AirOps Review 2026: Content Engineering, Not a Tracker

AirOps is a San Francisco content engineering platform that produces and optimizes content at scale, with AI search visibility tracking attached. That ordering matters more than any feature comparison: most tools in this category measure first and leave the writing to you. AirOps does the opposite, and it decides whether the product fits you before price ever enters the conversation.

It is also among the best-funded company in this comparison, at roughly $118 million raised.

Disclosure, and an unusual one: we build EchoWi, which competes with AirOps. We also cite AirOps’ published research in our own articles, including in the GEO guide. Both things are true, and we would rather say so than quietly drop them from our sources.

The short version

1. It is a content platform first. Tracking is a module, not the product. If you want a monitor, you are buying a lot of machinery you will not use.
2. There is a genuinely free tier. “Insights” at $0 a month, with 30+ AI models and 10+ CMS integrations. Siftly, Surfeo and Athena HQ also offer a free tier, but theirs sit below a paid entry plan; this one is the entry plan.
3. The entry paid plan tracks ChatGPT only. Multi-engine coverage starts at Pro.
4. Around $118M raised, including a $40M Series B led by Greylock in November 2025 at a $225M valuation, and a $55.5M round in May 2026.
5. They publish research the rest of us cite, which is a real asset and also a reason to read their numbers the way you would read any vendor’s.

What the plans cover

Read from airops.com/pricing on 7 August 2026.

Re-read on 7 August 2026. The only plan on this page with a price is the one that does not track anything.

The price is published for exactly one plan, and it is the one that does not measure

We owe a correction before the finding. This review previously said the Solo and Pro figures “did not render for us”, which assumed our own fetch had failed. Read again today, the page is working as designed: where a price would sit on Solo and Pro there is a “Start for Free” button, and no amount anywhere.

So the shape is this. The free Insights tier lists one user, basic templates, one brand kit, five knowledge base sources, 30-plus AI models and 10-plus CMS integrations. It lists no tracked prompts and no monitored pages. It is a content workspace. The cheapest plan that watches an AI engine at all is Solo, and Solo’s price is a button.

For a vendor that has raised around $118 million, publishing a number for the tier that does not do the job and withholding it for the two that do is a choice, not an oversight. It also means our own catalogue was wrong until today: we recorded AirOps with an entry price of zero, which asserted you could measure AI visibility here for nothing. You cannot. It now records no published price, alongside Peec AI and the others that decline.

The one number you can actually use

There is exactly one figure on the page a buyer can compute with, and it is not a plan price. Solo bills overage at $0.025 per task above its 20,000-task allowance.

20,000 tasks × $0.025 = $500

That is what Solo’s included allowance is worth at AirOps’ own marginal rate. It is not the price of Solo and we are not going to present it as one, because a vendor’s overage rate and its subscription rate are different things and only one of them is on the page. What it does tell you is the order of magnitude the platform is priced in, which is the tier above almost everything in our verified catalogue.

The free tier is still worth having. It is a real content workspace at zero, and if what you want is to see how AirOps builds workflows before committing, it does that. What it does not do is let you find out whether your brand appears in ChatGPT, and that is the thing this category is named after.

Content engineering versus tracking

This is the whole decision, and it is not a feature list.

A tracker answers “where do I stand?” Run prompts, record whether you appear, chart it. That is Promptmonitor at $29 a month, and for many teams it is all they need.

A content engineering platform answers “produce the pages.” Templates, knowledge bases, brand kits, CMS integrations, agents. The visibility module exists to point the machine at the right topics.

Those are different purchases with different failure modes. Buying AirOps to monitor a brand means paying for a content factory you will not run. Buying a tracker when your actual problem is that you publish four articles a month means buying a thermometer for a fever you already know about.

Where we would push back: the promise of scaled content production sits awkwardly against what the evidence supports. The Princeton GEO-bench experiment found that quotations, statistics and cited sources raised a source’s share of an answer by 41%, 30% and 27%, while keyword stuffing scored below doing nothing. Those winning edits are exactly the ones that are hard to generate at volume, because they require someone to go and find a real number. Volume is the easy part of content. It is not the part the evidence rewards.

