Sacra estimates that AirOps hit $13M in annual recurring revenue (ARR) in 2025, up roughly 5x year over year from approximately $2.5M at year-end 2024. The company had crossed roughly $1M ARR in Q1 2024 before scaling through enterprise sales in 2025.

AirOps makes money by selling annual software contracts to marketing and growth teams that use the platform to improve visibility across Google, ChatGPT, Perplexity, Claude, and other AI-search surfaces. Customers use AirOps to monitor brand citations, identify content gaps, refresh existing pages, and generate new SEO and GEO workflows tied to organic acquisition.

The company’s enterprise customers include Ramp, Chime, Wiz, Klaviyo, Webflow, Carta, Kayak, and Rippling. With reported annual contract values ranging from $60K to $250K, AirOps’ $13M ARR implies roughly 50–215 customers, with expansion driven by additional brands, teams, content workflows, and AI-search use cases inside each account.

AirOps raised a $40M Series B in November 2025 at a post-money valuation of $225M, led by Greylock.

Before the Series B, AirOps raised a $15.5M Series A in October 2024, led by Unusual Ventures, and a $7M seed round in April 2023, led by Wing VC. Other investors across rounds include Founder Collective, Xfund, Village Global, Frontline VC, Alt Capital, Apollo Projects, and Lachy Groom.

Total disclosed funding across all rounds is approximately $62.5M.

AirOps is a content operations platform for marketing, SEO, and growth teams managing brand visibility across traditional search and AI answer engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews.

The product has three functional layers. Insights tracks how a brand appears across AI engines and search, measuring metrics like mention rate, share of voice, citation rate, and average position by topic, platform, persona, region, and prompt type. Teams can review the exact prompts being monitored, see whether their brand or a competitor's page was cited, and identify which third-party domains AI systems pull from most often.

Those signals feed into an Opportunities queue that groups work into four buckets: creating net-new content on topics the brand does not cover, refreshing pages that are losing visibility, running outreach to third-party publishers that influence AI citations, and participating in community spaces like Reddit where authentic participation can shape AI answers.

Selected opportunities move into Grids, a spreadsheet-like interface where teams can import hundreds or thousands of URLs from Google Search Console, WordPress, Webflow, Contentful, or Semrush, run AI-powered workflows across them in bulk, review outputs side by side, and publish approved content back to connected CMSs. A single workflow can pull a URL, retrieve brand context, research competitors, draft a refreshed article, run a QA check, route it for human approval, and push it live in one repeatable pipeline.

Brand Kits and Knowledge Bases provide company-specific context instead of relying on generic prompting. A Brand Kit is a versioned, structured source of truth for voice, tone, product lines, audiences, and regional rules. A Knowledge Base ingests structured and unstructured data from files, Google Drive, SQL databases, Shopify, and sitemaps, then uses semantic search to retrieve facts at runtime so generated content references actual product details instead of hallucinating.

Quill, AirOps' agent layer, monitors visibility signals, surfaces recommended campaigns, routes outputs for human review, and learns from edits and approvals over time. A separate Offsite module extends the platform beyond owned pages into third-party citation management, helping teams identify influential publishers, run outreach, and measure visibility lift from earned placements.

AirOps sells B2B software on a hybrid subscription-plus-usage model. Plans are tiered as Solo, Pro, and Enterprise, with Enterprise sold through a direct sales motion that includes custom onboarding, agent builds, and tailored limits. Lower tiers provide self-serve access with a free entry point, creating a funnel from individual practitioners to full marketing organizations.

The consumption layer is built around tasks, units charged whenever a workflow successfully completes an action. This lets AirOps capture more revenue as teams run more content operations through the platform, tying pricing to depth of use rather than seat count. Enterprise tiers add unlimited seats, multi-region and multi-language tracking, multiple Brand Kits and Knowledge Bases, and broader integration access, so ACV grows with organizational complexity rather than headcount alone.

The platform's flywheel is straightforward: Insights data reveals where a brand is losing AI visibility, creating demand for Actions, which consume tasks and produce measurable outcomes that justify tracking more prompts and pages. That deepens integration with CMSs, SEO tools, and project management systems and raises switching costs. The closed loop from signal to prioritization to production to publishing to measurement separates AirOps from tools that stop at either analytics or draft generation.

Cost structure includes AI model and compute costs passed through workflows, data acquisition and integration costs from SEO sources and prompt-tracking infrastructure, and customer success labor for enterprise onboarding and managed services. The task-based pricing model passes some variable compute cost to customers rather than burying it in flat fees, which helps protect gross margin as usage scales. AirOps also offers a fully managed Offsite service that handles publisher outreach, negotiation, and payment management, a higher-touch layer that can accelerate enterprise adoption but operates at lower margins than pure software.

AirOps competes across three overlapping fronts: AI-native AEO and GEO startups building monitoring and optimization tools, incumbent SEO suites adding AI visibility to existing dashboards, and enterprise AI writing platforms expanding into search-specific workflows.

