AirOps and Profound sell the same pitch now, but they’re still opposite products underneath. AirOps is a content operation you rent, built on task-based production workflows with brand governance attached, and Profound is a visibility analytics layer that added an execution agent, sold in credits.
Pick AirOps if your bottleneck is producing optimized content at scale. Pick Profound if you need broad answer-engine coverage and enterprise reporting. Neither tool publishes a price, so the AirOps vs. Profound comparison runs on what each vendor says on its own pages.
Both started on opposite sides, AirOps in content production and Profound in AI visibility measurement, and both have converged on the same job, the one an AI SEO platform ends up owning end to end: measure where you stand, then go fix it. The tell is the meter. AirOps bills the work in tasks and Profound in credits, and both keep the work inside their own platform.
AirOps vs. Profound at a glance
| Comparison | AirOps | Profound |
|---|---|---|
| What it is | A content operation platform, with market share insights and expert services on top | An AI visibility analytics platform, with an agent that drafts and stages work |
| Where it started | Content production | Measurement |
| What you measure | Market share, ChatGPT only on Solo, 7+ answer engines on Pro | Prompt volumes, sentiment, benchmarking, up to 9 answer engines on Enterprise |
| What does the work | Task-based agents inside the AirOps platform | The AI Marketer, an agent metered in credits |
| Pricing | Not published; $0.025 per task past the Solo allotment is the one figure | Not published; the pricing FAQ names 400 credits a month per client workspace |
| Free entry point | A 14-day trial, no card until it ends | 50 prompts a day for 7 days |
| Who it suits | Teams bottlenecked on governed content production | Teams that need wide engine coverage and enterprise reporting |
The rows that decide the comparison are what you measure and what does the work, because that’s where the two genuinely differ. The pricing row reads the same both ways, which is part of the story.
What each tool actually does
The difference between AirOps and Profound is the direction each came from: AirOps does content production with measurement attached, and Profound does measurement with production attached. It still shows in what each one is good at.
AirOps calls itself an AI discovery marketing platform and sells three things: Systems, the platform; Strategy, an expert team that runs it with you; and Channels, guidance on where to invest. The core is a continuous system that researches, publishes and refreshes content, plus market share measurement so you can see where you stand against competitors. So you’re renting a content operation, governance and experts included.
Profound is an AI marketing platform built for answer engine optimization, and its features are analytics first: Answer Engine Insights, Prompt Volumes, Sentiment, Benchmarking, and Agent Analytics, which shows how AI crawlers read and cite your pages. On top of the analytics sits the AI Marketer, an agent that drafts content, rewrites pages, runs social calendars and stages everything for your approval. So Profound leans the other way: it shows you the numbers in depth, and the doing came later.
These two started as opposite products and have converged on the same commercial shape: both now sell measurement plus execution, and both meter the work inside their own platform, AirOps in tasks and Profound in credits. Our position on that shape is plain: when the work and the method live in a vendor’s playground, the meter decides your budget and you can’t take the method with you.
Each product also still carries where it came from. AirOps’s Solo plan covers a single user on one brand, and Profound’s exports, API access and answer history only come with Enterprise.
What you can measure in each
On AI visibility tracking, AirOps and Profound measure different things. AirOps gives you market share visibility on the engines its plan covers, and Profound gives you prompt-level AI visibility analytics across more engines than anything else in this comparison.
AirOps’s measurement is market share: where you stand with the buyers who matter, and which competitors already lead. The engine coverage is plan-gated, and Pro is currently sold as Insights Across 7+ Answer Engines, per its pricing page. It reads fast, and it’s built to steer the content operation sitting next to it.
Profound’s measurement is the deeper of the two. Its Enterprise plan currently tracks up to 9 answer engines, per its pricing page: ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews and Exa Search. Around that sit Prompt Volumes, Sentiment, Benchmarking and Agent Analytics, so you can see the questions, how they trend and how AI crawlers treat your pages.
Content production and the AI Marketer
The AirOps content production vs. Profound AI Marketer comparison is the built-in product versus a later addition: AirOps built production first, and Profound added its agent from the analytics side. Both bill the work by the unit.
AirOps runs task-based workflows. Solo includes 35,000 tasks a month, Pro 100,000, and past the Solo allotment each extra task costs $0.025. You govern the output with a brand kit and knowledge bases, three on Solo and five on Pro, and Pro adds integrations for your CMS, SEO tooling, social channels and project management, plus unlimited seats.
