RRepoGEO

REPOGEO REPORT · LITE

Michael-A-Kuykendall/shimmy

Default branch main · commit b98391e1 · scanned 5/14/2026, 1:36:35 PM

GitHub: 4,807 stars · 432 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 Michael-A-Kuykendall/shimmy, 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 the README's opening statement to emphasize LLM inference

    Why:

    CURRENT
    The README's initial H1 is followed by a tagline and then sponsorship information.
    COPY-PASTE FIX
    Add the following sentence directly after the H1 and tagline: "Shimmy is a Python-free Rust inference server providing 100% OpenAI-compatible endpoints for GGUF and SafeTensors models, enabling local, private, and dependency-free LLM inference."
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Michael-A-Kuykendall/shimmy
  • lowreadme#3
    Streamline the README's introductory section

    Why:

    CURRENT
    The README excerpt includes empty `[]()` links and a prominent sponsorship section immediately after the main title.
    COPY-PASTE FIX
    Remove any empty `[]()` links and consider moving the "Support Shimmy's Growth" section further down the README, allowing the core value proposition to be more prominent in the initial view.

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 Michael-A-Kuykendall/shimmy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. LocalAI · recommended 1×
  4. vLLM · recommended 1×
  5. text-generation-inference (TGI) · recommended 1×
  • CATEGORY QUERY
    How can I run local LLM inference with an OpenAI-compatible API, minimizing dependencies?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. vLLM
    5. text-generation-inference (TGI)
    6. llama.cpp
    7. LiteLLM

    AI recommended 7 alternatives but never named Michael-A-Kuykendall/shimmy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Rust-based options for serving GGUF models with an OpenAI API endpoint?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp (ggerganov/llama.cpp)
    2. llm-rs (rustformers/llm-rs)
    3. llama-cpp-rs (rustformers/llama-cpp-rs)
    4. Axum (tokio-rs/axum)
    5. Actix-web (actix/actix-web)
    6. Warp (seanmonstar/warp)
    7. candle (huggingface/candle)
    8. LocalAI (go-skynet/LocalAI)

    AI recommended 8 alternatives but never named Michael-A-Kuykendall/shimmy. 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 Michael-A-Kuykendall/shimmy?
    pass
    AI named Michael-A-Kuykendall/shimmy explicitly

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

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

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

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Michael-A-Kuykendall/shimmy — 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