REPOGEO REPORT · LITE
FreedomIntelligence/HuatuoGPT-o1
Default branch main · commit 2c8d7fca · scanned 5/9/2026, 1:17:54 AM
GitHub: 1,310 stars · 131 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 FreedomIntelligence/HuatuoGPT-o1, 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 relevant topics to improve categorization
Why:
COPY-PASTE FIXmedical-llm, large-language-model, medical-reasoning, healthcare-ai, llm-finetuning, ppo, medical-verifier, open-source-llm
- highlicense#2Add a LICENSE file to clarify usage terms
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root with a standard open-source license (e.g., Apache-2.0 or MIT).
- mediumhomepage#3Add a homepage URL to the repository settings
Why:
COPY-PASTE FIXSet the repository homepage URL to https://arxiv.org/pdf/2412.18925.
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.
- ray-project/ray · recommended 3×
- GPT-4 · recommended 2×
- Med-PaLM 2 · recommended 1×
- Claude 3 Opus · recommended 1×
- Llama 2 · recommended 1×
- CATEGORY QUERYWhat large language models are best for complex medical diagnostic reasoning tasks?you: not recommendedAI recommended (in order):
- Med-PaLM 2
- GPT-4
- Claude 3 Opus
- Llama 2
- GatorTron
AI recommended 5 alternatives but never named FreedomIntelligence/HuatuoGPT-o1. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I build an AI system that performs advanced medical problem-solving and self-correction?you: not recommendedAI recommended (in order):
- Google Cloud Healthcare API
- Azure Health Data Services
- AWS HealthLake
- OpenNMT (OpenNMT/OpenNMT-py)
- Hugging Face Transformers (huggingface/transformers)
- GPT-4
- PaLM 2
- BERT
- RoBERTa
- BioBERT (dmis-lab/biobert)
- Protege
- TensorFlow (tensorflow/tensorflow)
- PyTorch (pytorch/pytorch)
- SHAP (shap/shap)
- LIME (marcotcr/lime)
- Apache Spark (apache/spark)
- Dask (dask/dask)
- Ray (ray-project/ray)
- RLlib (ray-project/ray)
- Tune (ray-project/ray)
AI recommended 20 alternatives but never named FreedomIntelligence/HuatuoGPT-o1. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
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 FreedomIntelligence/HuatuoGPT-o1?passAI named FreedomIntelligence/HuatuoGPT-o1 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts FreedomIntelligence/HuatuoGPT-o1 in production, what risks or prerequisites should they evaluate first?passAI named FreedomIntelligence/HuatuoGPT-o1 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 FreedomIntelligence/HuatuoGPT-o1 solve, and who is the primary audience?passAI named FreedomIntelligence/HuatuoGPT-o1 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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FreedomIntelligence/HuatuoGPT-o1 — 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