For marketing ops and content creators
Tell us what you need to finish. Each AI marketing workflow shows the setup, permissions, first test, and way back if the automation goes wrong.
Workflow library
Normalize channel metrics, flag material changes, and produce a short brief with links back to the source data.
Capture a form submission, enrich only the fields you need, score it against explicit rules, and queue the route for review.
Extract the strongest ideas from a video, article, or podcast and turn them into channel-specific drafts and visual briefs.
Cluster recurring customer language, preserve source quotes, and build campaign angles without losing the nuance of the interview.
Track a constrained set of public pages, record meaningful changes, and separate observed evidence from interpretation.
Collect ideas, shape a single editorial promise, produce supporting assets, and keep the send behind a final human review.
Create consistent UTM links from a controlled taxonomy and stop the launch when required fields or destinations fail.
Generate controlled headline and visual variations from an approved brief, then preserve why each version changed.
Skills for specific marketing jobs
Audit crawlability, indexation, on-page SEO, content quality, and technical foundations in priority order.
Write conversion-focused copy for homepages, landing pages, pricing pages, and product launches.
Turn recurring marketing work into bounded loops with a trigger, cadence, self-check, human checkpoint, and stopping condition.
Start with the tools you already have
Automation platform
Visual orchestration for branching, multi-app workflows
Marketing operations teams that want to inspect data movement, transformations, routers, AI steps, and exceptions on one visual canvas.
Automation platform
Quick automation across a very broad app catalog
Marketing teams that want a guided, no-code route from a trigger to a dependable action across a large software stack.
CRM-native AI
CRM-grounded content, lead operations, and AI visibility
Marketing operations teams already using HubSpot that want AI to work from governed customer, campaign, and pipeline context.
Direct answers
Start with one recurring job, reliable inputs, and a person who will check the result.
An AI marketing workflow is a repeatable way to complete a marketing task with approved data, connected tools, and a person checking the result. AI may research, sort, analyze, or draft. The marketer still owns decisions that affect customers, budgets, or published work.
Pick a recurring task with one owner, reliable inputs, an output you can inspect, and a simple measure of success. Weekly reporting or draft preparation is usually a better first test than automatic publishing or customer email.
Most do not. You can build many of them with visual automation tools, spreadsheets, connected AI workspaces, and saved prompts. API work and self-hosted automation need someone who can own the technical setup.
Run it on sample data or a completed campaign first. Limit write access, compare the output with a known result, note where it fails, and make sure you can undo its actions before turning on a live trigger.
Explore by topic
Start with the job on your list, then open the runbook, prompt, skill, or tutorial that shows how to finish it.
