Major ReleaseMarketingFebruary 26, 2026

Introducing Marketing Orchestrator

From "who should we target" to "we sent a personalized campaign and here's what happened" — without five different tools.

B2B marketing teams run 5–8 tools that don't talk to each other. ICP lives in a spreadsheet, content in a Google Doc, social monitoring in a separate platform. Nothing has the full picture, so nothing can act intelligently on it.

Marketing Orchestrator is a single workspace where your product context, audience data, content, and campaign execution all live together. Because when the system actually knows your product, your ICP, and your accounts, the AI has something real to work with — and the output reflects that.

Every piece of information you add makes every action smarter. Your ICP improves email copy. Your product positioning shapes campaign narratives. Your account signals prioritize who gets reached out to first. Context compounds.

Product & Brand Library

The foundation everything else builds on.

Before the agent does anything — writes an email, finds an account, drafts a response — it reads your product library. That's why the output feels on-brand: the system actually knows what you've built.

Product Catalog

Define each product with its ICP, use cases, features, keywords, and competitors. One source of truth the AI reads first.

Brand Foundations

Tone guidelines, messaging framework, and positioning pillars. Every piece of generated content draws from this.

Social Channels

Curated subreddit lists per product. The AI suggests communities from your ICP profile — you review and accept them.

New in this release: Per-product subreddit curation. Instead of scanning generic communities, the agent surfaces niche subreddits where your ICP actually hangs out — based on your ICP definition. You approve the list once, and every future scan is sharper for it.

Account & Audience Intelligence

Find the accounts worth targeting. Skip the manual research.

Define your ICP once and the agent goes to work. It finds matching companies, enriches each one automatically, and surfaces a scored, prioritized account list — ready for outreach, not more research.

  • AI-powered account discovery matched to your ICP definition
  • Auto-enrichment: company size, industry, tech stack, hiring signals, recent news
  • Spreadsheet-style interface for bulk review and management
  • Contact discovery and enrichment per account
  • Account scoring and prioritization so you know who to reach out to first

This doesn't replace your CRM — it feeds it. Accounts that get qualified and scored here flow into whatever system you use to track pipeline.

Social Listening

Know when your ICP is expressing a pain you solve.

The highest-value conversations happen before someone's ever heard of you. A VP of Marketing on Reddit asking "how do other teams track campaign attribution across channels" is a buyer. Marketing Orchestrator finds them.

Monitors Reddit and other platforms for buying signals, pain points, and competitor mentions
Each mention is scored for ICP fit and classified by intent: buying signal, pain point, competitor mention, or educational
Response drafting: the agent writes a contextually appropriate reply for high-value threads
Niche community coverage: scans target the subreddits where your ICP actually hangs out, not r/SaaS

The agent drafts a reply — you review it before anything is sent. That review step is intentional. The goal isn't fully automated posting; it's getting to a high-quality, contextually right response in under two minutes instead of twenty.

Campaign Narratives

Positioning into a campaign story, not just a one-off email.

Most B2B campaigns fail not because the product is wrong but because the story is generic. Marketing Orchestrator generates campaign narratives from your product's actual positioning — different angles, different cohorts, different messages for where each account is in the buying process.

1

Narrative arcs

Multiple campaign angles generated from your positioning and competitive context

2

Audience cohorts

Different message for accounts in discovery vs. consideration vs. decision — not the same email to everyone

3

Approval workflow

Review and approve narratives before anything gets built into sequences

Email Campaign Execution

Write, schedule, and send. At account level.

The agent writes emails the way a good marketer does: using what it knows about the account, the contact's role, your product's positioning, and any signals it's picked up from enrichment or social listening. Not a template with a first name swapped in.

Per-contact personalization

Subject lines and body copy written per contact, drawing on product context and account signals. Not mail merge.

Multi-step sequences

Automated follow-up timing built into the campaign so nothing falls through the cracks.

Email guardrails

Banned phrases, tone requirements, and word limits enforced automatically. What gets sent reflects your brand standards.

Reply triage

Hot prospects flagged for immediate follow-up. Never miss a response that matters.

// What it looks like in practice

01

Define your product's ICP

You add your product to the library — use case, target buyer, pain points, positioning. Takes 10 minutes.

02

Agent finds 40 matching accounts

The account discovery agent matches companies to your ICP criteria, enriches each one, and surfaces the ones most likely to buy now.

03

Social listening catches the signal

12 of those accounts have contacts posting on Reddit about the exact pain your product solves. The agent flags them and drafts replies.

04

You approve. It goes out.

You review the draft reply. One click to approve. It ships. That thread becomes a conversation, and that conversation becomes a pipeline entry.

Command Center

One view across everything.

Active campaigns, pending reviews, recent social signals, and a feed of what the agent has been doing autonomously — all in one place. The Command Center surfaces what needs your attention and keeps everything else moving in the background.

The agent runs autonomously on research, enrichment, and monitoring. The review queue is where you stay in the loop — approving replies before they go out, signing off on campaign narratives before sequences launch, confirming account lists before targeting begins. Autonomous where it can be. Human where it should be.

Why it works differently

Context compounds

Every piece of product and audience data you add makes every AI action better. Your ICP improves account scoring. Your subreddit list sharpens social monitoring. Your account signals personalize email copy. The system builds on itself.

Review before it ships

The agent generates; you approve. Nothing goes out — no email, no social reply, no campaign — without a checkpoint. That's not a limitation. It's the model.

One workspace

The system knows what your ICP looks like, what your brand sounds like, who your accounts are, and what signals are firing on Reddit right now. That's why it can act intelligently — not just autocomplete.

Start with your product library

Add one product, define its ICP, and the rest follows. Account discovery, social monitoring, campaign generation — it all gets sharper from there.

One workspace. Your ICP, your accounts, your campaigns.

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