A hands-on look at what AirOps does, what it costs, and which tier you actually need before it does the thing it is sold on.
AirOps is the strongest bulk content-operations engine in the AEO category, and Workflows plus Grids let one person run research, drafting and CMS publishing across hundreds of pages from a single spreadsheet-style view.
The catch is tier gating rather than headline price. Multi-engine AI visibility, Ahrefs and Semrush integrations and weekly opportunity reports all start on Pro, AirOps does not publish what Solo or Pro cost, and multi-region and multi-brand tracking sit above both.
Look elsewhere if you track more than one brand or market, or if you want to see your visibility across every engine without booking a call to learn the price.
ContentMonk tracks your AI visibility across ChatGPT, Perplexity, Google AI Overviews and Claude alongside your Google rankings, then turns each gap into a prioritized recommendation, a research-backed brief and a finished article. There are no workflows to compose first. From $99 a month.
Try ContentMonk For FreeAirOps is an AI content and answer-engine-optimization platform that tracks how brands appear in AI search, then creates, refreshes and publishes content to improve that position. It targets in-house content and SEO teams and marketing agencies.
AirOps is built around workflows rather than reports, and that choice explains most of what follows. You compose a Workflow, publish it, then run it across a Grid of hundreds of rows, and Quill agents act on the triggers you define in a Playbook. It is why the platform attempts work most tools in this category will not, and it is also why it takes longer to learn than a dashboard does.
Named customers on AirOps' own site include Monday.com, Webflow, Ramp, Carta, LegalZoom, Sprout Social, Gong, Klaviyo and Chime. Its flagship case study covers Angi's longtail content strategy. AirOps describes the platform in its documentation as one that "brings together your SEO, AI search, and analytics data, replacing multiple point tools."
I spent a week and change on AirOps' free trial tier in mid-2026, on ContentMonk's own account. I built workflows and grids, generated articles and briefs, and connected data sources to see how the pieces fit together in practice.
That testing covers the trial tier only, which matters for how you read the rest of this review. I did not use a paid Solo or Pro workspace, so everything below about multi-engine Insights, weekly opportunity reports, Ahrefs and Semrush integrations and Enterprise features comes from AirOps' own pricing page, documentation and feature pages, and is attributed as such. I make no first-hand claim about how task costs behave at production volume, because a trial allowance cannot tell you that.
For the parts I could not test, I read AirOps' pricing page, its product documentation at docs.airops.com, its Quill, Workflows and Grids pages, and its University tutorials. Review evidence comes from G2, read directly on 30 July 2026.
Tools in this category ship constantly. This research was done in July 2026, and AirOps shipped both Quill and Page360 in the months before it, so specifics may have moved since publication.
Five capabilities stood out, and the first is the reason most teams buy the platform.
The Grid is a spreadsheet where each column can be a Playbook or a published Workflow, and each row is a page, keyword or product. Connecting a Workflow to a Grid column took minutes once the Workflow was published, and mapping Grid columns to Workflow inputs was straightforward. You can run all rows, remaining rows or the first ten, and per AirOps' documentation, failed rows re-run individually without reprocessing the whole Grid.
That last detail matters more than it sounds. Bulk AI operations fail partially, and re-running 400 rows because 12 broke is how budgets disappear.
Key takeaway: AirOps' Grid turns a single automated task into a repeatable process across an entire dataset, with per-row retries that keep partial failures from becoming full re-runs.
Quill is AirOps' agent layer, and Playbooks are the mechanism. A Playbook states which surfaces matter, what voice they carry and what counts as a win, and Quill acts whenever the conditions you set appear. Approval gates sit inline in the Playbook, and reviews route to Slack or the AirOps Inbox with a full audit trail.
AirOps' own guidance on when to use which is unusually clear-eyed: default to Playbooks for anything that takes judgment, and keep Workflows for steps that never change, such as data transforms and predictable extractions.
Key takeaway: Quill is a genuine agent layer rather than a chat wrapper, because the Playbook holds the strategy and every human override tunes how future runs interpret it.
AirOps publishes directly to WordPress, Webflow, Contentful, Strapi and Sanity, and per its pricing page those CMS integrations are available from the entry paid tier rather than held back. Grids can also pull content in from those same platforms and from Google Search Console, so a refresh cycle starts and ends in the same place.
G2 reviewers repeatedly name publishing as a concrete time-saver, including image handling, which is usually where automated publishing falls over.
Key takeaway: AirOps completes the cycle from opportunity to published page inside one system, which removes the manual copy-paste step that breaks most content automation.
