RRepoGEO

REPOGEO REPORT · LITE

sobelio/llm-chain

Default branch main · commit 5d26adf8 · scanned 5/18/2026, 10:36:38 AM

GitHub: 1,600 stars · 142 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
67 /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
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 sobelio/llm-chain, 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 README H1 and opening sentence to emphasize Rust-native LLM orchestration

    Why:

    CURRENT
    # llm-chain 🚀
    `llm-chain` is a collection of Rust crates designed to help you create advanced LLM applications such as chatbots, agents, and more.
    COPY-PASTE FIX
    # llm-chain: Rust-native LLM Orchestration Framework 🚀
    `llm-chain` is a powerful Rust framework for building advanced LLM applications, agents, and multi-step chains, providing a robust LLM-Ops platform.
  • mediumtopics#2
    Add more specific topics to improve categorization for LLM orchestration and agents

    Why:

    CURRENT
    chatgpt, langchain, llama, llm, openai, rust, text-summary
    COPY-PASTE FIX
    chatgpt, langchain, llama, llm, openai, rust, text-summary, llm-orchestration, llm-agents, multi-step-llm, ai-framework
  • mediumreadme#3
    Add a descriptive sentence to the examples section highlighting multi-step capabilities

    Why:

    CURRENT
    To help you get started, here is an example demonstrating how to use `llm-chain`.
    COPY-PASTE FIX
    To help you get started, here is a basic example. For more advanced use cases, including multi-step chains and agents, explore the [examples folder](/crates/llm-chain-openai/examples) in the repository.

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 sobelio/llm-chain
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
7%
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. seanmonstar/reqwest · recommended 1×
  3. serde-rs/serde · recommended 1×
  4. tokio-rs/tokio · recommended 1×
  5. clap-rs/clap · recommended 1×
  • CATEGORY QUERY
    How to build multi-step language model applications using Rust?
    you: not recommended
    AI recommended (in order):
    1. llm (rust-llm/llm)
    2. reqwest (seanmonstar/reqwest)
    3. Serde (serde-rs/serde)
    4. tokio (tokio-rs/tokio)
    5. clap (clap-rs/clap)
    6. tracing (tokio-rs/tracing)

    AI recommended 6 alternatives but never named sobelio/llm-chain. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Rust libraries for creating LLM agents with long-term memory?
    you: #1
    AI recommended (in order):
    1. llm-chain ← you
    2. qdrant-client
    3. pg_embedding
    4. postgres
    5. tokio-postgres
    6. milvus-client
    7. candle
    8. tract
    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 sobelio/llm-chain?
    pass
    AI did not name sobelio/llm-chain — 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 sobelio/llm-chain in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sobelio/llm-chain 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 sobelio/llm-chain solve, and who is the primary audience?
    pass
    AI named sobelio/llm-chain explicitly

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

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sobelio/llm-chain — 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