Adept AI vs AirOps

Adept builds agentic automation that watches how you work in the browser and repeats multi-step software workflows on command. You teach actions in plain language, and Adept's models translate them into repeatable agents for spreadsheets, CRMs, and internal web apps.

Compared with brittle RPA macros, Adept's Workflow Language composes multimodal web interactions on top of its own models, so agents adapt when layouts shift instead of breaking on every UI tweak. Amazon licensed Adept technology in 2024, but Adept continues as an independent company focused on enterprise agents.

Operations teams, revenue ops analysts, and product engineers use Adept to offload repetitive browser work without maintaining a separate macro script library.

AirOps bundles AI search analytics, content workflows, and an agent called Quill into one platform for marketing teams chasing visibility in Google and AI answer engines. Dashboards track citations, share of voice, and competitor gaps across ChatGPT, Perplexity, Claude, Gemini, and traditional search. Quill turns written Playbooks into executed campaigns with human review checkpoints before anything ships.

Most AEO dashboards stop at reporting what broke. AirOps closes the loop by routing accepted campaigns back into the same workspace, so each round learns from outcomes instead of handing strategy to a separate writing tool. The trade-off is focus: it is built for content and SEO teams, not general app builders or SQL analysts.

Content engineers, SEO leads, and marketing operators at brands like Webflow, Chime, and Ramp use it to refresh stale pages, create net-new content, and track offsite mentions that drive AI visibility. Integrations cover Webflow, WordPress, Contentful, HubSpot, Slack, and Asana so publishing stays inside existing stacks.