RRepoGEO

REPOGEO REPORT · LITE

mshumer/autonomous-researcher

Default branch main · commit 6006b2cb · scanned 6/15/2026, 2:03:32 AM

GitHub: 801 stars · 171 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 mshumer/autonomous-researcher, 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
  • highabout#1
    Add a concise description to the repo's "About" section

    Why:

    COPY-PASTE FIX
    An autonomous AI agent that takes a research objective, orchestrates GPU-enabled experiments, and delivers a paper-style writeup with findings.
  • highreadme#2
    Reposition the README's opening to clarify its category and differentiate from MLOps/orchestration

    Why:

    CURRENT
    An autonomous AI researcher. It takes a research objective, breaks it into experiments, spins up separate agents with access to their own GPUs to run these experiments, and delivers a paper-style writeup with findings.
    COPY-PASTE FIX
    Autonomous AI Researcher is an advanced AI agent that automates the entire research process, from objective breakdown to paper-style writeups. It's a specialized tool for AI-driven research and experimentation, distinct from general MLOps platforms or distributed computing frameworks.

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 mshumer/autonomous-researcher
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mlflow/mlflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. mlflow/mlflow · recommended 2×
  2. wandb/wandb · recommended 1×
  3. comet-ml/comet-python-sdk · recommended 1×
  4. tensorflow/tensorboard · recommended 1×
  5. Lightning-AI/lightning · recommended 1×
  • CATEGORY QUERY
    How can I automate AI model experimentation and generate research findings?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. Weights & Biases (wandb/wandb)
    3. Comet ML (comet-ml/comet-python-sdk)
    4. TensorBoard (tensorflow/tensorboard)
    5. PyTorch Lightning (Lightning-AI/lightning)
    6. DVC (iterative/dvc)
    7. Kedro (kedro-org/kedro)

    AI recommended 7 alternatives but never named mshumer/autonomous-researcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to orchestrate multiple AI agents for complex research tasks with GPU access?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (kubernetes/kubernetes)
    2. Kubeflow (kubeflow/kubeflow)
    3. Ray (ray-project/ray)
    4. MLflow (mlflow/mlflow)
    5. Databricks
    6. AWS SageMaker
    7. Google Cloud Vertex AI
    8. Apache Airflow (apache/airflow)
    9. Prefect (PrefectHQ/prefect)
    10. Metaflow (Netflix/metaflow)

    AI recommended 10 alternatives but never named mshumer/autonomous-researcher. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 mshumer/autonomous-researcher?
    pass
    AI named mshumer/autonomous-researcher explicitly

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

  • If a team adopts mshumer/autonomous-researcher in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mshumer/autonomous-researcher 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 mshumer/autonomous-researcher solve, and who is the primary audience?
    pass
    AI named mshumer/autonomous-researcher 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 mshumer/autonomous-researcher. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mshumer/autonomous-researcher.svg)](https://repogeo.com/en/r/mshumer/autonomous-researcher)
HTML
<a href="https://repogeo.com/en/r/mshumer/autonomous-researcher"><img src="https://repogeo.com/badge/mshumer/autonomous-researcher.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mshumer/autonomous-researcher — 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