> For the complete documentation index, see [llms.txt](https://docs.airops.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.airops.com/getting-started/working-with-airops.md). # Working with AirOps Build and execute your AI discovery strategy with AirOps experts who work alongside your team, from choosing channels to measuring results. AirOps combines a platform with experienced strategists and channel experts who work as an extension of your team. We help you define the opportunity for your brand, build the strategy, and execute the work, whether you are starting an AI discovery program or expanding one. ## Turn intelligence into priorities Start with your business goals and the buyers you need to reach. AirOps Insights shows where your brand stands, where competitors have an advantage, and which opportunities deserve attention. Our experts work with your team to interpret that intelligence, choose which gaps to address, and agree on the outcomes that will define success. ## Build the channel plan AI discovery draws on owned content, external content, AI ads, influencer and social, and community. The right investment across those channels depends on your category, audience, and goals. AirOps experts help you prioritize where to put budget and effort, then adjust the mix as opportunities and buyer behavior change. ## Execute together AirOps experts build and run programs on the platform alongside your team. Campaigns connect opportunities to action, while Playbooks, Workflows, and Grids carry out repeatable work with your brand context. Your team contributes its knowledge, reviews the work, and controls what ships. That collaboration keeps strategy and execution connected. The decisions your team makes can inform the instructions, context, and review standards you use for future work. ## Use results to decide what comes next AirOps keeps the original opportunity, accepted work, release, and result connected. Together, we review how shipped work relates to changes in citations, traffic, engagement, and the outcomes that matter to your business. Use that evidence to identify work that needs another pass, scale effective programs, and choose the next investment. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.airops.com/getting-started/working-with-airops.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.