is your private AI that leverages WebGPU to run large language models (LLMs) natively & privately in your browser, bringing you the most feature rich in-browser AI experience.
    COPY-PASTE FIX
    Chatty is a **fully private, browser-based AI chat application** that leverages WebGPU to run large language models (LLMs) natively & privately in your browser, bringing you the most feature rich in-browser AI experience. **It focuses exclusively on local, open-source LLMs and does not connect to cloud-based APIs or external services like Ollama.**
  • highabout#2
    Refine the repository description to emphasize "application" and "local-only"

    Why:

    CURRENT
    ChattyUI - your private AI chat for running LLMs in the browser
    COPY-PASTE FIX
    ChattyUI: A private, browser-based AI chat application for running open-source LLMs entirely locally, without cloud APIs or external services.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai, chatbot, huggingface, local
    COPY-PASTE FIX
    ai, chatbot, huggingface, local, webgpu, in-browser, client-side, llm-app, privacy-focused

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

    AI recommended 6 alternatives but never named addyosmani/chatty. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best client-side AI chat applications for running open-source LLMs offline?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. GPT4All
    5. LocalAI
    6. KoboldCpp

    AI recommended 6 alternatives but never named addyosmani/chatty. 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 addyosmani/chatty?
    pass
    AI did not name addyosmani/chatty — 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 addyosmani/chatty in production, what risks or prerequisites should they evaluate first?
    pass
    AI named addyosmani/chatty 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 addyosmani/chatty solve, and who is the primary audience?
    pass
    AI named addyosmani/chatty 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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addyosmani/chatty — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite