Company
Aws Iot Core
Prompts where Aws Iot Core is mentioned
Brands:Raspberry Pi,Docker,Mosquitto,
Nats,
Redis
Brands:Validic,Healthkit,Health Connect,Fitbit,
Garmin
Brands:Aws Iot Core,Aws Iot Greengrass,Kinesis,Azure Iot Hub,Google Cloud Iot
Brands:Geotab,
Samsara,Masternaut,Motiv,Lytx
Brands:Node Red,
Python,
Go,
Mqtt,Influxdb
Brands:Thingsboard Community Edition,Node Red,Influxdb,
Grafana,Ubidots
Brands:Aws Iot Device Management,Aws Iot Core,Amazon Eventbridge,Sns,Azure Iot Hub
Brands:Datadog,
Sentry,
New Relic,Microsoft Azure Monitor,Application Insights
Brands:Aws Iot Device Management,Aws Iot Core,Cloudtrail,Cloudwatch,Microsoft Azure Iot
Brands:Ros 2,Dds,Kafka,
Mqtt,
Nats
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (13 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.