The Writing Rules playbook made a real difference in how I write. I can now put out articles that consistently match my voice and intent, and even with the required HILT review, the whole process still saves me time.

The initial setup takes time to get right, and I'd tell anyone starting out to expect that. But it's worth the investment: the quality of everything I create depends on how well that foundation is built.

Setting up integrations was easy, on the other hand. I connected AirOps to Google Analytics and Search Console, so I could bring performance data straight into my workflows instead of copying it over by hand.

Quill has been just as valuable: it's a solid AI agent for adjusting my playbooks and grids, catching gaps, and suggesting improvements I wouldn't have caught on my own. Review collected by and hosted on G2.com.

There isn't anything I dislike about AirOps specifically. The system does have a learning curve, and it takes time to figure out how to get the most out of it. What makes up for that is the support: everyone on the team is responsive. They have a Slack channel where you can post any question and get an answer almost instantly. Review collected by and hosted on G2.com.

What I like best about AirOps is its ability to turn complex SEO and content workflows into a single, scalable system. The iterator-based workflows make it easy to scrape data, analyse SERPs, extract insights, and generate high-quality content automatically. Everything runs end-to-end in minutes, not hours, while still allowing granular control through logic and conditions. It replaces multiple tools with one flexible platform and delivers faster execution, better consistency, and measurable impact on search performance and LLM visibility. Review collected by and hosted on G2.com.

The platform can feel quite technical as you go deeper into advanced workflows, especially when working with iterators, logic, and multi-step automations. There is a learning curve, and some workflows require time to fully understand. That said, learning and practising along the way makes it much easier, and the power you gain is well worth the initial complexity. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I noticed along the way that AirOps is constantly working on improving its features and actually several new features were added within the first month of my usage. It improved and streamlined my processes even further. What would help is the option of choosing which AI tool is being used for Playbook feature. Review collected by and hosted on G2.com.

What I like most about AirOps is how it helps move AI from ad-hoc prompting into structured, scalable workflows. The Content Engineering program gave me a practical way to connect content, data, AI, automation, and human judgment in a cohesive process. I especially appreciate the emphasis on building repeatable systems grounded in real context, with quality controls and measurable outcomes, rather than simply generating more content. Review collected by and hosted on G2.com.

I didn’t notice many significant downsides throughout the program. Review collected by and hosted on G2.com.

The platform is evolving constantly, but I find Quill, the smart AI assistant, to be the most helpful part, enabling non-techies like myself to actually build AI agents through a conversation. I also LOVE the MCP feature. Review collected by and hosted on G2.com.

I don't dislike it, but I sometimes feel overwhelmed by how quickly new features are introduced. It requires me to allocate additional time to catch up with the platform. That said, all the recent updates have been truly helpful so far. Review collected by and hosted on G2.com.

I love Airops for its super cool and amazing design. I like how advanced it is and appreciate the great output it provides, which gives us measurable results. It's also super customizable, allowing us to build workflows from scratch tailored to specific clients, use cases, locations, or tasks. This advanced capability helps create the most tailored approach and workflows. The design makes it nice to work with, and it just looks amazing. Review collected by and hosted on G2.com.

To be honest, sometimes, workflows are breaking. However, that's normal because sometimes we make too advanced however, their Copilot and support team are really helpful and always help us. The initial setup took quite some time, to be honest. So I would say the first two weeks were hard, but now a lot of things can be reusable and duplicated. So now it's easy. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The platform is genuinely capable, and most of our friction so far has come from getting that capability organized, not from limits in what it can do. These read to us as early speed bumps rather than dealbreakers, and a few targeted improvements would smooth them out:

Getting oriented across workflows, power agents, and playbooks. The three building blocks are powerful on their own, and once they click the potential is obvious. The learning curve is in understanding how they relate and how information passes between them, which took us some time up front. That meant our early energy went into setup and logistics before we could get to the content creation and automation we're most excited about. A clearer mental model would shorten that ramp, whether it's a visual map of how the pieces hand off to each other, a guided "first automation" path, or a few templates showing all three working together end to end.

Smoothing out setup and connections. Routing data between tools takes a bit more technical setup than we expected. As one example, we ran into a Notion authentication issue and worked with support to get it sorted, which they handled well. The opportunity is to make more of that self-serve: tighter setup flows for common connections, clearer messages when an authorization doesn't go through, and a quick way to confirm a connection is live before running a full playbook. Small changes there would let teams get moving faster on their own.

Tightening up playbook reliability. Occasionally a playbook will stall on a long load or need a quit-and-refresh to get going again. It's a manageable workaround today, but smoothing it out would make longer automations feel more dependable. Clearer failure states instead of an open-ended spinner, and the ability to retry or resume a stalled step without starting over, would make a noticeable difference in day-to-day flow.

None of these have changed our read that the core platform is worth investing in. They're the rough edges you'd expect this early, and the capability underneath is strong enough that smoothing the setup, connection, and reliability layers would take an already-promising tool and make it something we lean on without a second thought. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I’m finding it a little difficult to navigate because there are so many features. However, their customer support is amazing, and they’ve helped me a ton! Review collected by and hosted on G2.com.

I love the actionable insights from the opportunities section. I can easily extract many useful content ideas for my business in terms of prompts or pages.

Besides performance metrics, the workflow automation and content optimization tools are powerful. Review collected by and hosted on G2.com.

This software has a steep learning curve, and it is not a plug and play. This is suitable for mid size to Enterprise customers, who are interested in automations and producing high quality content at scale. Also, it does not provide integrations to CRM or other popular platforms that businesses use on a regular basis. Review collected by and hosted on G2.com.

What's made a big difference is the AirOps team itself. They've been real partners, not just a vendor. Responsive, collaborative, and willing to get in the weeds with us on new use cases. I joke that they read our minds — half the time a feature we've been wishing for just... appears. And when we've actually asked for something specific, it's been ready for us in a matter of weeks. That kind of turnaround is rare. Review collected by and hosted on G2.com.

Output accuracy is still the thing we watch most closely. We've caught incorrect stats, wrong product details, and facts that just needed a second look before publishing. It means editing time is still real. Also, the brand voice has felt a bit stiff in more recent outputs — more dictionary definition than "talking to a real person." Would love to see sourcing become more transparent so fact-checking is less of a manual lift! Review collected by and hosted on G2.com.