RRepoGEO

REPOGEO REPORT · LITE

TIGER-AI-Lab/OpenResearcher

Default branch main · commit 105134af · scanned 6/6/2026, 4:27:43 AM

GitHub: 770 stars · 75 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 TIGER-AI-Lab/OpenResearcher, 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
    Add a concise, differentiating opening statement to the README

    Why:

    COPY-PASTE FIX
    OpenResearcher is a fully open-source, LLM-powered pipeline designed for long-horizon deep research trajectory synthesis, enabling autonomous scientific discovery and literature review. Unlike general LLM orchestration frameworks, OpenResearcher provides a complete, end-to-end system specifically for complex research tasks.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Expand repository topics to include specific use cases and architecture

    Why:

    CURRENT
    deep-research, llm, retrieval
    COPY-PASTE FIX
    deep-research, llm, retrieval, autonomous-research, research-pipeline, scientific-discovery, agentic-ai, long-horizon-planning

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 TIGER-AI-Lab/OpenResearcher
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. AutoGPT · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How can I automate complex, multi-step research processes using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. Microsoft Semantic Kernel
    6. Haystack
    7. OpenAI Assistants API
    8. openai Python library
    9. anthropic Python library
    10. google-generativeai Python library

    AI recommended 10 alternatives but never named TIGER-AI-Lab/OpenResearcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source framework to build comprehensive LLM-powered research and retrieval systems.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. OpenAI Evals

    AI recommended 5 alternatives but never named TIGER-AI-Lab/OpenResearcher. 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 TIGER-AI-Lab/OpenResearcher?
    pass
    AI named TIGER-AI-Lab/OpenResearcher explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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TIGER-AI-Lab/OpenResearcher — 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