AWX, short for Agentic Workforce Execution, is the execution layer built into KIME that turns AI visibility insights into finished content and outreach. KIME first analyzes how your brand appears across AI models like ChatGPT, Gemini, and Perplexity, identifies where you are missing from AI-generated answers, and generates a prioritized list of actions to close those gaps. AWX then executes those actions for you, creating the content, writing the outreach, and producing the deliverables your brand needs, instead of handing you a report and leaving the work to your team.

AWX generates GEO-optimized articles, outreach emails to editors and publishers, FAQ and knowledge base pages, and technical documentation. It does not produce generic content: every output is tied to a specific action in your queue, targeting the exact topics, sources, or formats that will improve how AI models perceive and cite your brand. All content is grounded in competitive data and written in your brand voice using the learnings stored in Optimus KIME.

KIME presents a prioritized queue of actions based on your competitive data and AI visibility gaps, and you choose which to run. You can execute individual tasks or select several at once, and selected actions run in parallel. Each action includes a strategic breakdown of why it matters, what is currently missing, and competitor examples for reference, so you can decide which tasks will have the biggest impact on your AI visibility before committing.

Optimus KIME is the chat interface attached to every output AWX creates. After content is generated, you refine it with natural-language instructions like 'make this less formal' or 'add more technical detail'. You choose whether to apply a change as a one-time edit or save it as a stored learning that shapes all future content. Over time, Optimus KIME learns your preferences for tone, structure, terminology, and style, so every new output is more aligned with your brand voice without manual corrections.

All content AWX creates is stored and organized inside KIME. When you are happy with an output, you copy it into your CMS, email tool, or wherever you publish. There is no direct CMS integration yet, but everything is export-ready, and each piece stays linked to the action it was created for, so you always have context on which AI visibility gap it addresses.

Generic AI writing tools like ChatGPT create whatever you ask, but you have to decide what to write, who to target, and what angle to take, and you have to re-explain your brand every single time. AWX is built to do more. It writes what the data says you need: every action is driven by competitive intelligence, AI citation analysis, and visibility-gap data that KIME collects across every major AI model. On top of that, AWX writes in your brand voice, learning your tone of voice, terminology, structure, and style through Optimus KIME, so every output stays consistently on-brand instead of sounding generic. You are not guessing what to create or fixing off-brand drafts, you are executing a data-driven generative engine optimization (GEO) strategy where every output is purpose-built to improve how AI models perceive, reference, and recommend your brand.