AI search visibility and content automation platform for enterprise marketers
AirOps sells an AI search growth platform that tracks how brands appear in ChatGPT, Gemini, Perplexity and Google AI, then automates content work through an agent. The stack is heavily LLM-native (OpenAI, Cohere, LangChain, RAG over pgvector, Weaviate and Pinecone) on Ruby on Rails and React. Hiring is accelerating and skews senior and marketing-led, with a new EMEA sales pipeline and six-figure enterprise deals in focus.
Notable leadership hires: Thought Leadership Lead
AirOps is a San Francisco-based software company founded in 2021 that builds a platform for answer engine optimization (AEO) and AI search visibility. Enterprise marketing teams use it to monitor brand presence across AI engines, prioritize opportunities and measure impact. An AI agent called Quill drafts, refreshes and monitors content with human review. The company is privately held, employs 51-200 people and hires across the United States, Canada and the United Kingdom.
AirOps runs Ruby on Rails, React, TypeScript and PostgreSQL with Redis, plus an AI layer of OpenAI, GPT-4o, Gemini, Cohere, LangChain and vector stores like pgvector, Weaviate and Pinecone, orchestrated with Airflow and Prefect.
Yes. Hiring is accelerating, led by marketing with additional roles in engineering, sales, ops and product, mostly at senior level, across the United States, Canada and the United Kingdom.
AirOps is building an EMEA sales pipeline, automating its outbound stack, creating repeatable sales playbooks, and rolling out AI-native internal workflows for deal desk and business reporting.
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AirOps's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.