RRepoGEO

REPOGEO REPORT · LITE

utilityai/llama-cpp-rs

Default branch main · commit 87fd2316 · scanned 6/9/2026, 4:32:13 PM

GitHub: 581 stars · 204 forks

AI VISIBILITY SCORE
65 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 0 warn · 1 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 utilityai/llama-cpp-rs, 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
  • highabout#1
    Add a concise project description

    Why:

    COPY-PASTE FIX
    Rust bindings for `llama.cpp`, enabling efficient local inference of large language models (LLMs) directly within Rust applications.
  • hightopics#2
    Add relevant repository topics

    Why:

    COPY-PASTE FIX
    ["rust", "llama-cpp", "llm", "large-language-models", "ai", "inference", "bindings", "gpu", "cpu"]
  • mediumreadme#3
    Clarify the README's opening sentence

    Why:

    CURRENT
    This is the home for [llama-cpp-2][crates.io]. It also contains the [llama-cpp-sys] bindings which are updated semi-regularly and in sync with [llama-cpp-2][crates.io].
    COPY-PASTE FIX
    This project provides Rust bindings for `llama.cpp`, enabling efficient local inference of large language models (LLMs) directly within Rust applications. It is the home for [llama-cpp-2][crates.io] and also contains the [llama-cpp-sys] bindings, which are updated semi-regularly and in sync.

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
1 / 2
50% of queries surface utilityai/llama-cpp-rs
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
20%
Of all named tools, what % are you?
Top rival
rust-llm/llm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. rust-llm/llm · recommended 1×
  2. huggingface/candle · recommended 1×
  3. jason-chao/rust-llama-cpp · recommended 1×
  4. rustformers/ggml-rs · recommended 1×
  • CATEGORY QUERY
    How can I run large language models locally using Rust bindings?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What Rust options exist for interacting with `llama.cpp` for local LLM inference?
    you: #1
    AI recommended (in order):
    1. llama-cpp-rs (rustformers/llama-cpp-rs) ← you
    2. llm (rust-llm/llm)
    3. candle (huggingface/candle)
    4. rust-llama-cpp (jason-chao/rust-llama-cpp)
    5. ggml-rs (rustformers/ggml-rs)
    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 utilityai/llama-cpp-rs?
    pass
    AI named utilityai/llama-cpp-rs explicitly

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

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

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

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utilityai/llama-cpp-rs — RepoGEO report