AirOps

AirOps is a workflow builder for AI-generated content. Instead of a chat box that returns one article, you assemble a chain of steps — retrieve a keyword's SERP data, pull rows from a database, call a model, critique the draft with a second model, format it, push it to your CMS — and then run that chain across hundreds of inputs at once. The unit of work is the pipeline, not the prompt.

The target user is a content or SEO team at a company with real publishing volume, not an individual writer. That shapes everything about the product: brand knowledge bases exist so voice and style survive across thousands of outputs, "grids" exist so a workflow can be executed spreadsheet-style over a large keyword or product list, and the integrations lean toward Webflow, Contentful, Shopify and WordPress so the output lands in production rather than a clipboard. Programmatic SEO — generating structured pages from a data source — is the use case it's most obviously built around.

What separates it from Jasper or Writer is that AirOps is model-agnostic and step-level: you can put an Anthropic model on the drafting step and a different provider on the evaluation step inside one workflow, and drop in code, SQL or API calls between them. That flexibility is also the catch — this is closer to a low-code automation tool than a writing assistant, and it expects someone on the team willing to build and debug pipelines.