RRepoGEO

REPOGEO REPORT · LITE

jieyefriic/rp-engine

Default branch main · commit f32d01e0 · scanned 7/1/2026, 3:48:14 PM

GitHub: 1,229 stars · 8 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)

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

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 jieyefriic/rp-engine, 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
    Clarify 'About' description to link 'rp' to 'RicePrompt'

    Why:

    CURRENT
    YAML-native agent workflow execution engine, written in Rust
    COPY-PASTE FIX
    YAML-native agent workflow execution engine (part of the RicePrompt ecosystem), written in Rust.
  • highreadme#2
    Add a 'Positioning' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README, for example, titled 'Positioning in the LLM Workflow Landscape', with content like: 'Unlike Python-centric frameworks such as LangChain or LlamaIndex, riceprompt-engine offers a Rust-native, YAML-first solution for declarative LLM agent workflow orchestration, emphasizing performance and explicit graph-based control for complex multi-agent systems.'
  • mediumtopics#3
    Add 'multi-agent' and 'ai-agents' topics

    Why:

    CURRENT
    agent, llm, mcp, rust, workflow, yaml
    COPY-PASTE FIX
    agent, llm, mcp, rust, workflow, yaml, multi-agent, ai-agents

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 jieyefriic/rp-engine
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain.rs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain.rs · recommended 1×
  2. serde_yaml · recommended 1×
  3. Actix-web · recommended 1×
  4. Axum · recommended 1×
  5. llm-chain · recommended 1×
  • CATEGORY QUERY
    How to define and execute complex LLM agent workflows using declarative YAML in Rust?
    you: not recommended
    AI recommended (in order):
    1. LangChain.rs
    2. serde_yaml
    3. Actix-web
    4. Axum
    5. llm-chain
    6. OpenAI
    7. Anthropic
    8. reqwest
    9. Temporal.io

    AI recommended 9 alternatives but never named jieyefriic/rp-engine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good libraries for orchestrating multi-agent LLM plans and executing AI workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. DSPy
    7. Marvin

    AI recommended 7 alternatives but never named jieyefriic/rp-engine. 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 jieyefriic/rp-engine?
    pass
    AI named jieyefriic/rp-engine explicitly

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

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

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

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jieyefriic/rp-engine — 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