Profound and Graphite are the closest category rivals, both VC-funded and centered on AI search visibility as a primary product surface. Profound tracks brand mentions, citations, and share of voice across a broad set of AI destinations including ChatGPT, Claude, Gemini, Copilot, Meta AI, DeepSeek, and Grok, with an analytics and agent-centric posture. AthenaHQ competes from a similar angle, with an emphasis on prompt intelligence, editorial pipeline, and enterprise actionability.

AirOps is differentiated at the execution layer. Many of these competitors are stronger on measurement than production: they identify the problem but do not control the fix. AirOps' Grids, native CMS publishing, bulk refresh orchestration, and human-in-the-loop approval workflows give it a deeper operational footprint once a team decides to act on visibility data.

Semrush and Ahrefs are the most structurally significant competitive threat because they already control the SEO budget line and have established relationships with the teams AirOps is selling to. Ahrefs Brand Radar tracks AI visibility across answer engines alongside traditional search signals, and Semrush's AI Toolkit sources visibility metrics from billions of real prompts. Both can sell AI visibility as an extension of an existing platform agreement rather than a new budget category.

AirOps' defense is workflow depth and CMS-native execution, capabilities that SEO suites have not yet matched at the same level of operational specificity. The risk remains that if Semrush or Ahrefs absorb enough of the measurement layer, they reduce the urgency for buyers to adopt a separate platform. AirOps' integration posture with both tools, rather than forcing rip-and-replace, is a hedge against that dynamic.

Writer and Jasper compete from the content generation side, both expanding into governance, brand controls, and structured content pipelines. Writer is a meaningful threat in large enterprise accounts where procurement prefers a single approved AI platform that marketing can extend into GEO workflows rather than a specialized system. Jasper's commercial scale and existing budget ownership in AI-powered marketing execution create a similar wedge.

Broader content and workflow platforms like Contentful can also expand into AI-assisted content operations, while analytics platforms like Amplitude can capture part of the budget by tying AI referrals to conversion behavior. AirOps' defense is to keep deepening the operational hooks, bulk refresh, CMS publishing, and citation-driven prioritization, that generalist platforms are less likely to replicate at the same fidelity.

AirOps' expansion logic is to capture more of the content lifecycle budget by moving from a point solution for AI visibility into a broader operating system for organic growth. Each product layer extends the platform into adjacent budget categories.

Offsite is the clearest near-term TAM expansion. By helping teams identify third-party publishers, run outreach, and measure citation lift from earned placements, AirOps extends from owned-content optimization into earned media and digital PR, categories that are often funded from separate budgets. The managed Offsite service, which handles outreach, negotiation, and payment management end to end, also expands addressable spend by serving customers without in-house capacity to run these programs.

Quill, the agent layer, adds a longer-term expansion path toward outcome-based monetization. As Quill shifts from surfacing recommendations to running continuous campaigns with human oversight, AirOps can sell throughput and visibility outcomes rather than just platform access. That pricing model can support higher willingness to pay when customers measure ROI in traffic, citations, and pipeline instead of software features.

AirOps started with SEO and content teams but is extending into product marketing, localization, lifecycle marketing, and agency workflows as the platform broadens. The AirOps Experts ecosystem and agency-specific packaging add a distribution channel into mid-market and SMB end customers that the direct enterprise sales motion does not efficiently reach.

Ecommerce is a meaningful vertical adjacency. Shopify integrations in Knowledge Bases and CMS publishing pipelines let AirOps extend from editorial SEO into product catalog enrichment and comparison content, a useful surface because AI shopping and comparison queries are especially citation-driven. Governance-sensitive verticals such as fintech, cybersecurity, and healthcare are another expansion vector, where SOC 2 Type II compliance, bring-your-own-key options, and approval workflows make AirOps easier to buy than generic AI writing tools that procurement teams often block.

AirOps has stated that part of its Series B plan is expansion into Europe, and the product already supports multi-region, multi-language, and multi-persona tracking at the enterprise tier. That makes geographic expansion product-enabled rather than dependent only on local sales presence, since multinational customers can manage localized content and visibility measurement across markets in a single platform.

As AI answers become a higher share of discovery globally, brands operating across Google, ChatGPT, Gemini, Perplexity, and region-specific publisher ecosystems need tooling that spans engines, markets, and languages simultaneously. AirOps already has infrastructure for this, which should reduce the product work required for international expansion.

Platform dependence: AirOps' measurement and optimization value depends on how external AI engines expose citations, brand mentions, and source attribution, and if ChatGPT, Google AI Overviews, Perplexity, or other answer engines change their citation behavior, access rules, or publisher signals, the platform's core visibility metrics and optimization playbooks could become materially noisier or less actionable with little warning.

Measurement credibility: Because AI search outputs fluctuate from query to query and a single response is only one snapshot of a probabilistic system, AirOps faces an ongoing challenge in convincing finance and growth leaders that AEO metrics translate into durable traffic, pipeline, or revenue outcomes rather than interesting but non-budget-worthy signals.

Incumbent encroachment: Semrush and Ahrefs already control the SEO budget line and have the trust of the teams AirOps is selling to, and as both platforms deepen their AI visibility toolkits, they can reduce the urgency for buyers to adopt a separate content engineering platform, particularly in accounts where procurement prefers consolidating spend rather than adding a new category vendor.