RRepoGEO

REPOGEO REPORT · LITE

pepperoni21/ollama-rs

Default branch master · commit b39b47fb · scanned 6/29/2026, 1:51:47 PM

GitHub: 1,041 stars · 165 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 pepperoni21/ollama-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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rust, ollama, llm, large-language-models, ai, machine-learning, api-client, bindings
  • highreadme#2
    Strengthen README opening to clarify its specific role as an Ollama client

    Why:

    CURRENT
    ### A simple and easy-to-use library for interacting with the Ollama API.

This library was created following the Ollama API documentation.
    COPY-PASTE FIX
    ### A robust, idiomatic Rust client for the Ollama API. This library provides a comprehensive and type-safe way for Rust developers to interact with local large language models managed by Ollama, offering a higher-level abstraction than direct inference engines like llama.cpp or candle.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://docs.rs/ollama-rs

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 pepperoni21/ollama-rs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ggerganov/llama.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ggerganov/llama.cpp · recommended 1×
  2. rustformers/llama-cpp-rs · recommended 1×
  3. huggingface/candle · recommended 1×
  4. rustformers/llm · recommended 1×
  5. huggingface/rust-bert · recommended 1×
  • CATEGORY QUERY
    How can I programmatically interact with local large language models using Rust?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp (ggerganov/llama.cpp)
    2. llama-cpp-rs (rustformers/llama-cpp-rs)
    3. candle (huggingface/candle)
    4. llm (rustformers/llm)
    5. rust-bert (huggingface/rust-bert)
    6. Triton Inference Server (triton-inference-server/server)

    AI recommended 6 alternatives but never named pepperoni21/ollama-rs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Rust libraries are available for integrating with local open-source AI models?
    you: not recommended
    AI recommended (in order):
    1. llm
    2. candle
    3. rust-bert

    AI recommended 3 alternatives but never named pepperoni21/ollama-rs. 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 pepperoni21/ollama-rs?
    pass
    AI did not name pepperoni21/ollama-rs — 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?

  • If a team adopts pepperoni21/ollama-rs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pepperoni21/ollama-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 pepperoni21/ollama-rs solve, and who is the primary audience?
    pass
    AI named pepperoni21/ollama-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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pepperoni21/ollama-rs — 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