RRepoGEO

REPOGEO REPORT · LITE

ResearAI/DeepScientist

Default branch main · commit 3de24967 · scanned 5/19/2026, 1:37:12 PM

GitHub: 2,704 stars · 281 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 ResearAI/DeepScientist, 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
    Clarify the project's core purpose in the README's opening

    Why:

    CURRENT
    <p align="center">
      <a href="https://github.com/ResearAI/DeepScientist">GitHub</a> |
      <a href="README_ZH.md">中文文档</a> |
      <a href="docs/en/README.md">English Docs</a> |
      <a href="https://openreview.net/forum?id=cZFgsLq8Gs">Paper</a> |
      <a href="https://deepscientist.cc/">Website</a>
    </p>
    COPY-PASTE FIX
    <p align="center">
      DeepScientist is an AI agent designed to automate and accelerate scientific research workflows, leveraging large language models for tasks like literature review, experiment design, and code generation, while maintaining human oversight.
    </p>
    <p align="center">
      <a href="https://github.com/ResearAI/DeepScientist">GitHub</a> |
      <a href="README_ZH.md">中文文档</a> |
      <a href="docs/en/README.md">English Docs</a> |
      <a href="https://openreview.net/forum?id=cZFgsLq8Gs">Paper</a> |
      <a href="https://deepscientist.cc/">Website</a>
    </p>
  • mediumabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Now, Stronger AI Pushes Frontiers, Stronger Our Shared Future.
    COPY-PASTE FIX
    An AI agent for automating scientific research workflows, from literature review to experiment design and code generation, with human oversight.

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 ResearAI/DeepScientist
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. GitHub Copilot · recommended 1×
  3. AlphaFold · recommended 1×
  4. ChemGPT · recommended 1×
  5. Auto-GPT · recommended 1×
  • CATEGORY QUERY
    Tool to automate scientific research using AI code generation models with human oversight?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GitHub Copilot
    3. AlphaFold
    4. ChemGPT
    5. Auto-GPT
    6. BabyAGI
    7. Hugging Face Transformers Library
    8. Google Cloud AI Platform
    9. AWS SageMaker

    AI recommended 9 alternatives but never named ResearAI/DeepScientist. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Platform for managing AI-driven scientific research projects with reproducible workflows and progress tracking?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. Weights & Biases (wandb/wandb)
    3. Neptune.ai (neptune-ai/neptune)
    4. DVC (iterative/dvc)
    5. Pachyderm (pachyderm/pachyderm)
    6. Comet ML (comet-ml/comet-python-sdk)

    AI recommended 6 alternatives but never named ResearAI/DeepScientist. 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 ResearAI/DeepScientist?
    pass
    AI named ResearAI/DeepScientist explicitly

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

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

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

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ResearAI/DeepScientist — 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