AirOps

The Solution & Approach

AirOps is the content-operations layer of the AEO/GEO category. Agents generate long-form blog, case study, refresh, and research content that runs against a customer's brand guidelines and site structure. The company started as a no-AI data-access tool, pivoted to LLM workflows after GPT-4, then narrowed onto marketing content as marketers became its dominant users.

Its category POV is that measurement and placement belong in one company. AirOps pairs a measurement stack (Page360, Prompt Discovery, prompt mining) with a placement product (AirOps Offsite, which scores publisher influence on AI answers) and an end-to-end buyer-side agent (Quill, framed as "your AI agent captain to win AI search"). The supporting research is its own argument: 15,000 prompts retrieved 548,534 pages and only 15% were cited, so "85% never made the answer."

AirOps also runs a vocabulary play, formalizing a "Content Engineer" role through the AirOps Champions community, and leans on a public Anthropic relationship, including a Claude Connector and an Anthropic-published case study citing 2x productivity and 300% content-velocity gains for Carta.

Best for

Marketing teams that want to run content operations as an agent-driven system for AI search, including lean teams that operate a full content function with one or two people.

Pricing & trial

AirOps offers a free Solo plan (ChatGPT Insights only); Pro is sales-quoted and Enterprise is custom-priced, per airops.com/pricing. Pricing.

Agent Experience

How you build on this platform (or wire it into your own agents):

Strong: AirOps exposes an API reference, an MCP server used as both a read and write surface (including programmatic prompt management), llms.txt, a status page, and a Claude Connector, making it one of the more agent-wireable options in the category.

Reference customers

Carta, Webflow, Klaviyo, Kayak, Wiz, Ramp, Brex, Chime, Angi, HeyGen, Bilt, Statsig, Telnyx, Homebase, CookUnity, CreatorIQ, Lightspeed, Animalz, LegalZoom, Skio, Brainlabs, Bitly, Airbnb, OysterHR, Borderless AI, Fetch.

Case studies & customer stories

• Brainlabs grew AI share of voice 35% and reached 91% share of voice in Google AI Overview source
• LegalZoom saved $600K+ and cut article-refresh time 90% source
• Skio drove a 46% increase in clicks with a one-person marketing team source
• Anthropic case study on the AirOps collaboration (2x productivity, 300% content velocity for Carta) source

Recent moves

• 2026-06-11Published a Brainlabs case study reporting 35% growth in AI share of voice and 91% share of voice in Google AI Overview, run by a one-person content function. source
• 2026-05-27Detailed Quill's campaign-management layer in a webinar recap, with Fetch demoing live sentiment-gap analysis as the first named Quill customer shown publicly. source
• 2026-05-21Published a LegalZoom case study reporting $600K+ in cost savings and a 90% reduction in article-refresh time. source
• 2026-05-21Published a Skio case study in which a one-person marketing team drove a 46% increase in clicks in 28 days. source
• 2026-05-20Released AirOps Next 2026 research finding that YouTube has passed Reddit as the most-cited domain in AI answers and that off-site presence drives up to 85% of top-of-funnel AI influence. source
• 2026-05-13Launched Quill at AirOps Next NYC, an end-to-end agent Halliday framed as a captain to win AI search. source

Company, Financials & Funding History

Founded around 2022 in San Francisco by CEO Alex Halliday (previously Teespring, MasterClass, and Bungalow), COO Matt Hammel (ex-Bungalow), and CTO Berna Gonzalez, who built the core AI workflow engine. AirOps began as a no-AI data-access tool, pivoted to LLM workflows after GPT-4, then narrowed onto marketing content as marketers became its dominant users.