AirOps Pricing in 2026: Plans, Cost & Free Trial
Every AirOps plan, what's actually included at each tier, and whether the cost holds up against the alternatives.
AirOps Plans & Pricing
AirOps has three tiers: a free plan for testing and small-scale experimentation, Starter at $99/month for teams running production AI content workflows, and Scale at $499/month for high-volume content operations running automation across the organization.
The free plan is a permanent tier rather than a time-limited trial, which gives teams the time to build and validate a workflow properly before committing to a paid subscription.
Pricing is structured around workflow execution volume — how many times your AI pipelines run per month — rather than per-seat access.
| Plan | Price | Best For |
|---|---|---|
| Free | Free | Individuals & light usage |
| Starter Most Popular | $99/mo | Solo creators & freelancers |
| Scale | $499/mo | High-volume businesses |
Is AirOps Worth the Price?
The economic case for AirOps is clearest for content teams with high-volume repetitive AI tasks. Take any task you run manually at scale — product descriptions, content briefs, research summaries — calculate the time cost, and compare it to the subscription.
Common example: a content team generating 200 product descriptions monthly. Using ChatGPT directly, each description takes 10 to 15 minutes of manual prompting, review, and output management — 33 to 50 hours monthly. At $45/hour loaded, that's $1,485 to $2,250/month.
AirOps at $99/month builds the workflow once, connects your product data source, and runs all 200 descriptions in one automated batch. Workflow setup takes 4 to 6 hours the first time; after that it runs on demand.
For content brief generation, a team producing 60 briefs monthly at 45 minutes each spends 45 hours on that task alone — $2,025 at $45/hour. AirOps's brief workflow takes keyword data as input and produces structured briefs as output, with most of those 45 hours reclaimed.
For digital marketing agencies, the value extends to service delivery — faster research summaries, content audits, and briefing documents improve margin on SEO retainers. Clients receiving better deliverables faster are more likely to renew.
Starter at $99/month is right for teams with one to three active production workflows. The break-even is roughly 2.5 hours of specialist time saved monthly.
Scale at $499/month is appropriate when automation spans multiple departments or single-department volumes push against Starter's execution limits. The free plan is sufficient while you're building and validating workflows before committing.
Free plan: access to the full workflow builder and template library, with limited monthly executions. You can build complete workflows, connect data sources, configure AI steps, and run test batches on real inputs.
The execution limits prevent large-scale production use but are sufficient for validating that a workflow produces acceptable quality before scaling. Permanent, not time-limited.
Starter at $99/month: the production tier for teams running one to three active AI content workflows regularly.
Higher monthly execution limits, team collaboration features, all standard integrations (Notion, Airtable, Google Sheets, webhook connections), and scheduled workflow execution for recurring automations.
Scale at $499/month: for organizations automating across multiple departments or at content volumes that push against Starter's limits. Significantly expanded executions, priority processing for high-volume batches, and advanced team management.
Enterprise pricing is available for custom volume, compliance, or dedicated support requirements — contact AirOps directly.
AirOps Free Trial: What's Included?
AirOps offers a permanent free tier rather than a time-limited trial — more useful for evaluation because it removes time pressure.
A 7-day trial creates urgency that can prevent thorough workflow testing, especially for teams that need multiple iteration cycles to dial in prompt quality and data connection setup. The permanent free tier lets you move at your own pace.
Typical evaluation path: sign up, browse the template library for a workflow relevant to your content operations, connect your data source, configure the AI steps, and run a test batch of 10 to 20 real inputs.
Assess output quality honestly — does it meet the standard you'd apply to manually produced work? Most AI content workflows need 2 to 3 prompt refinement iterations before output quality is consistently good.
If the free plan's execution limits run out during testing, that's a strong signal the workflow is production-ready and Starter is the right next step.
Frequently Asked Questions
How much does AirOps cost per month?
