Aurelien Aubert

Founder, Cargo

LinkedIn

17 articles.

• AI loop engineering for GTM: how you build an autonomous revenue engine

  Loop engineering came out of coding agents, where the verifier is free. Revenue doesn't have one. This is how to build the missing verifier, in the order that turns a pile of agents into an autonomous GTM engine.

• Best GTM Orchestration Platforms in 2026

  The best GTM orchestration platforms in 2026, compared for technical revenue teams: what each one orchestrates, what it treats as the artifact, and how to tell an orchestration layer from a workflow tool. Cargo, Clay, Unify, Default, n8n, Workato, Tray, LeanData and Apollo.

• GTM software was built for humans. Agents are the new users.

  Every GTM tool of the last decade assumed a person clicking a UI. Agents don't click. They need infrastructure: data models, tools, plays, agents, and context, as primitives defined in code.

• The GTM Control Plane (2026): Why Orchestration Beats Point Automation

  In 2026, the winning GTM teams don’t just automate tasks, they orchestrate systems. Here’s the control-plane model: unify context, encode policy, and deploy actions across CRM, Slack, and outbound tools with near-zero revenue latency.

• LLM Evals for Revenue Agents (2026): How to Measure Quality, Not Activity

  If your AI agents are touching CRM and pipeline, you need evals. This guide explains practical evaluation frameworks for enrichment, routing, research, and outreach, plus how to deploy safely with canaries and segment-level monitoring.

• The CRM in 2026: Warehouse-Native, Event-Sourced, and Agent-Operated

  CRMs are shifting from being the system of record to being a system of engagement. In 2026, the winning architecture is warehouse-native data, event-sourced customer context, and agents that execute workflows with governance.

• Building an AI-Powered ICP Engine

  Build a dynamic ICP engine that learns from won/lost deals, surfaces emerging segments, and auto-updates targeting criteria. Includes architecture, data requirements, and operationalization workflows.

• Revenue Operations Guide for Growing Teams

  Build a RevOps function that aligns sales, marketing, and CS. Covers org structure, tech stack architecture, process design, metrics frameworks, and 90-day implementation roadmap for B2B SaaS teams.

• The Comprehensive Guide to TAM Prioritization

  According to Chet Holmes, only 3% of any market actively seeks solutions, while 40% might consider switching solutions.

• The right approach to B2B Lead scoring

  Lead & account scoring ranks those entities in order based on their likelihood of becoming customers

• The Rise of the GTM engineer

  How AI-Enabled GTM engineers Are Building the Next Gen of B2B Growth.

• Warehouse-First System of Engagement: Why the Future is Data-Native Operations

  Discover why warehouse-first architecture eliminates sync complexity, reduces costs by 44%, and creates a true single source of truth for revenue operations.

• What is a Prospect Relationship Management (PRM)?

  A prospect relationship management platform is a database made to manage your leads.

• What is a System of Engagement? Understanding the Foundation of Modern Revenue Operations

  Learn what systems of engagement are, how they differ from systems of record, and why traditional CRM-centric engagement is no longer enough for modern go-to-market teams.

• Cargo Is SOC 2 Type II Compliant, Building Trust for the AI Era

  Cargo achieves SOC 2 Type II compliance, demonstrating our commitment to protecting customer data and building trust in AI-powered revenue operations.

• The AI-Led GTM Maturity Curve: From Founder Hustle to Autonomous Growth

  AI is no longer a tool, it's a teammate. Every high-performing company starts in chaos and scales toward predictable revenue. This is the GTM maturity curve. The 5 stages every teams go through, the pain points at each, and how AI agents and humans work together to drive growth.

• Snowflake vs Salesforce - The system of record battle

  CRM was the first software to be a SaaS, it was the first software to own a marketplace, and the first software to provide a public API.