Writing
Enterprise generative AI for on-brand marketing content.
AirOps is a platform for teams that want AI content production to be repeatable rather than improvised. Instead of pasting prompts into a chatbot one by one, teams build workflows, chains of AI steps with brand knowledge, model choices and human review stages, and run them again and again on new inputs. That workflow idea, combined with newer AI search visibility tracking, is what makes AirOps a team platform rather than a single-user writing tool.
The product has shifted emphasis over time. It began as a content workflow builder, and it now also covers answer-engine optimisation: tracking how a brand appears in AI answers across engines such as ChatGPT, Google AI Mode, Perplexity and Google AI Overviews, then turning those insights into content work. For a content team, the appeal is the closed loop: see where visibility is weak, build a workflow to produce the missing content, publish it, and measure again.
Workflows are the core building block. A workflow strings together steps such as research, drafting, editing and formatting, grounded in Brand Kits and Knowledge Bases that hold approved facts, voice and examples. Human review steps can pause a workflow for approval before anything publishes, which matters for regulated or brand-sensitive content. AirOps supports more than 30 AI models, so a step can use the model best suited to that task, and integrations connect to content systems and SEO tools for publishing and measurement.
On the visibility side, AirOps tracks prompts and pages, reports opportunities for new or improved content, and offers tools such as Quill for drafting, Playbooks for repeatable processes, and Grid views for monitoring. The free tier gives a genuine taste of both sides, with task allowances for building workflows and tracked prompts for visibility. Paid tiers raise task limits, add multi-engine insights and unlimited seats, and scope the program to the team’s needs rather than selling a fixed self-serve price.
AirOps offers a free Solo plan with 20,000 tasks per month, 100 tracked prompts and pages, ChatGPT insights, 1 Brand Kit and 3 Knowledge Bases. The Pro plan raises this to 75,000 tasks, multi-engine insights, weekly opportunity reports and unlimited seats, but AirOps does not publish a set Pro price on its pricing page; pricing is quoted per program. Enterprise is custom priced with custom limits, multiple regions, a dedicated account manager and one-to-one onboarding. Two independent reviews in 2026 report Solo at about 200 dollars per month and Pro at about 2,000 dollars per month, but those figures are NOT on AirOps’ own pricing page and must not be treated as checkout prices. Sources: airops.com pricing and product pages via third-party reviews checked 31 October 2026. NEEDS_VERIFICATION: the actual quoted Solo and Pro prices, since the official page leaves them unpriced.
AirOps is built for teams with an existing content operation, and that shows in both setup and price. Building good workflows takes upfront investment: defining brand knowledge, choosing models per step, and setting review stages is real work, and a team without that discipline will get little more than a complicated chatbot. The unpriced Pro tier is a second hurdle, since buyers cannot budget without a sales conversation, and the reported figures, if accurate, put Pro well beyond small-team budgets.
There is also a scope question. AirOps tries to cover both visibility monitoring and content execution, which is powerful when both are needed, but a team that only needs one half may find a focused tool simpler and cheaper. Task-based pricing adds another variable: heavy workflow runs consume tasks, so a busy month costs attention as well as money. AirOps suits content teams ready to systematise production; solo writers will find it overbuilt.
Start on the free plan with one real workflow, not a demo: pick a recurring content type, build its steps, add one human review stage, and run it on five real inputs. Measure how much editing each output needs before expanding. For visibility, track a small set of prompts you actually care about, and act on one opportunity report before adding more tracking. Only discuss Pro once you know your monthly task volume, since that number drives the quote more than seat count.
For enterprise brand-governed marketing content, compare Typeface, and for a general AI writer with less workflow setup, see Jasper or Writesonic. For a simpler content workspace with planning built in, Narrato was the historical alternative, though it has since closed.
Looking for more options? Browse our full AI writing tools directory, or compare AirOps with the alternatives linked above.
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