AirOps
AirOps runs repeatable research, drafting, and content refresh workflows.
Overview
- Transparency
- 4 / 10
- Trust
- 82 / 100
Trains on your data
- Free
- No
- Paid
- No
- Opt-out
- Not captured
Incidents
00
Assessed SEP 21, 2026 · Checked by hand SEP 21, 2026
SOC 2 Type II, no customer-content training, Enterprise OpenAI ZDR and deletion 30 days after account closure are confirmed; other compliance assertions and a published sub-processor list were not found.
Trust breakdown
82 / 100
Overall trust score
Data and privacy
Trains on your data
No training on user data
Storage regions
Sub-processors
Not disclosed
Data retention
Additionally, AirOps Enterprise customers benefit from OpenAI's Enterprise ZDR (Zero Data Retention) which means that submitted data is not stored, ever.
Deletion: A Data Processing Agreement with Standard Contractual Clauses is available, and customer data is permanently deleted 30 days after account closure.
Powered by
AirOps integrates with various third-party large language models (LLMs) such as OpenAI, Anthropic, and Google. They also support SpaceXAI and open-source models. Users can bring their own model keys.
Integrations and access
Integrations
Available on
Pricing
Insights
$0/month
1,000 tasks/month, 1 user, 1 Brand Kit, 5 knowledge-base sources, 30+ AI models, 10+ data providers, Community & live-chat support
Solo
~$200/mo
100 tracked prompts & pages, ChatGPT insights only, 20,000 tasks for content production, Monthly opportunity reports, 1 Brand Kit, 3 knowledge bases, Basic CMS & SEO integrations, Overage $0.025 per task
Pro
~$2,000/mo
250 tracked prompts & pages, Multi-engine insights (ChatGPT, Google, Perplexity, Google AI Studio), 75,000 tasks for content production, Weekly opportunity reports, CMS, SEO, AEO, Social & PM integrations, Unlimited seats
Enterprise
Custom
Custom prompts & task limits, Multiple regions, personas & languages, Custom agent builds, Unlimited knowledge bases & Brand Kits, Dedicated account manager & 1:1 onboarding, Embedded content engineer
Prices as listed on SEP 21, 2026; check the vendor's page.
Moat and openness
Moat
- Proprietary Model
- Proprietary Data
- Network Effects
- Switching Costmoderate
- Unique UX
- Distributionmoderate
AirOps has some defensibility due to its specialized platform for AI discovery strategy, strong integrations, and a growing list of notable customers. However, its reliance on third-party LLMs and the competitive landscape for content operations and AI writing platforms limit its proprietary model and data moats. The switching cost is moderate due to integrations and workflow embedding, but not exceptionally high.
Openness
- Open model weights
- Published research
- Open source contributions
- Transparency reports
- Public safety evals
AirOps emphasizes ethical AI, focusing on reducing bias, ensuring racism-free AI, and providing explainable AI. They integrate with OpenAI's models and adhere to their usage restrictions. AirOps is SOC 2 Type II compliant, with audit reports available upon request under NDA. They prioritize data security, segregation, and do not persistently store customer data at rest. While they discuss transparency in their AI systems and data handling, there is no indication of open-sourced models, published research, or public safety evaluations.
Timeline
- 2023-07AirOps Studio v1.0 launched, enabling users to visually build LLM-powered workflows, tools, and chat assistants.
Company
AirOps
- Founded
- 2021
- HQ
- San Francisco, California, United States
- Site
- airops.com
Popularity
0
monthly visits
Notable customers
AirOps is a content operations platform for marketing, SEO, and growth teams, competing with AI-native AEO and GEO startups, incumbent SEO suites, and enterprise AI writing platforms.
Value and ROI
What it should move: It shortens content refresh cycles and helps teams review pages on schedule.
Best fit
It fits content teams with a defined process for research sources, prompts, editorial checks, and approvals.
The catch
Automation can spread outdated research or weak edits. Teams must define sources, approvals, and change records first.
- Webflow: Uses AirOps to automate blog refresh workflows for search and AI discovery.[1]
- Chime: Uses AirOps to update blog posts through search-focused content workflows.[2]
In our stacks for
References
- 01Webflow: how it uses AirOpsAirOpsVendor-published
- 02Chime: how it uses AirOpsAirOpsVendor-published
- 03Privacy policyAirOpsVendor-published
- 04TermsAirOpsVendor-published
- 05Trust centerAirOpsVendor-published
- 06Pricing pageAirOpsVendor-published
- 07Company siteAirOpsVendor-published
- 08SOC 2AirOpsVendor-published