Company
Lightning
Prompts where Lightning is mentioned
Brands:Sap Concur Travel,Navan,
TripActions,Deem,
Egencia
Brands:Weights Biases W B,MLflow,
Comet,Tensorboard,
Pytorch
Brands:Snorkel AI,Cleanlab,Snuba,Lightning,Wrench
Brands:Google Colab,Kaggle Notebooks,Deepnote,Microsoft Azure,Github Codespaces
Brands:Hugging Face,Google Vertex,
Azure Ml,Aws Sagemaker,
Deeplearning
Brands:Pytorch,Torchelastic,Deepspeed,
Hugging Face,Accelerate
Brands:Google Kubernetes Engine,Gke,Amazon Eks,Karpenter,Azure Kubernetes Service
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (12 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.