Company
Tensorflow
Prompts where Tensorflow is mentioned
Brands:Pytorch,
Tensorflow,Nccl,Infiniband,Roce
Brands:Cuda,Rocm,Pytorch,
Tensorflow,Jax
Brands:Nvidia,
Pytorch,
Tensorflow,Rapids,Nvidia Container Toolkit
Brands:
Gcs,Hf Hub,
Pytorch,
Tensorflow
Brands:Kserve,Nvidia Triton,Triton,Kubeflow,Tensorflow
Brands:Triton,Tensorflow,
Pytorch,Onnx,Tensorrt
Brands:Vertex,
Google Cloud,
Gcp,Databricks Model Serving,
Databricks
Brands:Fastapi,
Pytorch,
Tensorflow,Torchserve,Tensorflow Serving
Brands:Python,
Pandas,
Pyarrow,
Polars,
Pytorch
Brands:Nvidia Triton,Kserve,Pytorch,
Tensorflow,Onnx
Brands:Aws Sagemaker,Google Vertex,Azure Machine Learning,Hugging Face,Kserve
Brands:Pytorch,
Tensorflow,Onnx Runtime
Brands:Faiss,Scann,Annoy,Pytorch,
Tensorflow
Brands:Vertex,
Google Cloud,
Bigquery,
Azure Ml,
Azure
Brands:Nvidia Triton Inference Server,Ray Serve,Pytorch,
Tensorflow,Onnx Runtime
Brands:Databricks,
Snowflake,
MLflow,
Pytorch,
Tensorflow
Brands:Google Cloud Vision Api,Aws Rekognition,Microsoft Azure Computer Vision,OpenAI,
Tensorflow
Brands:Google Cloud Vision,Aws Rekognition,Azure Computer Vision,Clarifai,Imagga
Brands:OpenCV,Yolov8,Yolo11,Ultralytics,Anomalib
Brands:Python,R,Stan,Pymc,Jax
Brands:Librosa,Cupy,Rapids,Torchaudio,Pytorch
Brands:Google Cloud Healthcare,Vertex,Med Palm,Microsoft Azure Ai For Health,Azure Health Data Services
Brands:Patronus,Arize AI,
Whylabs,Fiddler,
Weights & Biases
Brands:Philips Intellisite Pathology,Aiforia,Proscia,PathAI,Indica Labs
Brands:Weights Biases W B,MLflow,
Comet,Tensorboard,
Pytorch
Brands:Pytorch,
Tensorflow,Jax,Scikit Learn,Xgboost
Brands:Pytorch,Deepspeed,Megatron Lm,Horovod,
Tensorflow
Brands:Pytorch,
Tensorflow,Jax,
Hugging Face,
Vllm
Brands:Hugging Face Course,
MLflow,
Weights & Biases,W B,
Deeplearning
Brands:Git,Dvc,Lakefs,
Docker,Conda
Brands:Pytorch,
Tensorflow,Jax,Deepspeed,Megatron Lm
Brands:Yolov8,Yolov10,Pytorch,Onnx,Tensorrt
Brands:Google Vertex,Aws Sagemaker,Rekognition Custom Labels,Azure Custom Vision,Roboflow
Brands:Weights Biases W B,MLflow,Neptune,Pytorch Lightning,
Tensorflow
Brands:Terraform,
Pulumi,
Cloudformation,
Helm,
Kubernetes
Brands:Gcp,
Azure,
CoreWeave,
Lambda
Brands:Weights & Biases,W B,
MLflow,Neptune,
Comet
Brands:Pytorch,
Tensorflow,Scikit Learn,
Hugging Face,
Airflow
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (55 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.