The growth desk behind Marketing AI.
15 workflows for teams that need senior marketing judgment, clean deliverables, and production speed without giving automation the final say. Marketing AI runs paid and organic together - SEO, Google Ads, Meta Ads, TikTok Ads, content, and reporting - end to end.
Start with one workflow or run the whole desk.
Audit-led discovery
Use a real domain to open the conversation with evidence: technical risks, content gaps, schema issues, answer-engine gaps, and the first fixes worth approving.
Growth planning
Turn search, analytics, paid, and competitor signals into a plan with pages, keywords, channels, budgets, and launch priorities tied together.
Reviewable production
Draft the work faster while keeping the accountable person in control. Nothing publishes until a human says it is ready.
Every service has a job to do.
Each workflow produces something your team can inspect: a report, a draft, a map, a queue, or a decision. The point is progress you can review.
Outputs built for the meeting after the meeting.
Marketing AI packages work so an agency operator, in-house lead, or founder can explain what changed, why it matters, and what should happen next.
Marketing AI drafts. Your team decides.
Read the site and channel data
Marketing AI starts with crawl data, search data, analytics context, page structure, and the business goal behind the work.
Rank the work by impact
Findings are grouped by risk, opportunity, and effort so the first sprint is practical rather than noisy.
Draft what the team can review
Outputs become briefs, metadata, schema, reports, page plans, and paid-channel work with source context attached.
Keep approval in the workflow
Marketing AI drafts and organizes the work. Your team decides what gets edited, sent, launched, or left alone.
Trade the stack for Marketing AI.
Marketing AI replaces the SEO suite, the ad-management tool, the content stack, the reporting deck, and the Ahrefs subscription. One queue, one approval, one bill.