REPOGEO REPORT · LITE
ShengranHu/ADAS
Default branch main · commit 2702bee8 · scanned 5/28/2026, 6:57:52 PM
GitHub: 1,583 stars · 237 forks
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.
- hightopics#1Add specific topics for agentic AI system design
Why:
CURRENT(none)
COPY-PASTE FIXai-agents, agentic-systems, automated-design, meta-learning, large-language-models, llm-agents, agent-frameworks, iclr-2025
- highreadme#2Add a clear disambiguation for the 'ADAS' acronym in the README
Why:
CURRENTThe README defines ADAS within the first paragraph.
COPY-PASTE FIXAdd 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#3Emphasize the 'agents inventing agents' differentiator in the README
Why:
CURRENTThe 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 FIXAdd 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.
- Google Cloud AutoML · recommended 1×
- H2O.ai AutoML · recommended 1×
- Azure Machine Learning AutoML · recommended 1×
- Ray Tune · recommended 1×
- Ax · recommended 1×
- CATEGORY QUERYHow can I automatically design and optimize complex AI agent systems for specific tasks?you: not recommendedAI recommended (in order):
- Google Cloud AutoML
- H2O.ai AutoML
- Azure Machine Learning AutoML
- Ray Tune
- Ax
- Hyperopt
- Optuna
- OpenAI Gym
- Stable Baselines3
- RLlib
- DEAP
- AutoGluon
- AutoKeras
- NNI
AI recommended 14 alternatives but never named ShengranHu/ADAS. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat frameworks exist for inventing and combining novel building blocks for agentic AI architectures?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- AutoGPT
- BabyAGI
- Microsoft Guidance
- Haystack
- Instructor
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI named ShengranHu/ADAS 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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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