AirOps is a content engineering platform built for marketing and growth teams that want to compete in the era of AI search, where visibility increasingly depends on appearing in AI Overviews, ChatGPT answers, and other generative engines, not just classic blue links. Rather than offering a single AI writing box, AirOps lets teams build structured, multi-step content workflows that combine multiple large language models with a company's brand data, proprietary research, and data sources. This workflow-centric approach is designed to produce content engineered for ranking and citation rather than generic AI output.
The platform is explicitly positioned against low-quality AI content. AirOps emphasizes content engineering, optimization for both SEO and answer engine optimization (AEO), and the governance needed to keep large content programs on-brand and accurate. Growth teams use it to run data-driven programmatic content campaigns that can drive large gains in organic traffic, while agencies use it to rethink how they deliver measurable growth for clients. The system supports research, generation, optimization workflows, and visibility tracking across both Google and AI search surfaces.
As AI search reshapes how brands get discovered, AirOps has leaned into generative engine optimization (GEO) and AEO, helping brands monitor and improve how they show up when buyers ask questions of AI assistants. This positions the company at the intersection of content production and the emerging discipline of AI search visibility.
AirOps raised a $7 million seed round, then a $15.5 million Series A in October 2024 led by Unusual Ventures with participation from Wing VC, Founder Collective, and others. In November 2025 it raised a $40 million Series B led by Greylock, bringing total funding to roughly $63 million. The company is using the capital to expand its platform for AI search and answer engine optimization.