About citing a competitor’s research

We link AirOps’ study in our own articles: they analysed more than 12,000 URLs and found that 61% of pages ChatGPT cited carried three or more schema types, against 25% of uncited first-page results, and that nearly 80% of cited pages contained lists.

Those are useful findings and we cite them. We also published the limit on them, in the same articles: that is an association between cited pages and schema, not a result of adding schema. When Ahrefs tested adding it against a control group, 1,885 pages against roughly 4,000, citations did not significantly rise and AI Overviews fell 4.6%.

We mention this because it is the correct way to treat any vendor’s research, including ours. Observational studies from tool companies are worth reading and worth bounding. AirOps publishing theirs openly is more than most of this category does.

Where AirOps is the right call

• You publish a lot, or want to. The platform is built for production, and that is where the money went.
• You want to try before paying. A real free tier is rare here.
• You need CMS integration. 10+ integrations, which pure trackers do not have.
• You are standardising a large content operation. Brand kits, knowledge bases and agents are for teams, not individuals.

Where it is the wrong call

• You only want to know whether you appear. You would be buying a factory to read a dial.
• You need multi-engine coverage cheaply. The entry paid tier is ChatGPT only. Promptmonitor covers six engines at $29.
• Your market is China. No Doubao or Qwen, the same gap every Western tool here has except ours.
• You need attribution. Measuring whether one change moved a number, against a control, is a different discipline from producing more pages.

What we could not verify

• The Solo and Pro prices. Published on the site, but they did not render for us on 5 August 2026.
• How many runs sit behind a reported visibility number. Not documented. Evertune states its sampling and almost nobody else does. Ask in the demo.
• Accuracy against other tools. No controlled side-by-side test of these platforms exists from anyone, us included.

AirOps versus the alternatives

The full comparison covers every tool we could verify with prices read from each vendor’s own page, including one that shut down in October 2025.

Common Questions About AirOps

Does AirOps have a free plan?

Yes. The Insights plan is $0 a month and includes one user, basic templates, one brand kit, five knowledge base sources, and access to 30+ AI models and 10+ CMS integrations. It is one of four genuinely free options among the tools we compared, alongside Siftly, Surfeo and Athena HQ, and the only one whose free plan is the entry plan rather than a trial allowance.

How much does AirOps cost?

AirOps publishes pricing for Solo and Pro on its site, with Pages and Enterprise on custom terms. The Solo and Pro figures did not render when we read the page on 5 August 2026, so we are not quoting them. Check the pricing page directly.

How much funding has AirOps raised?

Approximately $118 million, including a $40 million Series B led by Greylock in November 2025 at a $225 million valuation, and a further $55.5 million round in May 2026. It was founded in 2022 in San Francisco by Alex Halliday, Matt Hammel and Berna Gonzales.

Is AirOps a GEO tool or a content tool?

Both, in that order. It is a content engineering platform with AI search visibility tracking attached. If your problem is production volume, that ordering is an advantage. If your problem is measurement, you are paying for machinery you will not use.

Which AI engines does AirOps track?

The Solo tier tracks ChatGPT only. Pro adds Google, Perplexity, OpenAI and Google AI Studio. It does not cover Doubao or Qwen.

Should I trust AirOps’ published research?

Read it, and bound it. Their analysis of more than 12,000 URLs is a genuine contribution and we cite it. It is observational: it describes what cited pages look like, not what happens when you change a page. On schema specifically, a controlled test found no significant increase in citations from adding it.

What is the best AirOps alternative?

For cheap multi-engine monitoring, Promptmonitor at $29 a month. For sampling rigour, Evertune. For measuring whether a change worked, across 12 engines including Doubao and Qwen, that is what we build EchoWi for.

Where this leaves you

AirOps is among the best-funded company in this category and it is not really competing on the same axis as the rest of it. It sells content production. Visibility tracking is how it decides what to produce.

That makes the buying question unusually simple. If you would be excited to run a content factory, this is the strongest option here and there is a free tier to prove it. If you would not, almost everything you are paying for is machinery you will never switch on.

Next: the Evertune review and its sampling claim, Peec AI, and the full comparison with verified prices.