RRepoGEO

REPOGEO REPORT · LITE

Chevey339/kelivo

Default branch master · commit c8c9ff37 · scanned 6/26/2026, 11:47:07 PM

GitHub: 3,096 stars · 302 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)

3 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 Chevey339/kelivo, 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 H1 to specify category

    Why:

    CURRENT
    <h1>Kelivo</h1>

A Flutter LLM Chat Client
    COPY-PASTE FIX
    <h1>Kelivo: Your Universal Cross-Platform LLM Chat Application</h1>
  • highreadme#2
    Add a clear introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Kelivo is a feature-rich, ready-to-use chat client designed for interacting with various Large Language Models across mobile and desktop platforms.
  • mediumtopics#3
    Add more specific application-oriented topics

    Why:

    CURRENT
    ai, android, chatbot, chatbox, flutter, flutter-apps, harmony, harmonyos, ios, llm, openharmony
    COPY-PASTE FIX
    ai, android, chatbot, chatbox, flutter, flutter-apps, harmony, harmonyos, ios, llm, openharmony, llm-app, ai-chat-app, cross-platform-app, chat-client

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 Chevey339/kelivo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Flutter
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Flutter · recommended 1×
  2. React Native · recommended 1×
  3. Electron · recommended 1×
  4. Qt · recommended 1×
  5. MAUI (.NET Multi-platform App UI) · recommended 1×
  • CATEGORY QUERY
    How to build a cross-platform chat client for large language models on mobile and desktop?
    you: not recommended
    AI recommended (in order):
    1. Flutter
    2. React Native
    3. Electron
    4. Qt
    5. MAUI (.NET Multi-platform App UI)
    6. Tauri
    7. SwiftUI
    8. Kotlin Multiplatform Mobile (KMM)

    AI recommended 8 alternatives but never named Chevey339/kelivo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a universal chat interface supporting various AI providers and multimodal input types.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Botpress
    4. Voiceflow
    5. Gradio
    6. Streamlit

    AI recommended 6 alternatives but never named Chevey339/kelivo. 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 Chevey339/kelivo?
    pass
    AI named Chevey339/kelivo explicitly

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

  • If a team adopts Chevey339/kelivo in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Chevey339/kelivo — 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?

  • In one sentence, what problem does the repo Chevey339/kelivo solve, and who is the primary audience?
    pass
    AI named Chevey339/kelivo 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 Chevey339/kelivo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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Pro

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Chevey339/kelivo — 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