AirOps has a permanent free plan, Starter at $99/month, and Scale at $499/month. The free plan covers workflow building and small-batch testing. Starter is the production tier for teams running active AI content workflows regularly. Scale handles high-volume operations or organizations with multiple departments automating simultaneously. Click the exclusive deal link on AIPriceRadar to activate any available discount on Starter or Scale.
Yes — the free plan gives you access to the full workflow builder, the complete template library, and enough executions to build and validate a real workflow. You can connect data sources, configure AI steps, and run test batches on actual inputs. The execution limits prevent large-scale production use, but for the evaluation question — can AirOps automate my specific content task at acceptable quality? — the free plan provides what you need. Most teams form a clear buy or skip decision within 3 to 5 free-plan workflow tests.
Starter ($99/month) covers teams with one to three core AI content automation use cases running at moderate production volume. Scale ($499/month) is for organizations where multiple departments all depend on AirOps workflows, or where single-department content automation volumes exceed Starter's execution limits. The core features — workflow builder, template library, integrations, scheduling — are available on both. The difference is execution capacity: Scale provides significantly more monthly executions and priority processing for high-volume batches.
AirOps integrates natively with tools common in content operations stacks — Notion, Airtable, Google Sheets — and supports webhook and API connections to other systems. Direct native integrations for specific CMS platforms like WordPress or Contentful vary; check airops.com for the current integration list, as new connectors are added regularly. For CMSs without a native connector, routing workflow outputs through webhook or API connections to your CMS is typically feasible. Confirm your specific CMS integration requirements during the free plan evaluation before committing to a paid tier.
For a small team with at least one clearly defined high-volume AI content task, yes — the break-even is low. If AirOps saves a content specialist 3 hours per month on a task that costs $35/hour in labor, the tool pays for itself. The key qualifier is 'clearly defined high-volume task': if you're automating product descriptions, brief generation, or content repurposing at 50+ pieces monthly, Starter at $99/month is easy to justify. If automation needs are unclear or volume is low, the free plan is sufficient and the upgrade can wait until volume grows.
Yes. AirOps supports scheduled workflow execution — you set a cadence and the workflow runs automatically without manual triggering. This is valuable for recurring content tasks: weekly competitive research summaries, daily lead enrichment processing, regular content repurposing pipelines, or any workflow that needs to run on a consistent schedule. Scheduled workflows route outputs to connected tools automatically. The scheduling capability is available on Starter and Scale plans, turning AirOps from a manual-trigger tool into a continuous automation layer for content operations.
AirOps works well for any content task that follows a consistent input-output pattern: same structure of input, same type of desired output, repeatable at volume. Common workflows: bulk product description generation from catalog data, content brief generation from keyword lists, long-form article repurposing into social posts or email content, competitive research summarization, lead enrichment with AI-researched company context, and content classification or tagging for large content libraries. If a task is currently done manually by copying input data into an AI tool, writing a prompt, and recording the output — that task is a strong candidate for AirOps automation.
Yes. AirOps connects to multiple AI model providers, allowing you to choose which model handles specific workflow steps based on quality, speed, and cost requirements. More capable models produce better long-form writing output but cost more per execution; faster models suit classification or extraction tasks where throughput matters more than quality. Check airops.com for the current list of supported model providers.
Yes — that's AirOps's primary design goal. The visual workflow builder uses a drag-and-drop canvas where each step in the AI pipeline is a block you configure through form fields rather than code. Connecting a data source, configuring an AI generation step, and routing outputs to Google Sheets or Notion requires no coding knowledge. Most non-technical users can build functional workflows from a template within 2 to 3 hours of first using the platform.
AirOps at $99 to $499/month runs $1,188 to $5,988/year. A content operations specialist managing AI workflows costs $65,000 to $100,000/year. The tools aren't direct substitutes — a specialist brings judgment and adaptive problem-solving that AirOps can't replicate. But for teams considering headcount specifically to handle repetitive AI content tasks, AirOps can eliminate or significantly reduce that specific need. For teams planning broader content operations hires, AirOps makes that person significantly more productive by handling the mechanical workflow steps.
Was this guide helpful?
Thanks for the signal. We'll keep this guide sharp.