Profound’s production is the AI Marketer, an agent that drafts content, rewrites pages, runs social calendars and stages everything for your approval before anything ships. It’s metered in credits, sold for the whole team on Enterprise, and the pricing FAQ names a self-serve Agency Growth plan at 400 credits a month per client workspace. So the doing exists, and it’s staged where the analytics live.
Both meters mean the same thing for your budget: the monthly spend depends on how much work you run, and neither base price is published, so you find the cost by running the trial and asking. It’s workable, it just means you can’t budget either one properly in advance.
What AirOps and Profound cost
Neither vendor publishes a price, so the AirOps vs. Profound pricing comparison can’t be done from their websites alone. AirOps’s pricing page shows the plans, the task counts and the trial, but no dollar figures, with a free start on Solo and Pro and a sales contact on Enterprise. Profound’s pricing page does the same, and the only number on it is the self-serve Agency Growth plan, 400 credits a month per client workspace.
The one published figure on AirOps’s side is the Solo overage, $0.025 per task past the monthly allotment. The trial runs 14 days with no card until it ends, and the workspace starts with 50,000 free credits. So you can size the task meter before you talk to anyone, but the subscription itself is basically a quote.
Profound’s trial is free too: 50 prompts run daily for 7 days, on ChatGPT, Gemini and Google AI Overviews, in one language and one region, with no exports, API access or history. Enterprise is custom, with SSO and SAML, SOC 2, and unlimited seats on both of its published plans. So Profound’s price is a conversation, and the trial shows you the product with three engines.
For budgeting, the honest summary is that neither tool can be priced from its website. Size the meter from the published numbers, run the trial, and get the quote before you plan around either one.
Which should you pick?
Which is better, AirOps or Profound? Neither one is better outright: AirOps wins on production, Profound wins on measurement, so pick by your bottleneck.
Pick AirOps if producing content is the constraint. Its research, publish and refresh system with brand kits and knowledge bases is pretty much the whole product, the task meter matches how content work scales, and the Strategy package puts an expert team behind it. You’d be buying a production line.
Pick Profound if measurement is the constraint. Up to 9 engines with prompt volumes, sentiment and benchmarking is the widest coverage in this comparison, and Enterprise adds SSO, SAML and SOC 2, which is what a large organization’s procurement asks for. You’d be buying an analytics layer with an agent attached.
Whichever you pick, hold it to the number that decides the category, because this is where teams go wrong. The number isn’t visibility, or mentions, or sentiment. It’s whether the assistant puts you forward as a pick when a buyer asks.
Being named in passing doesn’t send you a buyer, and being the pick does, so that’s the number to report and the number to move.
Where Omnipresence fits
An AI visibility tool should prove the lift was your work, whichever one you pick here, and the comparison leaves the same two gaps. The first is that proof: when your number moves, the question you have to answer is whether your work moved it or the model did, and a platform-wide shift and a real lift look identical on a chart.
The second gap is where the method lives. Work done inside a vendor’s platform stays there, and the loop that produces recommendations never closes, so the method has to run somewhere you own. We treat that loop as eligibility, consensus, credibility, then track, and repeat.
Omnipresence was built to close both. It shows you whether ChatGPT, Claude, Gemini and Perplexity recommend you or a competitor for the questions your buyers actually ask, joined to the searches each assistant ran and the pages behind each answer, so a drop turns into a work list.
Proof the lift was yours comes from buyer questions left untouched as controls, and every change lands on the same chart as the result, ready for the report. The playbook runs in the agent your team already uses, with no cap on the questions you track, so the method and the work stay yours.
Measurement joined to work is what moves the number. In our 10x AI Visibility Refresh study we refreshed 98 posts, published nothing new, and citations rose 10x in 91 days. That’s the standard to hold any tool in this category to, ours included.
Frequently Asked Questions about AirOps vs. Profound
Can you use AirOps and Profound together?
Yes, and it’s a reasonable stack, because they lean opposite ways. AirOps produces the content, Profound measures how it lands in AI answers. The overlap is basically insights, so check which engines each plan covers before you pay for both, and pick one as the system of record for your visibility number.
Does Profound track ChatGPT Shopping?
Yes. Profound’s Shopping feature tracks how your products show up in ChatGPT Shopping, down to individual SKUs, the single products in your catalog, which makes it product visibility rather than page visibility.
Is AirOps or Profound better for agencies?
It depends on what the agency sells. Profound’s pricing FAQ names a self-serve Agency Growth plan at 400 credits a month per client workspace, which suits reselling measurement, and AirOps packages its platform with an expert strategy team, which suits agencies that want production run for them. Quote both against the client volume you actually run, because the task meter and the credit meter behave differently at scale.