RRepoGEO

REPOGEO REPORT · LITE

google-deepmind/simply

Default branch main · commit 5e869bdf · scanned 6/13/2026, 4:22:32 AM

GitHub: 532 stars · 63 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 google-deepmind/simply, 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
    Reposition README opening to clarify core purpose and avoid misinterpretation

    Why:

    CURRENT
    # Simply: Minimal Code for End-to-End Frontier LLM Research

*Simply* is a minimal and scalable research codebase in JAX, designed as an environment where both humans and AI agents can rapidly iterate on frontier LLM research.
    COPY-PASTE FIX
    # Simply: Minimal JAX Codebase for End-to-End Frontier LLM Research

*Simply* is a minimal and scalable JAX codebase specifically designed for rapid iteration on frontier LLM and other autoregressive model research. It provides a self-contained environment for both humans and AI agents to quickly implement, experiment with, and advance new ideas in large language models.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://deepmind.google/research/open-source/simply/ (or relevant project page)

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 google-deepmind/simply
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Trax
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Trax · recommended 2×
  2. Hugging Face Transformers · recommended 1×
  3. Flax Examples · recommended 1×
  4. JAX/Flax official documentation examples · recommended 1×
  5. Pathways · recommended 1×
  • CATEGORY QUERY
    What is a good JAX codebase for quickly experimenting with new LLM ideas?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Flax Examples
    3. Trax
    4. JAX/Flax official documentation examples
    5. Pathways

    AI recommended 5 alternatives but never named google-deepmind/simply. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a minimal JAX framework to scale up autoregressive model research with AI agents.
    you: not recommended
    AI recommended (in order):
    1. Equinox
    2. Flax
    3. Haiku
    4. Trax
    5. JAX
    6. Optax

    AI recommended 6 alternatives but never named google-deepmind/simply. 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 google-deepmind/simply?
    pass
    AI named google-deepmind/simply explicitly

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

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

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

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google-deepmind/simply — 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