RRepoGEO

REPOGEO REPORT · LITE

Simple-Efficient/RL-Factory

Default branch main · commit d0abc1db · scanned 6/21/2026, 1:36:48 PM

GitHub: 1,765 stars · 163 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
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 Simple-Efficient/RL-Factory, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Refine the opening sentence of the README to specify the target agent type

    Why:

    CURRENT
    RLFactory is an **easy** and **efficient** RL post-training framework for **Agentic Learning**.
    COPY-PASTE FIX
    RLFactory is an **easy** and **efficient** framework for **Reinforcement Learning post-training of LLM-powered agents**, enabling rapid iteration on tool-using agents like those built with Qwen3.
  • mediumhomepage#2
    Add a homepage URL pointing to the main tutorial

    Why:

    COPY-PASTE FIX
    https://github.com/Simple-Efficient/RL-Factory/tree/main/docs/rl_factory/en/main_tutorial.md

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 Simple-Efficient/RL-Factory
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. Haystack · recommended 1×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    What are efficient frameworks for rapid development of AI agent models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. OpenAI Assistants API
    7. Marvin

    AI recommended 7 alternatives but never named Simple-Efficient/RL-Factory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I accelerate reinforcement learning post-training for agentic applications?
    you: not recommended
    AI recommended (in order):
    1. Ray Serve
    2. KubeRay
    3. ONNX Runtime
    4. OpenVINO
    5. TensorRT
    6. MLflow
    7. RLlib
    8. Prometheus
    9. Grafana

    AI recommended 9 alternatives but never named Simple-Efficient/RL-Factory. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 Simple-Efficient/RL-Factory?
    pass
    AI named Simple-Efficient/RL-Factory explicitly

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

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

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

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Simple-Efficient/RL-Factory — 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