TL;DR: We're launching AirOps implementation services for content teams. Animalz brings strategy, content engineering, and editorial expertise for growing AI search citations and conversions from your AirOps content engine.
Enterprise AI implementation can't be done by robots. You need specialists in system architecture, data analysis, change management, and many other disciplines.
Major AI companies are now embracing such consultant-driven implementations. OpenAI launched the Deployment Company, Anthropic spun up its own services venture, and Google plans to hire hundreds of "forward deployed engineers."
We believe content marketing will see a similar dynamic, where content teams will need help from implementation experts to get the most out of AI platforms like AirOps. That's why we now offer AirOps implementation services for content teams.
Why We Bet on AirOps
AirOps lets you bring AI into all aspects of content marketing: strategy, AEO, research, production, and QA (if you know what you're doing).
We started working with AirOps in 2024 after evaluating several solutions. We chose AirOps because the platform gives content experts real control instead of locking you into rigid templates. We also love that their team is committed to content specifically: not sales, not AI for everything, not marketing broadly, but content marketing.
AirOps has built real momentum under CEO Alex Halliday (whom we had as a podcast guest), including a $40 million Series B led by Greylock at the start of this year.
Our CEO Ty was in San Francisco recently and everyone was asking about AirOps. More importantly, the company has accelerated product development, including the recent launch of Quill, the agentic Playbooks layer we've been using in production.
What Animalz Adds to AirOps
AirOps is an incredibly powerful platform, and the team ships new capabilities fast. But operating an AI content engine is different from writing an article. Without the right expertise, AI content programs slip into slop fast.
We help your team set up and run AirOps so it uses every capability the platform offers, fits your strategy, and produces content that sounds like you.
That's the expertise we've built over the past year, and what we now offer as a service. We bring five essentials to every AirOps program we run:
AI-first strategy. Volume isn't the strategy. We pick what's worth running through AirOps, set the cadence, anchor with gold-standard articles, and wire up attribution that proves what's working.
Content engineering. We build the AirOps processes that produce your content through prompt design, brand calibration, agentic system architecture, and context engineering.
Your point of view. We work with your team to inject real perspective, original research, and frameworks into your content engine, so the system produces content worth reading and citing.
Animalz in the Loop. We insert our editorial team directly into your AirOps setup. They keep slop out before it ships, applying over a decade of content experience and proven frameworks.
Citations copilot. We use AirOps to accelerate citation outreach so you get mentioned in the sources that matter for your prompts. Same editorial judgment, applied at a volume manual outreach can't reach.
As we wrote before, AI content systems need “the editorial instinct to know what good looks like, and the engineering mindset to build the machine that produces it.” Most content teams have the first piece and very little of the rest.
We offer four types of AirOps implementation projects:
SEO and AEO content production: Full AirOps pipelines from keyword or prompt to published article, built for AI Overviews, ChatGPT, and the citation economy.
Content refresh systems: Automated AirOps systems that monitor and update assets that have slipped, gone stale, or need revival.
AirOps workflow audits: A review of existing workflows or playbooks with recommendations for fixes or rebuilds, shipped as upgrades in your AirOps instance.
Custom AirOps workflows: Solutions for use cases standard AirOps templates don’t cover, especially outside of AEO. We’ve built AI-assisted processes for research, LinkedIn ghostwriting, and whitepapers.
These projects are usually part of a larger content program that also includes strategy, citation growth, and thought leadership.
We can build in your own AirOps environment (on your subscription), and you can put Animalz in the loop to embed our editorial judgment in your system. We also provide a fully managed solution if you don't want to handle your own AirOps environment, or if you want to try a specific use case before committing to a full setup.
AEO Results From Programs We Run
AEO results can show up in weeks, not the months traditional SEO requires. Here's what we're seeing from programs we run:
B2B SaaS customer in CX agent optimization: share of voice grew from 12% to 54% across April and May, with monthly citations rising from 21 to over 700.
Industrial software category leader: sustained 67–70% share of voice across the past three months, with citation volume in the tens of thousands per month.
B2B SaaS customer in revenue operations: 40% citation growth month-over-month while holding 65–70% share of voice in their category.
Animalz blog: our Claude Code guide earned 4,140 citations across 39 unique prompts in the past two months, with a 4.46% citation rate. Built end-to-end on our AirOps stack.
Build Intelligent Content with AirOps and Animalz
Intelligent content is here because of platforms like AirOps. Instead of static artifacts that decay on publish, we’re moving toward living systems that adapt, compound, and improve all the time.
This shift means modern content teams will look more and more like product teams: designing, measuring, iterating, and learning. Such work needs different skills, and you won’t always have those in-house.
We've spent the past year building up that expertise inside Animalz and combining it with over a decade of B2B content mastery. We’d love to bring this unique skill set to your AirOps implementation.
If you want to explore what’s possible with AirOps, are stuck with an instance that’s halfway built, or you're wondering whether you should be on the platform at all, let’s chat.