We're piloting AirOps, so this is early hands-on, not a year in production.
AI and intelligence. This is the best part of the platform, and the reason we're in. The intelligence is the real thing, especially for SEO and content work. It scouts, it handles backlinking, and it holds context across a task better than we expected. Wire in your MCP connections and it gets sharper fast, because now it's pulling from your actual sources instead of guessing. If output quality is what you care about, this is where AirOps wins.
Integrations. The easy part. AirOps drops cleanly into an MCP setup, so connecting our tools and sources was quick, and those connections are what make the AI as good as it is. If you're already working in MCP, this will feel native.
Support and onboarding. A real strength. Onboarding was thorough enough to get us working without a lot of trial and error, and support has been quick when we needed it. For a platform with this much going on, that counts for more than it sounds.
UI and UX. Where there's the most room to improve. You get workflows, power agents, and playbooks, and all of it is capable, but figuring out how they fit together and when to reach for which takes a while. The power is all there. The work is the learning curve to reach it. Plan on leaning on that onboarding to get over the hump.
Performance. The other soft spot. We've hit lag and a few bugs in normal use. Nothing that's stopped us cold, but enough to break flow and get noticed. For a tool you'd run every day, this is what we'd most want tightened.
Pricing and ROI. Still TBD. We're in the pilot, so putting a number on the value right now wouldn't be honest. We'll know more once we've run it long enough to weigh output against cost. The signal looks good. The proof isn't in yet for us specifically.
Where it nets out. AirOps lives and dies on its AI, and the AI is excellent, especially once MCP is feeding it context. Support has your back while you learn it. The catch is a UX that takes real work to figure out and performance that can stutter. If you want AI quality and you'll put in the ramp, it's worth a serious look. We'll report back on ROI once the pilot has legs.
Saving time and manual work in the first place. Playbook feature is really changing how one can work with content. Copilot is built perfectly to guide along the way of building and improving workflow that are used daily. I managed to handle multiple contexts in a short period of time and cover several use cases for our content team. By connecting AirOps to GSC and GA it gave us various opportunities and insights for improvements.
I like that you can customize a brand kit to match your exact product lines, ICP, writing rules for each ICP, and more. It makes it easier to create unique, tailored content that actually fits what you’re trying to say. I also love the AirOps MCP in claude - being able to write directly into the brand kit from my Claude account is a game changer.
AirOps is the growth platform for AI search. Buyers now skip the website and go straight to the prompt, so the story AI engines tell about your brand is your most important marketing asset. AirOps gives enterprise marketing teams one system to see how they show up across ChatGPT, Gemini, Perplexity, and Google AI, act on the most important opportunity areas, and measure what moves. The difference is action at scale: Quill, the AI agent at the center of AirOps, turns insights into published work no team could produce alone, drafting, refreshing, and monitoring content against your brand with humans in the loop. Your team sets the strategy. Quill runs the execution.