Everything Zocket does, explained for the team.

Zocket is an AI marketing workspace for consumer brands and regulated advertisers. A modern brand has to ship hundreds of on-brand creatives a month across a dozen platforms and languages, answer every customer comment, and keep paid spend efficient, and no single tool does all of that. Teams stitch together a design tool, agencies, a listening tool, and the native ad managers, and still can't answer "which campaign is burning money right now?"

Zocket collapses that stack into one login built around a shared Brand Brain and a set of AI agents. You start on Home with one prompt box, "What would you like to create with Zocket today?", and Zocket routes your request to the right agent. Everything runs on the Brand Brain: a knowledge graph of your products, brand rules, personas, compliance constraints, and past creatives that every agent reads before it acts. That's why output comes back on-brand without prompt engineering, and it's a screen you can point at (/brand-brain): a live signal counter, connected sources with freshness, the graph broken out by layer, and per-module Skills.

The sections and shared surfaces, in plain words:

• Tasks: "turn insight into work." One queue (List/Board/Calendar) where any AI suggestion from any agent becomes a tracked, owned, dated task, with To Do / In Progress / Overdue / Completed counters.
• Brand Brain: "what does Zocket know about us?" The knowledge graph, visible: Overview (live signals, share of category voice, the graph by layer, sources), Signals, Sources, and Skills: per-brand instructions scoped to a single module.
• AI Designer: "make me creatives." 26 specialized apps across four groups, Create from Scratch, Content & Copy, Transform & Adapt, Competitive & Commerce, that generate, adapt, localize and audit creative. Approvals and an Activity trail are built in.
• Brand Moderator: "reply to everything said about us, safely." A single Review Queue for comments, DMs and scheduled replies with AI-drafted, human-approved responses (nothing is ever auto-posted), plus a Rules Engine, Agent Playbook, Action History, and the AI Researcher.
• Consumer Insights: "what are customers saying, and how do we rank?" Social Intelligence (share of voice, category rank, sentiment, topics, channels), Sub-Brands, and Mentions, the raw stream behind the charts.
• AI Paid Media: "is my ad money working?" Three screens: Overview (performance snapshot, funnel diagnosis, AI chat with Deep Research), Goals (targets at account/platform/campaign scope with on-track / at-risk / breached status), and Connectors.
• Reporting: "stop rebuilding the same deck." Top-level and cross-module: Dashboards built by prompt, saved Reports, scheduled Alerts with a delivery history, and the diagnostic Playbook.

What to unlearn if you knew an earlier version. There is no separate "Brand Intelligence" or "Brand Governance" module. Three more recent changes matter for anyone working off an older deck: Reporting became its own top-level section and took Dashboards, Reports, Alerts and the Playbook out of AI Paid Media; Consumer Insights was restructured to Social / Sub-Brands / Mentions on the /consumer-insights/* route; and the AI Designer Feed was removed, with moment-marketing now running through the Content Discovery and Content Planner apps.

The customer is a brand manager, performance marketer, or VP of brand at a mid-to-large consumer brand, footwear, electronics, financial services, FMCG. Increasingly also B2B and enterprise (Numeric UPS, Montra Electric, Signode) wanting full-funnel role-based dashboards and CRM integration, and agencies and OEM partners (Pivotroots, Langoor, Paytm) wanting multi-client or white-label deployment. Big enough that creative volume is a real operational problem. Often regulated enough that "just ship it fast" isn't an option. How the pitch changes by vertical is on Industry Plays.

A new team member should remember the platform as: one prompt box, one Brand Brain, a set of agents: produce (AI Designer), respond (Brand Moderator), listen (Consumer Insights), optimize (AI Paid Media), report (Reporting), and act (Tasks).