Per AirOps' pricing comparison table, prompt checks run daily on Solo, Pro and Enterprise alike. Several tools in this category either run weekly at entry level or charge extra for daily refreshes, so this is a real point in AirOps' favour.
Insights also combines AI citation data with Google Search Console and GA4 at page level, and connects Cloudflare and Vercel to show bot traffic beside human visitors on all tiers.
Key takeaway: AirOps runs daily answer-engine checks on every paid plan and pairs them with page-level SEO and analytics data, so visibility changes can be traced to specific pages.
AirOps University runs a live cohort, a self-paced foundations course, quick tutorials and an AEO Analyst certification, alongside a certified-expert directory and a public Slack community. Very few tools in this category invest at that level.
Support shows up in the review data too. Exceptional customer support is one of the most-mentioned positives in AirOps' G2 reviews, praised specifically for onboarding and solution development, which partly offsets the learning curve covered below.
Key takeaway: AirOps pairs a formal certification program with support that its own reviewers rate highly, which measurably shortens the ramp for teams willing to use both.
Every limitation below comes from AirOps' own published pricing table or from its G2 review data, and they are ranked by what costs a buyer money or time.
AirOps' pricing comparison table lists a single answer engine for Solo, and Solo's plan card states "ChatGPT Insights Only" in as many words. The four-engine set of ChatGPT, Google, Perplexity and Google AI Studio begins on Pro.
For a platform sold on AI search visibility, one engine at the entry paid tier is a significant constraint. ChatGPT is the largest single surface, so it is a defensible starting point, but buyers comparing tools on engine coverage should know the headline number belongs to the higher tier.
Key takeaway: On AirOps' entry paid plan, visibility tracking covers ChatGPT alone, so anyone who needs Perplexity or Google's AI surfaces has to buy Pro.
As of 30 July 2026, AirOps' pricing page shows full feature lists for Solo and Pro and no monthly price for either. Only the free Insights tier carries a figure. The pricing FAQ directs buyers to a conversation: pricing is "based on your task volume and specific needs."
Third-party sources consistently report roughly $200 for Solo and $2,000 for Pro, and those numbers appear across review sites and directories. They are not confirmed by AirOps, and stale figures circulate freely: some directories still list a $49 Pro plan from an earlier pricing generation.
Key takeaway: AirOps does not publish Solo or Pro pricing, so a self-serve buyer cannot compare cost against alternatives without contacting sales.
AirOps' comparison table lists one region and one persona for Solo and for Pro. Multiple regions, personas and languages appear only on Enterprise.
Any team selling into more than one market runs into this immediately, and the jump is not a small upgrade. It means moving from a self-serve plan to a custom contract to answer a question as ordinary as how a brand appears to buyers in a second country.
Key takeaway: Multi-region and multi-language tracking requires an Enterprise contract, so teams in two markets have no self-serve path to it.
The comparison table lists one Brand Kit on Solo and one on Pro, with unlimited only on Enterprise. Brand Kits hold voice, tone and rules, so a single Kit means a single brand's guidelines.
AirOps markets to agencies directly, with a dedicated Marketing Agencies solutions page, and G2 reviewers describe using it across client rosters. An agency managing five clients on Pro is working around that limit rather than with it.
Key takeaway: Both of AirOps' self-serve tiers cap Brand Kits at one, which sits badly against the agency audience the product explicitly targets.
Per the integrations rows of AirOps' pricing table, SEO research on Solo covers DataForSEO and Moz. Ahrefs and Semrush arrive on Pro, along with AEO research integrations.
Anyone reading the feature pages first should know they describe the ceiling rather than the entry tier. The Grids page advertises Semrush import and Shopify publishing as plain capabilities, while the pricing table gates Semrush to Pro and Shopify to Enterprise.
Key takeaway: Teams already paying for Ahrefs or Semrush cannot connect either on AirOps' entry paid plan, which pushes SEO-led buyers toward Pro.
Learning curve is the dominant negative theme in AirOps' G2 reviews as of 30 July 2026, and it shows up in four related forms: the initial curve, difficulty with advanced workflows, setup problems, and general usability complexity. Together they outweigh every other complaint on the platform.
Two things keep this fair. Ease of use appears in 40 reviews, more than any single curve cluster, so the platform reads as hard to learn and pleasant once learned. And AirOps is actively working on it: Power Agents ship as pre-built automations you fork rather than build, and the company states a median 14 days to a first shipped outcome, though that figure is unaudited and framed around a contracted engagement rather than self-serve use.
Key takeaway: AirOps asks for real configuration time before it produces value, and its own review data shows that curve is the single most common complaint even among users who rate the platform highly.
