RRepoGEO

REPOGEO REPORT · LITE

eastreams/loong

Default branch dev · commit 979645f2 · scanned 6/12/2026, 7:12:05 AM

GitHub: 639 stars · 105 forks

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 eastreams/loong, 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 the README's opening paragraph to explicitly state its purpose and what it is not

    Why:

    CURRENT
    Secure, extensible, and sustainably evolvable— Loong is an agent base for vertical AI agents, built in Rust. On a secure and controlled base, it supports longer-horizon workflow construction, compound task execution, and closed-loop improvement — enabling people and AI to collaborate in real-world scenarios.
    COPY-PASTE FIX
    Loong is a secure, extensible, and sustainably evolvable **Rust-based infrastructure for building vertical AI agents**, *not* a data streaming or message queue system. It supports longer-horizon workflow construction, compound task execution, and closed-loop improvement — enabling people and AI to collaborate in real-world scenarios.
  • mediumreadme#2
    Add a dedicated comparison section in the README for AI agent frameworks

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., 'Why Loong? (Rust vs. Python AI Agent Frameworks)' or 'Comparison with other AI Agent Frameworks,' detailing how Loong's Rust foundation offers advantages in performance, security, and reliability compared to popular Python alternatives like LangChain or LlamaIndex.
  • lowreadme#3
    Introduce a small FAQ section to clarify common misunderstandings about Loong's purpose

    Why:

    COPY-PASTE FIX
    Add a 'Frequently Asked Questions' section with entries like:
    - 'Q: Is Loong a data streaming platform or message queue?'
      'A: No, Loong is specifically designed as an infrastructure for building AI agents, focusing on secure, extensible, and long-horizon agent workflows in Rust.'
    - 'Q: How does Loong compare to [Python framework X]?'
      'A: Loong offers a Rust-native solution for AI agents, providing benefits in performance, memory safety, and system-level control, making it ideal for robust production deployments.'

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 eastreams/loong
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Axum
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Axum · recommended 1×
  2. Actix-web · recommended 1×
  3. Tokio · recommended 1×
  4. Tonic · recommended 1×
  5. candle · recommended 1×
  • CATEGORY QUERY
    Looking for a robust Rust framework to develop custom and extensible AI agents.
    you: not recommended
    AI recommended (in order):
    1. Axum
    2. Actix-web
    3. Tokio
    4. Tonic
    5. candle
    6. tch-rs
    7. ndarray

    AI recommended 7 alternatives but never named eastreams/loong. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an infrastructure to build secure, long-horizon AI agent workflows with compound tasks.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGPT
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named eastreams/loong. 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 eastreams/loong?
    pass
    AI named eastreams/loong explicitly

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

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

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

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eastreams/loong — 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