RRepoGEO

REPOGEO REPORT · LITE

Jeffser/Alpaca

Default branch main · commit 26bacb13 · scanned 5/27/2026, 4:57:32 PM

GitHub: 1,555 stars · 132 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 Jeffser/Alpaca, 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 paragraph to clarify it's a desktop GUI

    Why:

    CURRENT
    Alpaca is an Ollama client where you can manage and chat with multiple models, Alpaca provides an easy and beginner friendly way of interacting with local AI, everything is open source and powered by Ollama.
    COPY-PASTE FIX
    Alpaca is a user-friendly desktop application and graphical client for Ollama, designed to help you easily manage and chat with multiple local and cloud-hosted AI models. It provides an easy and beginner-friendly way of interacting with local AI, everything is open source and powered by Ollama.
  • mediumtopics#2
    Add more descriptive topics for desktop LLM GUIs

    Why:

    CURRENT
    adwaita, flatpak, gnome, gtk4, ollama, ollama-api, ollama-gui
    COPY-PASTE FIX
    adwaita, flatpak, gnome, gtk4, ollama, ollama-api, ollama-gui, llm-gui, desktop-app, local-llm, ai-chat, ai-client, chatbot-ui
  • lowabout#3
    Refine the repository description to explicitly mention 'GUI'

    Why:

    CURRENT
    🦙 Local and online AI hub
    COPY-PASTE FIX
    🦙 User-friendly desktop GUI for local and online AI models

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 Jeffser/Alpaca
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. Ollama · recommended 2×
  3. Chatbot UI · recommended 2×
  4. Jan · recommended 2×
  5. LocalAI · recommended 2×
  • CATEGORY QUERY
    Need a user-friendly desktop application to chat with and manage local AI models.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Open WebUI
    4. Chatbot UI
    5. Jan
    6. LocalAI
    7. GPT4All

    AI recommended 7 alternatives but never named Jeffser/Alpaca. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source graphical interfaces for interacting with local LLMs on Linux?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. Chatbot UI
    6. KoboldAI Lite
    7. KoboldAI United
    8. llama.cpp
    9. text-generation-webui

    AI recommended 9 alternatives but never named Jeffser/Alpaca. 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 Jeffser/Alpaca?
    pass
    AI named Jeffser/Alpaca explicitly

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

  • If a team adopts Jeffser/Alpaca in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Jeffser/Alpaca 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 Jeffser/Alpaca solve, and who is the primary audience?
    pass
    AI named Jeffser/Alpaca explicitly

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

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Jeffser/Alpaca — 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