AirOps runs daily checks on every paid tier, and multi-engine coverage starts on Pro. ContentMonk tracks ChatGPT, Perplexity, Google AI Overviews and Claude daily on every plan, starting at $99 a month.
Try ContentMonk For FreeAirOps runs a free Insights tier, two self-serve tiers whose prices it does not publish, and a custom Enterprise plan, with billing metered in tasks and Solo overage at $0.025 per task. Most teams that need multi-engine visibility, Ahrefs or Semrush data or more than one seat land on Pro, because Solo caps at a single user and a single engine.
Tasks are AirOps' billing unit, and its FAQ is explicit that not every workflow step counts as one. Task cost depends on both the step type and the data being processed, which means a task total cannot be derived from a workflow's shape alone.
Third-party reviewers estimate 500 to 800 tasks for a single article across research, drafting and optimization. At Solo's $0.025 overage, 800 tasks past the allowance is roughly $20 for one article. I could not verify per-article consumption at production volume from a trial account, so treat those estimates as reviewer-reported.
Key takeaway: AirOps meters usage in tasks whose cost varies with the data processed, so monthly spend is difficult to forecast before running real volume.
AirOps offers a 14-day free trial with no payment details required until the end, and it ends when the trial tasks run out, the 14 days elapse, or you upgrade. Workspaces also receive free credits for testing workflows in the builder before going live.
One ambiguity is worth flagging. AirOps' pricing FAQ describes the trial as access to "all Scale plan features," and references a "Scale and Agency" plan for API keys, but no Scale or Agency plan appears in the current lineup of Solo, Pro and Enterprise. The trial's exact feature scope is unclear from public documentation.
Key takeaway: AirOps' 14-day trial needs no credit card, though its documented scope references retired plan names and does not map cleanly onto the current tiers.
ContentMonk lists its plans at $99, $199 and $449 a month, with no demo required to see them. Credits are metered on output at one word per credit, and tracking your prompts and writing your articles do not draw on them at all.
Try ContentMonk For FreeRatings and counts below were read directly on 30 July 2026. Note that figures of 4.6 from 111 reviews circulate widely and are out of date.
A 4.7 average puts AirOps above Profound at 4.5 and Semrush at 4.4 on the same platform, and level with Jasper at 4.7, though on a much smaller review base than any of them.
The praise clusters around throughput. Efficiency improvements, ease of use, faster content creation and time savings are the four most-mentioned positives, with SEO optimization capabilities and breadth of features close behind. Reviewers running agency work describe generating client-ready deliverables from the platform, including FAQ sections built from People Also Ask data and AI visibility scorecards.
The complaints cluster around two themes. Learning curve and setup difficulty account for 67 mentions across four related clusters, and cost accounts for 25: an expensive pricing model in 11 reviews, high costs and overage fees in 10, and credit confusion leading to unexpected charges in 4. Bugs and technical issues appear in 10 combined, which reads as ordinary for a platform of this scope rather than a reliability problem.
One reviewer's summary captures the tradeoff more precisely than either marketing side would: the AI is excellent and support helps while you learn, and the cost is a UX that takes real work to figure out. Another, mid-pilot, declined to put a number on ROI on the grounds that it would not be honest yet.
Browse more tools in the AEO and GEO tools directory.
AirOps is the most capable content-operations platform in this category, and the Grid is the reason. Connecting a published Workflow to a grid column and running it across hundreds of rows, with per-row retries and approval gates routed into Slack, is genuinely useful work that most AEO tools do not attempt. Quill extends that into an agent layer that acts on triggers and learns from what your team changes. A 4.7 rating across 129 G2 reviews is not an accident, and the training program and support are better than the category norm.
The difficulty is what you have to buy, and who you have to ask, before the platform does the thing it is marketed on. Multi-engine AI visibility begins on Pro. One region and one persona hold until an Enterprise contract. One Brand Kit covers both self-serve tiers, which is a strange place to land for a product with a dedicated agencies page. AirOps publishes neither Solo nor Pro pricing, so the comparison a buyer wants to run cannot be run from the website. None of that makes AirOps a weak product. It makes it a platform whose entry tier is narrower than its marketing suggests, and whose real cost is a conversation away.
If your team publishes at volume, has a defined strategy and someone to own workflow design, AirOps will repay the setup. If you are tracking several brands or markets and want to see where you stand across every engine without a sales call, ContentMonk covers four engines daily on every plan, publishes its pricing from $99 a month, and includes every feature on every plan, with tiers raising limits rather than granting access to capabilities.
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