AirOps

For two decades, the job of a marketing team was clear enough: rank on the first page of Google and earn the click. AirOps was built on the premise that this page is quietly disappearing. When a customer now asks ChatGPT, Perplexity, Gemini or Claude a question, the model often answers directly - citing some brands and ignoring others. Whether your name appears in that answer has become a business outcome.

AirOps, founded in San Francisco in 2022 by Alex Halliday, Matt Hammel and Berna Gonzalez, set out to give teams a way to see and shape that visibility. The platform does two connected things: it measures how often AI models mention a brand and where the gaps are, then it helps teams create and refresh content designed to close them. The company calls the discipline "content engineering," and it is trying to make the term - and the job title behind it - as ordinary as "SEO manager" once became.

The bet drew fast money. In November 2025, AirOps raised a $40 million Series B led by Greylock, with a term sheet that reportedly closed in five days. Fortune pegged the round at a $225 million valuation. The company had grown from roughly 20 people to nearly 100 over the year, and lined up customers including Ramp, Webflow, Chime, Carta, Klaviyo and Kayak.

Most tools in this space pick a lane: either an analytics dashboard that tells you how you're doing, or a writing assistant that hands you a draft. AirOps argues the two only work together. Its Insights side tracks brand citations, competitor share of voice, and how a brand surfaces across AI models. Its Action side turns those findings into published, on-brand pages.

The distinction that matters to AirOps is how the content gets made. Instead of a single prompt, it runs multi-step workflows that stitch together several models, a company's own proprietary data, brand-governance rules, and a human reviewer. The stated goal is content that is "impossible to copy" because it rests on data a competitor doesn't have.

Who uses it: in-house marketing, SEO and content teams at mid-market and enterprise brands, plus agencies running content at scale. The problem it solves: keeping a brand visible, accurate and cited as discovery moves from search engines to answer engines - across pages a company may have published years ago.

AirOps is led by CEO Alex Halliday, who previously served as VP of Product at Bungalow and earlier at MasterClass, and spent time as a venture partner at SparkLabs. Co-founder Matt Hammel, now COO, ran customer and business operations at Bungalow. Berna Gonzalez rounds out the founding team.

Their shared thesis is that AI content only creates value when it can't be trivially reproduced. Halliday describes a "treasure hunt" for the unique data inside an organization, and argues the future belongs to content engineered from that data rather than generated from a generic prompt. It is a view shaped as much by running marketing organizations as by building software.

AirOps is a B2B SaaS company. It sells subscription access to its platform, with revenue scaling on seats, usage of AI workflows, and higher tiers that add governance, integrations and analytics. Larger brands are served through an enterprise motion. A third-party estimate puts annual revenue near $6.1 million, though the company has not confirmed a figure.

The market it sits in is new enough that its vocabulary is still forming - AEO (answer engine optimization), GEO (generative engine optimization), and "content engineering" all describe pieces of the same shift. AirOps competes with AI-visibility upstarts such as Profound and Scrunch AI, AI writing platforms like Jasper and Writesonic, SEO-content tools including Surfer and Clearscope, and established suites like Semrush and Ahrefs adding AI features. Its wager is that owning both measurement and making, in one loop, is the durable position.