RRepoGEO

REPOGEO REPORT · LITE

ViperX7/Alpaca-Turbo

Default branch main · commit 0b98ffee · scanned 6/8/2026, 3:52:06 PM

GitHub: 858 stars · 90 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 ViperX7/Alpaca-Turbo, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, local-llm, web-ui, alpaca, llama-cpp, inference, generative-ai, ai-chat, chat-ui
  • highreadme#2
    Strengthen the README's opening sentence for better category matching

    Why:

    CURRENT
    Alpaca-Turbo is a frontend to use large language models that can be run locally without much setup required. It is a user-friendly web UI for the llama.cpp , with unique features that make it stand out from other implementations.
    COPY-PASTE FIX
    Alpaca-Turbo is a user-friendly web UI for running large language models like Alpaca and LLaMA-based models locally, designed for seamless chat without complex setup. It provides a fast, production-ready inference server built on llama.cpp, offering unique features that make it stand out from other local LLM implementations.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Set the 'Homepage' URL in the repository settings to a relevant project page (e.g., a GitHub Pages site) or the repository's main URL (https://github.com/ViperX7/Alpaca-Turbo) if no dedicated site exists.

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 ViperX7/Alpaca-Turbo
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. Jan · recommended 2×
  4. LocalAI · recommended 2×
  5. oobabooga/text-generation-webui · recommended 1×
  • CATEGORY QUERY
    Looking for a user-friendly web interface to run local large language models.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. text-generation-webui (oobabooga/text-generation-webui)
    5. LocalAI
    6. Faraday

    AI recommended 6 alternatives but never named ViperX7/Alpaca-Turbo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are simple tools to run open-source large language models on my computer?
    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 ViperX7/Alpaca-Turbo. 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 ViperX7/Alpaca-Turbo?
    pass
    AI named ViperX7/Alpaca-Turbo explicitly

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

  • If a team adopts ViperX7/Alpaca-Turbo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ViperX7/Alpaca-Turbo 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 ViperX7/Alpaca-Turbo solve, and who is the primary audience?
    pass
    AI named ViperX7/Alpaca-Turbo 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 ViperX7/Alpaca-Turbo. 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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ViperX7/Alpaca-Turbo — 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