RRepoGEO

REPOGEO REPORT · LITE

ShengranHu/ADAS

Default branch main · commit 2702bee8 · scanned 5/28/2026, 6:57:52 PM

GitHub: 1,583 stars · 237 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 ShengranHu/ADAS, 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 for agentic AI system design

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agentic-systems, automated-design, meta-learning, large-language-models, llm-agents, agent-frameworks, iclr-2025
  • highreadme#2
    Add a clear disambiguation for the 'ADAS' acronym in the README

    Why:

    CURRENT
    The README defines ADAS within the first paragraph.
    COPY-PASTE FIX
    Add the sentence "**Important Note: ADAS here stands for Automated Design of Agentic Systems, distinct from Advanced Driver-Assistance Systems.**" prominently near the top of the README, perhaps right after the main title.
  • mediumreadme#3
    Emphasize the 'agents inventing agents' differentiator in the README

    Why:

    CURRENT
    The README states: "We present a simple yet effective ADAS algorithm named **Meta Agent Search** to demonstrate that **agents can invent novel and powerful agent designs**."
    COPY-PASTE FIX
    Add a 'Key Differentiator' section or bullet point in the README's introduction, explicitly stating: 'Unlike traditional agent frameworks or AutoML tools, ADAS focuses on **agents inventing novel and powerful agent designs** through a meta-agent approach.'

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 ShengranHu/ADAS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud AutoML
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud AutoML · recommended 1×
  2. H2O.ai AutoML · recommended 1×
  3. Azure Machine Learning AutoML · recommended 1×
  4. Ray Tune · recommended 1×
  5. Ax · recommended 1×
  • CATEGORY QUERY
    How can I automatically design and optimize complex AI agent systems for specific tasks?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AutoML
    2. H2O.ai AutoML
    3. Azure Machine Learning AutoML
    4. Ray Tune
    5. Ax
    6. Hyperopt
    7. Optuna
    8. OpenAI Gym
    9. Stable Baselines3
    10. RLlib
    11. DEAP
    12. AutoGluon
    13. AutoKeras
    14. NNI

    AI recommended 14 alternatives but never named ShengranHu/ADAS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for inventing and combining novel building blocks for agentic AI architectures?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. Microsoft Guidance
    6. Haystack
    7. Instructor
    8. LMQL

    AI recommended 8 alternatives but never named ShengranHu/ADAS. 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 ShengranHu/ADAS?
    pass
    AI named ShengranHu/ADAS explicitly

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

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

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

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ShengranHu/ADAS — 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