AirOps

What is AirOps?

AirOps is a platform that helps brands win visibility in AI search, where tools such as ChatGPT answer buyer questions directly. It measures how often answer engines cite your brand and competitors, finds the gaps, then runs AI workflows that research, write, refresh and publish content to fix them. The company calls this content engineering and pairs the software with an expert services team.

AirOps was founded in 2022 by Alex Halliday (CEO), Matt Hammel (COO) and Berna Gonzalez (CTO), and trades legally as Rivington Labs, Inc. It is based in New York and San Francisco, with an office in Montevideo. In November 2025 it announced a $40M Series B led by Greylock, taking total funding to $60M, and the company says that round valued it at $225M.

Key Features

• AI search Insights: AirOps Insights tracks how often AI answer engines cite and mention your brand against competitors. The Pro plan covers more than seven answer engines, while Solo is limited to ChatGPT data, so the plan you pick decides how wide your visibility view is.
• Share of voice and opportunity sizing: The platform measures share of voice, citations and content gaps at page and prompt level. AirOps says its data covers 6 billion citations and 70 million high-value prompts, which it uses to size the topics worth chasing next.
• Workflows: AirOps Workflows chain research, writing, editing and publishing steps into one repeatable process. Reviewers describe the builder as no-code and drag-and-drop, so content teams can automate multi-step jobs without writing scripts.
• Playbooks: Playbooks package a full growth programme, such as refreshing ageing pages, into a set of automated steps with triggers. They let a small team run the same proven process across hundreds of URLs instead of rebuilding it each time.
• Grids: Grids give you a spreadsheet-style view for planning, running and reviewing content in bulk. Each row can be a page or keyword that passes through a workflow, although one review reports lag once a grid passes about 200 rows.
• Brand Kits and Knowledge Bases: Brand Kits store tone, style rules and writing samples, while Knowledge Bases hold product facts the AI can draw on. Solo includes one Brand Kit and three Knowledge Bases, Pro raises that to five, and Enterprise removes the cap.
• Human Review Inbox: The Human Review Inbox collects workflow and playbook outputs that need approval before they go live. This keeps editors in control of quality, which matters because AI drafts still need checking for accuracy and brand fit.
• CMS publishing and version history: AirOps publishes to WordPress, Webflow, Contentful and Sanity through native connections that keep structure and metadata. A content updates log records version history, so you can see what changed on each page and when.
• Offsite campaigns and AirOps MCP: AirOps extends beyond your own site with offsite campaigns and a placements inbox for third-party content. Its MCP connector brings AirOps data and actions into Claude, ChatGPT, Cursor, Lovable and Replit.

Pros

• Built for AI search, not only Google: AirOps measures brand citations across AI answer engines and turns gaps into content tasks. Teams worried about losing traffic to ChatGPT-style answers get monitoring and production in one place.
• Scales content without losing brand voice: Brand Kits and Knowledge Bases feed every workflow, so large batches stay on tone and on fact. Reviewers single this out as the reason high-volume output still reads like one brand.
• Generous task allowances: The pricing page lists 35,000 tasks a month on Solo and 100,000 on Pro, up from 20,000 and 75,000 earlier in 2026. That headroom suits teams running large refresh or bulk-creation projects.
• Direct publishing to major CMSs: Native connections to WordPress, Webflow, Contentful and Sanity cut out copy-and-paste steps. Finished pages land in the CMS with structure and metadata intact, which saves editor time on every batch.
• Unlimited seats on Pro: The Pro plan allows unlimited team seats, so agencies and in-house teams can add writers and reviewers without per-user charges. Solo, by contrast, is single-user.
• Trusted by large brands and well funded: AirOps names Webflow, Ramp, Carta, Chime and HubSpot among its customers. It raised a $40M Series B led by Greylock in November 2025, which suggests the product will keep developing.

Cons

• Pro and Enterprise prices are not published: The official pricing page shows plan limits but no Pro figure, and Enterprise is quote-only. Budget planning is hard, and third-party reports of around $2,000 a month for Pro may already be out of date.
• Steep learning curve: Reviewers report two to four weeks before a team is productive with workflows and grids. Building good playbooks takes time and some prompt design skill, so quick wins are less likely in the first month.
• Task-based billing is hard to forecast: Every workflow step uses tasks, and reviews say credits run down faster than expected during heavy production. Solo overage is charged at $0.025 per task, so large unplanned runs can raise costs.
• Solo has narrow AI visibility: Solo limits Insights to ChatGPT and supports one user with basic integrations. Teams that need multi-engine tracking or social and project integrations must move to Pro or Enterprise.
• Output still needs human review: AI drafts require editing before publication, and AirOps builds a review inbox for that reason. It speeds production but does not replace a content strategy or subject-matter checks.
• Performance and device limits: One review reports grid slowdowns with large datasets of 200 or more rows. The same review notes there is no mobile app, so work happens on a desktop browser.

Who is Using AirOps?

• SEO and content teams: use workflows and grids to research, write and refresh pages at volume.
• Growth marketers: track AI search share of voice and turn gaps into prioritised content.
• Agencies: run brand-specific Brand Kits and playbooks for several clients from one platform.
• Enterprise brands: such as those AirOps names, including Webflow, Ramp and Chime, use it for AI discovery programmes.

Pricing

AirOps sells three task-based plans, and you can start Solo for free (official pricing page, checked October 2026).

Directory figures conflict with the official page: a June 2026 ColdIQ article reported Solo at about $200 and Pro at about $2,000 a month under older limits of 20,000 and 75,000 tasks, and a free Insights tier that no longer appears. Plans and limits have changed several times in 2026, so confirm the current terms with AirOps before you commit.

What Makes AirOps Unique?

AirOps joins AI search measurement and content production in a single system, so the same platform that spots a citation gap can draft, review and publish the page that closes it. Most SEO writers stop at the draft, and most visibility trackers stop at the report. AirOps also adds offsite campaigns, an MCP connector for assistants such as Claude and Cursor, and a services team for brands that want help running the programme.

Compatibilities and Integrations

• CMS platforms: WordPress, Webflow, Contentful and Sanity, with structure and metadata preserved on publish.
• AI assistants via MCP: Claude web, desktop and Claude Code, ChatGPT, Cursor, Lovable, Replit, VS Code and Windsurf.
• SEO data: Reviews mention Semrush and Google Search data connections, with SEO and AEO integrations on Pro.
• Platform: Web app in the browser; reviewers report no mobile app.

AirOps Tutorials

AirOps University and the docs at docs.airops.com cover each step below in more depth.

1. Sign up for Solo, connect your website and add the competitors you want to track.
2. Build a Brand Kit with tone rules and writing samples, and load product facts into a Knowledge Base.
3. Review Insights to find prompts and pages where rivals are cited and you are not.
4. Run a workflow or playbook in a grid to draft or refresh the target pages.
5. Approve outputs in the Human Review Inbox, publish to your CMS and track citation changes.

How We Rated It

Summary

AirOps suits marketing and SEO teams that publish at scale and want to track and grow their presence in AI answers. The main limitation is cost clarity, as Pro and Enterprise prices are not published and task use can climb quickly. We think it is one of the most complete options for AI search content work if you have time to learn it. Start on Solo with one small refresh playbook before you scale to Pro.