Draft & Goal
Corporate brand
UnclaimedCanadian AI company building an agentic 'MarketingOS' that orchestrates autonomous agents across enterprise marketing workflows.
Last updated September 28, 2026
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Overview
Draft & Goal is a Canadian artificial intelligence company that describes itself as building the orchestration layer for agentic marketing. Its flagship product, branded the MarketingOS, is a platform on which enterprise marketing teams compose autonomous agents, run them safely at scale, and trust the results. Rather than adding AI features to existing marketing tools one button at a time, Draft & Goal positions itself around a changed 'unit of work' — from tasks that people perform to outcomes that agents own. The company markets itself as model-agnostic and cloud-agnostic, and frames its value around the operational reality of a CMO who must ship quarter after quarter on a budget that is not growing. The platform runs the recurring work around marketing: research, production, localization, quality assurance, publishing, and reporting. Its pitch is that teams should open the product to make decisions rather than to assemble work — performance data is collected and anomalies explained before anyone pulls reports, content and localizations arrive checked against sources, standards, and approval rules, and approved work publishes automatically. Draft & Goal presents this as moving work 'from backlog to background,' handling the handoffs between the many SaaS tools an enterprise marketing stack already contains. Alongside the software, Draft & Goal offers enterprise AI services for marketing, pairing agentic AI engineering with marketing expertise. Its delivery model covers discovery (workflow and ROI mapping), design (data, brand, and governance), build (agents, connectors, reviews), and launch (runbook, enablement, handoff), with a stated target of a first production workflow in 30 days. Three engagement modes — Launch, Extend, and Operate — are designed to leave customers with a working system and more internal capability than they started with. The company serves enterprise-scale marketing teams. Publicly highlighted customers include La Poste Groupe, whose La Poste en Ligne unit used agentic SEO and GEO workflows to optimize 2,200 pages, reporting +7% traffic, +17% rankings, +58% CTR, and zero field escalations. Draft & Goal has also appeared at industry events such as VivaTech 2026 in Paris, where it was named to Klein Blue's curated 100-startup panorama, and it integrates third-party frontier models, including Anthropic's Claude Fable 5, as well as data sources such as Semrush and YouTube research signals. Co-founder Vincent Terrasi has spoken publicly on AI-orchestrated marketing and its impact on ABM, SEO, and B2B performance.
History
Draft & Goal is a Canadian artificial intelligence company specializing in agentic marketing automation. It emerged around the thesis that agentic AI changes the fundamental unit of work in enterprise marketing — from tasks that people perform to outcomes that agents own. The company argues that for two decades enterprise marketing tools were designed around a human clicking buttons, with AI features bolted on one at a time, fourteen SaaS tools wired together by fragile playbooks, and more analysts hired whenever scale broke. Draft & Goal positions itself as the orchestration layer for the next era, where winning companies will not have bigger teams but better orchestration. The company built and markets a platform it calls the MarketingOS. The product runs the recurring work around marketing — research, production, localization, quality assurance, publishing, and reporting — so that teams begin the week with decisions ready to make rather than tasks waiting to be moved. Its design principles are explicit: agents rather than assistants (an assistant waits to be asked, an agent owns an outcome), model-agnostic by default (so customers are not locked into a single frontier model as the frontier moves each quarter), and a focus on the operational reality of a CMO who must ship quarter after quarter with a budget that is not growing. Alongside the software, Draft & Goal offers enterprise AI services for marketing, pairing agentic AI engineering with marketing expertise. The delivery model spans discovery (workflow and ROI mapping), design (data, brand, and governance), build (agents, connectors, reviews), and launch (runbook, enablement, handoff), with a stated target of a first production workflow in 30 days. Three engagement modes — Launch, Extend, and Operate — are designed to leave customers with a working system and more internal capability than they started with. By 2026 the company was publicly showcasing enterprise customers and industry presence. In July 2026 it announced that La Poste Groupe's La Poste en Ligne unit had scaled agentic AI for SEO and GEO with Draft & Goal, optimizing 2,200 pages and reporting +7% traffic, +17% rankings, +58% CTR, and zero field escalations. In June 2026 Draft & Goal appeared at VivaTech 2026 in Paris, was named to Klein Blue's curated 100-startup panorama, and announced that Anthropic's Claude Fable 5 model had become available in the platform for large-scale, self-verifying production and document analysis. It also publicized integrations with Semrush keyword data and workflows that turn YouTube into a research signal. Co-founder Vincent Terrasi has spoken publicly on AI-orchestrated marketing and its reshaping of ABM, SEO, and B2B performance.
Announced Semrush integration bringing keyword data to published content at scale.
Published workflow for turning YouTube into a research signal.
Co-founder Vincent Terrasi scheduled to speak on AI-orchestrated marketing at Parc des Princes.
Anthropic's Claude Fable 5 model became available in Draft & Goal.
Announced presence at VivaTech 2026 in Paris, June 17–20.
Named to Klein Blue's curated 100-startup panorama ahead of VivaTech 2026.
Showcased AI-assisted marketing production at scale at VivaTech 2026.
La Poste Groupe announced scaling agentic AI for SEO and GEO with Draft & Goal, optimizing 2,200 pages.
Products and positioning
The orchestration layer for agentic marketing — a model-agnostic, cloud-agnostic MarketingOS that lets enterprise teams compose autonomous agents, run them safely at scale, and trust the results.
MarketingOS
Agentic marketing platform that runs recurring work across research, production, localization, QA, publishing, and reporting.
Enterprise AI onboarding (Launch)
Moves a first governed marketing workflow into production with configuration, acceptance criteria, and launch support.
Implementation & integration engineering (Extend)
Builds the workflows and connections an operating model needs.
Operate
Ongoing operation of agentic marketing workflows.
Sources5 sources
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