wiki/clients/current/papertube/2026-02-09-abm-campaign-ai-generated-research.md · 687 words · 2026-02-09

ABM Campaign — AI-Generated Research & Strategy (Feb 2026)

Overview

In February 2026, Mark ran an AI agent over several hours to generate a comprehensive set of research and strategy documents for PaperTube's ABM campaign. The agent produced 250 research documents and 250 strategy documents — one pair per target company — covering company intelligence, contact prioritization, and personalized outreach sequences.

Documents are stored in a shared Google Drive folder (Projects > ABM) and partially loaded into Salesforce. The next step is ingesting the email sequences into Salesforce Account Engagement (Pardot) and validating the output with Parag before full campaign launch.

This work is being managed within the [1] platform, which is purpose-built to handle the complexity of multi-target ABM campaigns.


Document Types

Research Documents (250)

Each research document covers one target company and includes:

Strategy Documents (250)

Each strategy document is paired with its corresponding research document and includes:


Current Status

Item Status
Research documents (250) ✅ Generated, in shared Google Drive
Strategy documents (250) ✅ Generated, in shared Google Drive
Campaigns in Salesforce ✅ Loaded
Contacts in Salesforce ✅ Loaded
Email sequences in Account Engagement ❌ Not yet ingested
Parag review / validation ⏳ Pending — samples to be sent
Documents ingested into Orbit ABM ⏳ In progress

Key Decisions


Action Items


Process Notes

The documents were generated by an AI agent that ran autonomously for several hours. Mark described the output quality as genuinely impressive — each document contains real company names, specific contact rationale, and packaging-specific intelligence tailored to PaperTube's value proposition. What would have taken a human researcher significant time per company was produced at scale overnight.

"I created an agent that just ran for a couple hours and we've got 500 documents. And when you go look at them, they're amazing — each document has the names of people and why we should talk to that person and why we shouldn't talk to this other person and what we should lead with." — Mark Hope


Sources

  1. Orbit Abm|Orbit Abm
  2. Orbit Abm|Orbit Abm Platform
  3. Client Brain|Client Brain (Rag Database)
  4. Index|Papertube Client Overview
  5. 2026 02 09 Impromptu Zoom Org Structure Staffing Ai Tools|Feb 9 2026 Impromptu Zoom — Org Structure · Staffing & Ai Tools