RRepoGEO

REPOGEO REPORT · LITE

rustformers/llm

Default branch main · commit b11ffb14 · scanned 5/27/2026, 4:22:09 AM

GitHub: 6,146 stars · 377 forks

AI VISIBILITY SCORE
74 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 rustformers/llm, 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
    Update the 'About' description to clarify archived status and domain

    Why:

    CURRENT
    [Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
    COPY-PASTE FIX
    [ARCHIVED, Unmaintained] A Rust ecosystem for local large language model (LLM) inference.
  • hightopics#2
    Add 'archived' to the repository topics

    Why:

    CURRENT
    ai, ggml, llm, ml, rust
    COPY-PASTE FIX
    ai, ggml, llm, ml, rust, archived
  • mediumreadme#3
    Add a clear deprecation statement to the README's archival notice

    Why:

    CURRENT
    # ARCHIVAL NOTICE
    COPY-PASTE FIX
    # ARCHIVAL NOTICE
    
    **This project is deprecated and not suitable for new development.**

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 rustformers/llm
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
candle
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. candle · recommended 2×
  2. rust-bert · recommended 2×
  3. ollama-rs · recommended 1×
  4. reqwest · recommended 1×
  5. serde_json · recommended 1×
  • CATEGORY QUERY
    Which Rust libraries are available for integrating large language models?
    you: #1
    AI recommended (in order):
    1. llm ← you
    2. candle
    3. rust-bert
    4. ollama-rs
    5. reqwest
    6. serde_json
    7. openai-api-rust
    8. llm-chain
    Show full AI answer
  • CATEGORY QUERY
    Looking for a Rust ecosystem to build applications with local LLM inference.
    you: not recommended
    AI recommended (in order):
    1. llama.cpp
    2. llm crate
    3. candle
    4. tch-rs
    5. rust-bert
    6. ort
    7. ONNX Runtime

    AI recommended 7 alternatives but never named rustformers/llm. 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 rustformers/llm?
    pass
    AI named rustformers/llm explicitly

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

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

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

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rustformers/llm — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite