RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/drzero

Default branch main · commit 98c4a6dd · scanned 6/3/2026, 11:23:05 PM

GitHub: 519 stars · 64 forks

AI VISIBILITY SCORE
28 /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
2 / 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 facebookresearch/drzero, 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
    self-evolving-agents, data-free-learning, generative-ai, large-language-models, ai-agents, automated-curriculum, computational-efficiency
  • highreadme#2
    Strengthen the README's opening sentence to clarify core differentiator

    Why:

    CURRENT
    This repository contains the code for **Dr. Zero: Self-Evolving Search Agents without Training Data**.
    COPY-PASTE FIX
    This repository presents **Dr. Zero**, a groundbreaking framework for developing **self-evolving AI search agents that learn and improve autonomously without any human-labeled training data.**
  • mediumreadme#3
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on the applicable terms and conditions.

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 facebookresearch/drzero
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. Stable Baselines3 · recommended 2×
  4. OpenAI Gym · recommended 1×
  5. Farama Foundation Gymnasium · recommended 1×
  • CATEGORY QUERY
    Seeking a framework for developing autonomous agents capable of self-improvement without pre-labeled datasets.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Farama Foundation Gymnasium
    3. PyTorch
    4. TensorFlow
    5. RLlib
    6. Stable Baselines3
    7. DeepMind's Acme
    8. DEAP

    AI recommended 8 alternatives but never named facebookresearch/drzero. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I reduce computational cost for training intelligent agents using self-generated tasks?
    you: not recommended
    AI recommended (in order):
    1. Tracery
    2. Wave Function Collapse
    3. Unity
    4. ProBuilder
    5. Cinemachine
    6. Stable Baselines3
    7. Ray RLlib
    8. Acme
    9. Unreal Engine
    10. MuJoCo
    11. Isaac Gym
    12. ALP-GMM
    13. POET
    14. PyTorch
    15. TensorFlow
    16. Ray
    17. Apache Spark
    18. Kubernetes

    AI recommended 18 alternatives but never named facebookresearch/drzero. 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 facebookresearch/drzero?
    pass
    AI did not name facebookresearch/drzero — likely talking about a different project

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

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