RRepoGEO

REPOGEO REPORT · LITE

GAIR-NLP/DeepResearcher

Default branch main · commit 82c6dc2d · scanned 6/7/2026, 7:37:53 PM

GitHub: 760 stars · 53 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 GAIR-NLP/DeepResearcher, 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-agents, reinforcement-learning, deep-research, web-environments, autonomous-agents, ai-research, natural-language-processing, large-language-models
  • highreadme#2
    Refine README introduction to clarify agent focus and avoid web scraping miscategorization

    Why:

    CURRENT
    DeepResearcher is the first comprehensive framework for end-to-end training of LLM-based deep research agents through scaling reinforcement learning (RL) in real-world environments with authentic web search interactions.
    COPY-PASTE FIX
    DeepResearcher is the first comprehensive framework for end-to-end training of **LLM-based deep research agents** that autonomously navigate and synthesize information from real-world web environments. Unlike generic web scraping tools, DeepResearcher focuses on emergent cognitive behaviors through reinforcement learning to perform complex, iterative research.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://gair-nlp.github.io/DeepResearcher/

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 GAIR-NLP/DeepResearcher
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scrapy/scrapy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. scrapy/scrapy · recommended 1×
  2. crummy/BeautifulSoup4 · recommended 1×
  3. psf/requests · recommended 1×
  4. microsoft/playwright · recommended 1×
  5. SeleniumHQ/selenium · recommended 1×
  • CATEGORY QUERY
    How can I train an LLM agent to perform comprehensive research using real-world web data?
    you: not recommended
    AI recommended (in order):
    1. Scrapy (scrapy/scrapy)
    2. Beautiful Soup (crummy/BeautifulSoup4)
    3. Requests (psf/requests)
    4. Playwright (microsoft/playwright)
    5. Selenium (SeleniumHQ/selenium)
    6. PostgreSQL
    7. MongoDB (mongodb/mongo)
    8. Elasticsearch (elastic/elasticsearch)
    9. spaCy (explosion/spaCy)
    10. NLTK (nltk/nltk)
    11. Hugging Face `transformers` library (huggingface/transformers)
    12. Pinecone
    13. Weaviate (weaviate/weaviate)
    14. Chroma (chroma-core/chroma)
    15. Sentence Transformers (UKPLab/sentence-transformers)
    16. OpenAI Embeddings
    17. LangChain (langchain-ai/langchain)
    18. LlamaIndex (run-llama/llama_index)
    19. Serper API
    20. Google Custom Search API
    21. GPT-4
    22. GPT-3.5 Turbo
    23. Claude 3
    24. Llama 3 (meta-llama/llama3)
    25. Mixtral 8x7B (mistralai/mistral-src)
    26. PyTorch (pytorch/pytorch)
    27. TensorFlow (tensorflow/tensorflow)
    28. peft (huggingface/peft)
    29. OpenAI Fine-tuning API
    30. MLflow (mlflow/mlflow)
    31. Weights & Biases (wandb/wandb)

    AI recommended 31 alternatives but never named GAIR-NLP/DeepResearcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable LLM agents to learn complex research tasks through reinforcement in web environments?
    you: not recommended
    AI recommended (in order):
    1. BabyAGI
    2. AutoGPT
    3. LangChain
    4. LlamaIndex
    5. OpenAI Gym
    6. Farama Foundation Gymnasium
    7. Hugging Face Transformers Agents

    AI recommended 7 alternatives but never named GAIR-NLP/DeepResearcher. 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 GAIR-NLP/DeepResearcher?
    pass
    AI named GAIR-NLP/DeepResearcher explicitly

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

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

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

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GAIR-NLP/DeepResearcher — 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