ZenABM is an account-based marketing and LinkedIn advertising platform featuring Zena, an AI agent, and an MCP server that lets users generate, optimize, and report on campaigns natively or through external AI tools.
What the product does and how it is positioned
ZenABM is designed to create, launch, analyze, optimize, and report on LinkedIn Ads using artificial intelligence. The system provides two main operational modes: a native conversational AI agent named Zena and a Model Context Protocol (MCP) server that connects to external AI clients such as Claude, ChatGPT, Perplexity, Cursor, and Gemini.
Through its core toolset, ZenABM provides 96 read and write tools alongside 15 preconfigured ABM skills, enabling teams to automate reporting, audit campaigns, adjust budgets, and generate ad assets. The platform maintains human-in-the-loop oversight by holding campaign launches and optimization actions in draft until explicitly confirmed by the user.
Source-supported ways to use the product
Marketing teams describe campaign goals in Zena or an external AI client to automatically generate ad copy, select creatives, configure targeting, and stage drafts for review in LinkedIn Campaign Manager.
Marketers schedule automated weekly, monthly, or quarterly email reports and execute slash-command audits to evaluate ad decay, sales handoff lists, and pipeline cross-referencing.
Teams identify underperforming LinkedIn ads to adjust bids, reallocate budgets, pause inefficient ad sets, and create new retargeting audiences from ad engagement and CRM events.
ZenABM integrates AI functionality through two primary interfaces: the native conversational agent Zena and an MCP server compatible with third-party AI clients. The MCP server bridges external large language models with LinkedIn Ads, CRM, and ABM data through 96 read and write tools and 15 preconfigured expert skills.
Rather than automating execution without human oversight, the system enforces an approval workflow. Campaigns and ad sets created through conversational prompts in Claude, ChatGPT, Gemini, or Zena are staged as drafts, requiring user confirmation or review in LinkedIn Campaign Manager before launching.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Zena is a native AI agent for chat-based campaign building and reporting, the MCP server connects external AI clients to 96 tools and 15 ABM skills, and the API allows developers to pull LinkedIn engagement and performance data into external systems.
The MCP server is explicitly documented to work with AI clients including Claude, ChatGPT, Cursor, Perplexity, and Gemini.
ZenABM supports both read and write operations across 96 tools, but all live actions, including campaign publishing, budget adjustments, and bid changes, require user approval before execution.
Zena provides automated weekly, monthly, and quarterly reports sent directly to an email inbox, as well as on-demand reports cross-referencing campaign performance with pipeline data.
The MCP server includes 15 ready-made ABM skills accessible via slash commands, covering campaign audits, monthly performance reports, strategy planning, ad decay checks, and sales handoff lists.
