RRepoGEO

REPOGEO REPORT · LITE

qwersyk/Newelle

Default branch master · commit 9c462762 · scanned 5/9/2026, 1:22:37 PM

GitHub: 1,342 stars · 109 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 qwersyk/Newelle, 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 Newelle's core identity immediately in the README

    Why:

    COPY-PASTE FIX
    Newelle is a modern, open-source desktop virtual assistant designed specifically for Linux GNOME environments, built with GTK4. It aims to provide an intuitive and powerful AI companion directly on your desktop.
  • mediumtopics#2
    Add more specific topics related to virtual assistants

    Why:

    CURRENT
    adwaita, ai, app, gnome, gtk, gtk4, linux
    COPY-PASTE FIX
    adwaita, ai, app, gnome, gtk, gtk4, linux, virtual-assistant, desktop-assistant, personal-assistant
  • mediumreadme#3
    Add a 'What is Newelle?' or 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## What is Newelle?
Newelle is a standalone, user-friendly virtual assistant application for Linux desktops. It leverages modern AI capabilities to help you with daily tasks, provide information, and integrate seamlessly with your GNOME environment. Unlike generic AI libraries, Newelle is a complete, ready-to-use desktop experience.

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 qwersyk/Newelle
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mycroft AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mycroft AI · recommended 1×
  2. Jarvis (from the Iron Man movies, but as a Linux project) · recommended 1×
  3. Rhasspy · recommended 1×
  4. Linus (Linux Assistant) · recommended 1×
  5. KDE KRunner with Voice Control (via plugins) · recommended 1×
  • CATEGORY QUERY
    Looking for a desktop virtual assistant for my Linux GNOME environment.
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI
    2. Jarvis (from the Iron Man movies, but as a Linux project)
    3. Rhasspy
    4. Linus (Linux Assistant)
    5. KDE KRunner with Voice Control (via plugins)

    AI recommended 5 alternatives but never named qwersyk/Newelle. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate an AI assistant with a modern GTK4 application on Linux?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Python
    3. PyGObject
    4. Hugging Face Transformers
    5. OpenAI API
    6. Google Gemini API
    7. Anthropic Claude API
    8. llama.cpp (ggerganov/llama.cpp)
    9. ctransformers
    10. llama-cpp-python
    11. Rust
    12. libadwaita
    13. llm crate
    14. openai-api-rust
    15. gtk4-rs
    16. libadwaita-rs
    17. WebKitGTK
    18. JavaScript
    19. TypeScript
    20. Node.js
    21. Flask
    22. FastAPI
    23. React
    24. Vue
    25. Svelte

    AI recommended 25 alternatives but never named qwersyk/Newelle. 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 qwersyk/Newelle?
    pass
    AI named qwersyk/Newelle explicitly

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

  • If a team adopts qwersyk/Newelle in production, what risks or prerequisites should they evaluate first?
    pass
    AI named qwersyk/Newelle 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 qwersyk/Newelle solve, and who is the primary audience?
    pass
    AI named qwersyk/Newelle 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 qwersyk/Newelle. 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)
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HTML
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qwersyk/Newelle — 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