In enterprise advocacy marketing, the biggest bottleneck is often not content creation. It is decision-making.
Which customers should a brand activate? Which content deserves greater visibility? Which comments signal genuine purchase intent? The quality of these decisions determines whether advocacy programs can move beyond manual execution and scale in a measurable, systematic way.
AI agents are beginning to fundamentally change how this work gets done.
DeepZero has launched DeepKOX, an AI-powered advocacy marketing system designed to orchestrate the full workflow with multiple AI agents. The “X” represents the broad range of key roles involved in advocacy programs, including KOC, KOS, KOE, KOB, and others.
DeepKOX shifts advocacy marketing from manually coordinated workflows to an end-to-end operating model driven by multi-agent AI.
From Task Management to End-to-End Execution
Traditional KOC and KOS platforms can distribute tasks, but much of the critical work around them remains fragmented.
Matching the right people to the right campaign, producing effective content, identifying valuable feedback, and analyzing outcomes often still require extensive manual coordination.
DeepKOX changes that model.
Multiple AI agents work toward the same business objective across the entire workflow, from task matching and content generation to feedback identification and performance analysis.
Instead of relying on people to manually connect each step, tasks are executed, content is produced, customer signals are routed, and operational knowledge is continuously captured within one connected workflow.
What used to be a collection of isolated tasks becomes a complete job executed around a shared business goal.
Already Replacing Traditional KOC and KOS Systems
The transition from conventional KOC and KOS platforms to DeepKOX is already taking place among leading enterprise customers.
A leading beauty brand with more than 400 stores and 3,000 sales associates previously relied on a traditional KOS system primarily for task distribution. People, content, and customer feedback remained fragmented across individual stores, leaving headquarters to coordinate much of the process manually.
After deploying DeepKOX, multiple AI agents were introduced across the advocacy workflow, helping organize the brand’s sales force into a distributed brand advocacy network. The result: a 300% increase in qualified leads.
A leading new-energy vehicle manufacturer faced a different challenge. Its traditional KOC platform supported a community of millions of vehicle owners, but campaign tasks could only be distributed broadly based on basic customer tags. Critical decisions before, during, and after each campaign still depended heavily on manual intervention.
With DeepKOX, multiple AI agents now execute the workflow around each campaign objective, automatically advancing tasks across different stages. Campaign participation increased by 35%, while high-value customer inquiries can be identified and routed to sales teams in time for follow-up.
The company has since fully replaced the traditional KOC system it had used for years with DeepKOX.
More Than Adding AI Features
DeepKOX is not a traditional marketing platform with a layer of AI features added on top.
It represents a broader redesign of the operating model itself.
When multiple AI agents are embedded across the full workflow, enterprises gain more than a collection of software capabilities. They gain an AI-powered operating team that can execute tasks autonomously, coordinate decisions across stages, learn from business outcomes, and continuously improve how work gets done.
As a major part of DeepZero’s Agentic Software strategy, DeepKOX is bringing this model to advocacy marketing—connecting decision-making, execution, feedback, and optimization into a closed-loop system.
The goal is straightforward: let AI handle complex operational decisions and turn advocacy marketing into measurable business growth.
