RRepoGEO

REPOGEO REPORT · LITE

RUCAIBox/R1-Searcher

Default branch main · commit ad86a669 · scanned 6/3/2026, 1:37:53 PM

GitHub: 714 stars · 46 forks

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 RUCAIBox/R1-Searcher, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, reinforcement-learning, rag, search-capability, knowledge-acquisition, ai-agents, language-models, deep-learning
  • highreadme#2
    Add a concise positioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    R1-Searcher is a specialized framework designed to train Large Language Models (LLMs) to dynamically acquire and utilize both internal and external knowledge through reinforcement learning, specifically enhancing their search capabilities. Unlike general RAG frameworks, R1-Searcher focuses on incentivizing and integrating search within the LLM's learning process.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2505.17005

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 RUCAIBox/R1-Searcher
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. OpenAI Function Calling · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. DeepSpeed · recommended 1×
  • CATEGORY QUERY
    How can I train a large language model to effectively use external search tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Hugging Face Transformers
    5. DeepSpeed
    6. PyTorch
    7. TensorFlow
    8. TRL (Transformer Reinforcement Learning) by Hugging Face
    9. DeepMind's Acme
    10. Elasticsearch
    11. OpenSearch
    12. Google Search API (Custom Search JSON API)
    13. Bing Web Search API
    14. DuckDuckGo API
    15. Pinecone
    16. Weaviate
    17. Qdrant

    AI recommended 17 alternatives but never named RUCAIBox/R1-Searcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for enhancing LLM knowledge acquisition through reinforcement learning?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. TRL (huggingface/trl)
    3. OpenAI Baselines (openai/baselines)
    4. Acme (deepmind/acme)
    5. Ray RLlib (ray-project/ray)
    6. OpenAI Gym (openai/gym)
    7. Farama Foundation Gymnasium (Farama-Foundation/Gymnasium)
    8. PyTorch (pytorch/pytorch)
    9. TensorFlow (tensorflow/tensorflow)

    AI recommended 9 alternatives but never named RUCAIBox/R1-Searcher. 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 RUCAIBox/R1-Searcher?
    pass
    AI named RUCAIBox/R1-Searcher explicitly

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

  • If a team adopts RUCAIBox/R1-Searcher in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RUCAIBox/R1-Searcher 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 RUCAIBox/R1-Searcher solve, and who is the primary audience?
    pass
    AI named RUCAIBox/R1-Searcher explicitly

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

Embed your GEO score

Drop this badge into the README of RUCAIBox/R1-Searcher. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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RUCAIBox/R1-Searcher — 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