RRepoGEO

REPOGEO REPORT · LITE

Kochava-Studios/witsy

Default branch main · commit c81c7de4 · scanned 5/15/2026, 7:26:53 PM

GitHub: 1,969 stars · 157 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 Kochava-Studios/witsy, 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 the README's opening to clearly state its purpose as a desktop AI client

    Why:

    CURRENT
    The README starts with a centered div containing 'Witsy Desktop AI Assistant Universal MCP Client'.
    COPY-PASTE FIX
    Add a direct, declarative sentence at the very top of the README, before any divs or badges, stating: 'Witsy is a desktop AI assistant and universal client for managing multiple large language models and AI providers.'
  • mediumreadme#2
    Add a comparison section to the README explicitly mentioning competitors

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Why Witsy? (Compared to alternatives)' or 'How Witsy Compares,' explicitly mentioning and differentiating from competitors like LM Studio, Jan, Ollama, and GPT4All.
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., `https://witsy.app` or `https://kochava-studios.github.io/witsy/`) to the repository's About section.

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 Kochava-Studios/witsy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. Jan · recommended 2×
  3. LocalAI · recommended 2×
  4. GPT4All · recommended 2×
  5. Pinokio · recommended 2×
  • CATEGORY QUERY
    What desktop application can I use to manage multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. GPT4All
    6. Pinokio

    AI recommended 6 alternatives but never named Kochava-Studios/witsy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop AI chat client that supports local LLMs like Ollama.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Jan
    3. LocalAI
    4. Chatbot UI
    5. Open WebUI
    6. Pinokio
    7. GPT4All

    AI recommended 7 alternatives but never named Kochava-Studios/witsy. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 Kochava-Studios/witsy?
    pass
    AI named Kochava-Studios/witsy explicitly

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

  • If a team adopts Kochava-Studios/witsy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Kochava-Studios/witsy 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 Kochava-Studios/witsy solve, and who is the primary audience?
    pass
    AI named Kochava-Studios/witsy 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 Kochava-Studios/witsy. 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)
[![RepoGEO](https://repogeo.com/badge/Kochava-Studios/witsy.svg)](https://repogeo.com/en/r/Kochava-Studios/witsy)
HTML
<a href="https://repogeo.com/en/r/Kochava-Studios/witsy"><img src="https://repogeo.com/badge/Kochava-Studios/witsy.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Kochava-Studios/witsy — 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