Manufacturing
6 subverticals
Subverticals
Automotive manufacturing
80 prompts · 88 observations
Consumer manufacturing
80 prompts · 86 observations
Pharma manufacturing
80 prompts · 86 observations
Food manufacturing
80 prompts · 85 observations
Electronics manufacturing
80 prompts · 84 observations
Industrial manufacturing
80 prompts · 82 observations
Prompts
Brands:Mes,Erp,Lims,Scada,Plc
Brands:Ce,Ukca,Ul,Csa,Nsf
Brands:Opc Ua,Modbus Tcp Rtu,Ethernet Ip,Profinet,Mqtt
Brands:Erp,Mes,
SAP,Lims,Qms
Brands:Thomasnet,Packaging Digest,Pmmi,
Brands:Macrofab,Tempo Automation,Jabil,Plexus,Fictiv
Brands:Erp,Mes,
Mqtt,
Kafka,
Rabbitmq
Brands:Erp,Scada,
Mqtt,
Kafka,
Rabbitmq
Brands:Trackwise Digital,Sparta Systems,Honeywell,Mastercontrol,Veeva Quality
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus. 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.