RRepoGEO

REPOGEO REPORT · LITE

jieyefriic/rp-engine

Default branch main · commit f32d01e0 · scanned 6/1/2026, 2:27:43 PM

GitHub: 1,055 stars · 8 forks

AI VISIBILITY SCORE
33 /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
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 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
  • highreadme#1
    Reposition README's opening to clarify AI agent workflow focus

    Why:

    CURRENT
    YAML-native agent workflow execution engine, written in Rust.

You describe an agent workflow as a YAML file — nodes, edges, prompts, data sources, MCP tools — and the engine parses it, resolves dependencies, and executes the graph: making LLM calls, running scripts, querying databases, calling MCP tools, iterating over data, and orchestrating multi-agent plans.
    COPY-PASTE FIX
    riceprompt-engine is a YAML-native engine for building and orchestrating complex AI agent workflows and LLM applications, written in Rust. It provides a robust framework for defining multi-agent plans, making LLM calls, and integrating various tools and data sources.

You describe an agent workflow as a YAML file — nodes, edges, prompts, data sources, MCP tools — and the engine parses it, resolves dependencies, and executes the graph: making LLM calls, running scripts, querying databases, calling MCP tools, iterating over data, and orchestrating multi-agent plans.
  • mediumtopics#2
    Add specific topics for AI orchestration and agent frameworks

    Why:

    CURRENT
    agent, llm, mcp, rust, workflow, yaml
    COPY-PASTE FIX
    agent, llm, mcp, rust, workflow, yaml, ai-agents, llm-orchestration, workflow-automation, agent-framework, declarative-ai
  • lowabout#3
    Expand the repository description for clarity

    Why:

    CURRENT
    YAML-native agent workflow execution engine, written in Rust
    COPY-PASTE FIX
    A YAML-native engine for building and orchestrating complex AI agent workflows and LLM applications, written in Rust.

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
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Apache Airflow · recommended 1×
  4. Prefect · recommended 1×
  5. Metaflow · recommended 1×
  • CATEGORY QUERY
    How to define and run complex AI agent workflows declaratively?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Apache Airflow
    4. Prefect
    5. Metaflow
    6. Magentic

    AI recommended 6 alternatives but never named jieyefriic/rp-engine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Rust library for building multi-agent LLM systems with declarative configuration?
    you: not recommended
    AI recommended (in order):
    1. Agent
    2. Actix-Web
    3. Tokio
    4. openai-rust
    5. LangChain.rs

    AI recommended 5 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 did not name jieyefriic/rp-engine — 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 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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  • Brand-free category queries5 vs 2 in Lite
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