Company
Gcp Vertex
Prompts where Gcp Vertex is mentioned
Brands:Aws Sagemaker,Gcp Vertex,Azure Ml,
Databricks,
Fastapi
Brands:Aws Sagemaker,Ecs,Gcp Vertex,
Azure Ml,Hugging Face Inference Endpoints
Brands:Hugging Face Inference Endpoints,Aws Sagemaker,Azure Ml,Gcp Vertex,
OpenAI
Brands:Redis,
Eks
Brands:Kubernetes,Karpenter,Cluster Autoscaler,Nvidia Gpu Operator,Nvidia Triton Inference Server
Brands:Next Js,
Vercel,
Cloudflare Pages,
Fastapi
Brands:Replicate,
Modal,Runpod Serverless,Baseten,
Together AI
Brands:Terraform,
Pulumi,
Cloudformation,
Helm,
Kubernetes
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (8 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.